Journal articles on the topic 'Retrieval and management'
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Tokumi, Yuta, Junki Hakamata, and Masataka Tokumaru. "Development of a Nutritional Management System for a Healthy Eating Habits Support System." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 2 (March 20, 2013): 324–34. http://dx.doi.org/10.20965/jaciii.2013.p0324.
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In this study, we propose a Nutritional Management System (NMS) that optimizes nutritional balance using a tabu search. Contemporary recipe retrieval systems generally retrieve a recipe either by using a keyword or by recommending a popular recipe. However, these recipe retrieval systems yield the same retrieval results for different users, and thus, the results do not necessarily reflect an individual user’s tastes. In addition, the search results delivered by many recipe retrieval systems do not always describe the nutritional details of the recipes. Therefore, we developed a Healthy Eating Habits Support System for resolving these issues. This system is composed of an NMS and a Kansei Retrieval System (KRS). The NMS retrieves nutritionally balanced menus using a tabu search. The KRS learns a user’s taste preferences, and selects menus suitable for a user’s tastes from among the menus retrieved by the NMS. The KRS needs multiple nutritionally balanced menus to learn a user’s taste preferences. Thus, in this study, we simulated scenarios to examine whether the NMS can retrieve multiple nutritionally balanced menus in the long-term without duplication, using quasi recipe data and real recipe data. When we used quasi recipe data in a simulation with a very large number of recipes, the NMS could retrieve a sustained quantity of menus in the long-term. In addition, when we used real recipe data, the NMS could quickly retrieve menus over the long-term. Therefore, the effectiveness of the NMS was confirmed.
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Shen, Jin Xing. "Ontology-Based Semantic Retrieval for Management Information System." Applied Mechanics and Materials 278-280 (January 2013): 2069–72. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2069.
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In order to achieve semantic retrieval for scientific research information in WWW, this paper applies an ontology-based framework to information retrieval system for management information system. After analyze the limitations of traditional method, bring a semantic search forward, and mainly introduce the thought of the semantic retrieval as well as the way to constitute ontology entity and the language that describes it. Moreover, semantic retrieval system based on ontology is also given. The application to retrieve project information shows that the framework can overcome the localization of other ontology’s models, and this research facilitates the semantic retrieval of management information through semantic retrieval concepts on the Semantic Web.
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Ben Ayed, Alaidine, Ismaïl Biskri, and Jean-Guy Meunier. "An End-to-End Efficient Lucene-Based Framework of Document/Information Retrieval." International Journal of Information Retrieval Research 12, no. 1 (January 2022): 1–14. http://dx.doi.org/10.4018/ijirr.289950.
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In the context of big data and the 4.0 industrial revolution era, enhancing document/information retrieval frameworks efficiency to handle the ever‐growing volume of text data in an ever more digital world is a must. This article describes a double-stage system of document/information retrieval. First, a Lucene-based document retrieval tool is implemented, and a couple of query expansion techniques using a comparable corpus (Wikipedia) and word embeddings are proposed and tested. Second, a retention-fidelity summarization protocol is performed on top of the retrieved documents to create a short, accurate, and fluent extract of a longer retrieved single document (or a set of top retrieved documents). Obtained results show that using word embeddings is an excellent way to achieve higher precision rates and retrieve more accurate documents. Also, obtained summaries satisfy the retention and fidelity criteria of relevant summaries.
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Bergman, Ofer, Tamar Israeli, and Steve Whittaker. "Factors hindering shared files retrieval." Aslib Journal of Information Management 72, no. 1 (December 16, 2019): 130–47. http://dx.doi.org/10.1108/ajim-05-2019-0120.
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Purpose Personal information management (PIM) is an activity in which people store information items in order to retrieve them later. The purpose of this paper is to test and quantify the effect of factors related to collection size, file properties and workload on file retrieval success and efficiency. Design/methodology/approach In the study, 289 participants retrieved 1,557 of their shared files in a naturalistic setting. The study used specially developed software designed to collect shared files’ names and present them as targets for the retrieval task. The dependent variables were retrieval success, retrieval time and misstep/s. Findings Various factors compromise shared files retrieval including: collection size (large number of files), file properties (multiple versions, size of team sharing the file, time since most recent retrieval and folder depth) and workload (daily e-mails sent and received). The authors discuss theoretical reasons for these negative effects and suggest possible ways to overcome them. Originality/value Retrieval is the main reason people manage personal information. It is essential for retrieval to be successful and efficient, as information cannot be used unless it can be re-accessed. Prior PIM research has assumed that factors related to collection size, file properties and workload affect file retrieval. However, this is the first study to systematically quantify the negative effects of these factors. As each of these factors is expected to be exacerbated in the future, this study is a necessary first step toward addressing these problems.
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Li, Zhongjian, Jun Xiang, Lei Wang, Ning Zhang, Ruru Pan, and Weidong Gao. "Yarn-Dyed Fabric Image Retrieval Using Colour Moments and the Perceptual Hash Algorithm." Fibres and Textiles in Eastern Europe 27, no. 5(137) (October 31, 2019): 60–69. http://dx.doi.org/10.5604/01.3001.0013.2900.
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Due to the variety of yarn colours and arrangement, it is a challenging problem to retrieve a yarn-dyed fabric image. In this paper, yarn-dyed fabric samples are captured by the DigiEye system first, and then pattern images of the fabric images captured are simulated by pattern design software based on extracted structure parameters of the yarn-dyed fabric. For the simulated pattern image, an effective algorithm is proposed to retrieve these kinds of images by combining the colour moments method and perceptual hash algorithm. Then the pattern images retrieved are mapped back to the yarn-dyed fabric image so as to realise the yarn-dyed fabric image retrieval. In the algorithm proposed, the colour moments method is adopted to extract the colour features, and the perceptual hash algorithm is utilised to calculate the spatial features of the simulated pattern images. Then the two kinds of image features are used to compute the similarity between the input original image and each target image based on the Euclidean distance and Hamming distance. Relevant images can be retrieved in dependence on the similarity value, which is determined by calculating the optimum weighted value of the colour features’ similarity and spatial features’ similarity. In order to measure the retrieval efficiency of the method proposed, the accuracy rate and retrieval rate of image retrieval were computed in experiments using a PATTERN image database with 300 images. The experimental results show that the average accuracy rate of the method proposed is 85.30% and the retrieval rate - 53.51% when the weighted value of the colour feature similarity is fixed at 0.45 and the spatial feature similarity is 0.55. It is shown that the method presented is effective to retrieve pattern images of yarn-dyed fabric.
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Logan, Caitriona, Niamh O’Connell, John Kavanagh, Niall McEniff, Mark Ryan, Michael Guiney, Orla Seery, James O’Donnell, Kevin Ryan, and Barry White. "Out of Sight, out of Mind? An Audit Which Proposes a Follow-Up and Management Pathway for Inferior Vena Cava Filters." Thrombosis 2016 (March 27, 2016): 1–3. http://dx.doi.org/10.1155/2016/6538456.
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Insertion of an IVC filter can be a safe and effective way to avoid PE in thrombosis patients who cannot be anticoagulated. If temporary filters are not promptly removed they can become difficult to remove, causing avoidable complications and often requiring lifelong warfarin. In this study, two sequential audits of retrieval of temporary IVC filters were conducted before and after the implementation of a coordinated management strategy for IVC filter follow-up. 33 filter placements were examined over a 15-month period (Group A). Following implementation of the strategy a comparable 15-month period in which 33 IVC filters were placed was audited (Group B). Following implementation, failed retrievals dropped from 15% to 9%. The number successfully retrieved did not change at 45%. The number made permanent from the outset following expert discussion increased from 12% to 39%. The number of filters with no attempted retrieval and no consultation about retrieval decreased from 27% to 9% (these patients were lost to follow-up with multiple contact attempts made). In Group B 100% of placed IVC filters were followed up appropriately. The proposed model is an easily implemented plan to avoid patient morbidity caused by temporary IVC filters made unintentionally permanent by loss to follow-up.
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Rajagopal, Prabha, Taoufik Aghris, Fatima-Ezzahra Fettah, and Sri Devi Ravana. "Clustering of Relevant Documents Based on Findability Effort in Information Retrieval." International Journal of Information Retrieval Research 12, no. 1 (January 6, 2023): 1–18. http://dx.doi.org/10.4018/ijirr.315764.
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A user expresses their information need in the form of a query on an information retrieval (IR) system that retrieves a set of articles related to the query. The performance of the retrieval system is measured based on the retrieved content to the query, judged by expert topic assessors who are trained to find this relevant information. However, real users do not always succeed in finding relevant information in the retrieved list due to the amount of time and effort needed. This paper aims 1) to utilize the findability features to determine the amount of effort needed to find information from relevant documents using the machine learning approach and 2) to demonstrate changes in IR systems' performance when the effort is included in the evaluation. This study uses a natural language processing technique and unsupervised clustering approach to group documents by the amount of effort needed. The results show that relevant documents can be clustered using the k-means clustering approach, and the retrieval system performance varies by 23%, on average.
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Bērziša, Solvita. "Project Management Knowledge Retrieval: Project Classification." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 5, 2015): 33. http://dx.doi.org/10.17770/etr2011vol2.968.
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Project management knowledge contains a wide range of information that can be accumulated from theory and practice. This knowledge is not always readily available to project manager and that can leave a significant impact on project management efficiency and success. Therefore, this knowledge is necessary to store in the project management knowledge repository and then to retrieve it when necessary. To find this knowledge it is necessary to define attributes for searching relevant projects and knowledge associated with these projects. The objective of this paper is to develop a set of project classification attributes that can be used to describe project characteristics and use them in similarity definition. The project classification attributes are defined as a part of the architecture of project management knowledge retrieval. They are identified by analyzing several project management methodologies and are validated by classifying twenty two empirical information technology projects.
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Lin, Lin, and Mei-Ling Shyu. "Correlation-Based Ranking for Large-Scale Video Concept Retrieval." International Journal of Multimedia Data Engineering and Management 1, no. 4 (October 2010): 60–74. http://dx.doi.org/10.4018/jmdem.2010100105.
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Motivated by the growing use of multimedia services and the explosion of multimedia collections, efficient retrieval from large-scale multimedia data has become very important in multimedia content analysis and management. In this paper, a novel ranking algorithm is proposed for video retrieval. First, video content is represented by the global and local features and second, multiple correspondence analysis (MCA) is applied to capture the correlation between video content and semantic concepts. Next, video segments are scored by considering the features with high correlations and the transaction weights converted from correlations. Finally, a user interface is implemented in a video retrieval system that allows the user to enter his/her interested concept, searches videos based on the target concept, ranks the retrieved video segments using the proposed ranking algorithm, and then displays the top-ranked video segments to the user. Experimental results on 30 concepts from the TRECVID high-level feature extraction task have demonstrated that the presented video retrieval system assisted by the proposed ranking algorithm is able to retrieve more video segments belonging to the target concepts and to display more relevant results to the users.
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Thomas, Rachel Cafarchio. "Record retrieval." Nursing Management (Springhouse) 45, no. 2 (February 2014): 34–37. http://dx.doi.org/10.1097/01.numa.0000442638.63206.be.
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Peterson, Erica A., Paul R. Yenson, Jacobus C. Kritzinger, Lauren J. Lee, Jay Chi, David M. Liu, and Agnes Y. Y. Lee. "Prospective Study of an Inferior Vena Cava Filter Management Pathway in a Tertiary Care and Trauma Centre." Blood 124, no. 21 (December 6, 2014): 685. http://dx.doi.org/10.1182/blood.v124.21.685.685.
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Abstract Background: In our institution, a retrospective analysis of inferior vena cava (IVC) filter usage demonstrated attempted removal in only 60% of patients. We performed a prospective cohort study to determine if an IVC filter management program (IVCFP) will improve retrieval rates. Methods: Consecutive patients receiving a retrievable IVC filter were approached for study enrollment within 48 hours of placement. Consenting patients received a visible IVC Filter Identification Wristband and pre-printed orders were placed in each patient's chart indicating that the wristband can only be removed by physician order if: 1) the filter has been retrieved; 2) a decision to make the filter permanent has been discussed and agreed upon with the patient; or 3) the patient has been referred to the Thrombosis Clinic for filter follow-up after hospital discharge. Educational pamphlets and Thrombosis Clinic referral information were provided to the patient and care team. All patients were followed up to time of hospital discharge and to the end of the study if the filter was still in situ. Baseline demographics, dates of filter insertion and retrieval, and data on filter indication, documentation of a follow-up plan, reasons for non-retrieval, and all-cause mortality were extracted from electronic and paper medical records using standard forms. The primary outcome was the proportion of patients who underwent attempted filter retrieval. Secondary outcomes included the proportion of patients who had a successful retrieval and documentation of a filter management plan. Results were compared with a historical cohort of 275 patients who had filters placed between Jan 2007 and Dec 2010. Group characteristics were compared using 2-sided t-tests for continuous variables and Chi-squared analysis for categorical variables. Results: Between Nov 2011 and Dec 2013, 92 of 111 eligible patients consented to participate. Mean age was 57.3 years and 67.4% were male. Compared to historical patients, IVCFP patients were more likely to be male (64.7% vs. 54.5%; p=0.03), less likely to have a prior history of venous thromboembolism (7.6% vs. 18.5%; p=0.01) and more likely to have received a filter for an acute VTE with contraindication to anticoagulation (76.1% vs. 72.4%; p=0.03) (see Table). At the end of study in June 2014, total length of follow-up for filter retrieval was 14,823 patient-days (median 48.5; range 4-956). No patient was lost to follow-up. Compared to historical data, the IVCFP significantly improved the proportion of patients with attempted retrieval (73/92 [79.3%] vs. 165/275 [60.0%]; p=0.001), documentation of an IVC filter management plan (91.3% vs. 73.8%; p<0.001) and successful retrieval (72.8% vs. 53.1%; p=0.001). Two patients in the IVCFP cohort and 28 historical controls did not have an attempted retrieval despite no clear reason for the filter to remain in situ permanently (2% vs. 10%; p=0.01). Of the 25 patients discharged with a filter in-situ, 20 were referred to our Thrombosis Clinic and 17 had a retrieval attempt post-discharge. Conclusions: Implementation of an IVCFP – consisting of a patient identification wristband, educational materials and referral for outpatient follow-up – was associated with significant increases in attempted filter retrieval and successful filter retrieval. The IVCFP represents an effective and low cost strategy to improve the follow-up and outcomes of patients receiving retrievable IVC filters. Table Historical Cohort N=275 Prospective Cohort N=92 P value Thrombotic risk factors, n (%) Acute VTE 213 (77.5) 78 (84.8) NS Prior VTE 51 (18.5) 7 (7.6) 0.01 Cancer 97 (35.3) 34 (37.0) NS Trauma 63 (22.9) 22 (23.9) NS Indications for filter insertion, n (%) Contraindication to AC 199 (72.4) 70 (76.1) 0.03 High risk for PE 31 (11.3) 10 (10.9) NS Primary prophylaxis 41 (14.9) 11 (12.0) NS Other 4 (1.5) 1 (1.1) NS Filter removal attempted, n (%) 165 (60.0) 73 (73.9) 0.001 Filter removal successful, n (%) 146 (53.1) 67 (72.8) 0.001 Documentation of a filter management plan, n (%) 203 (73.8) 84 (91.3) <0.001 Reasons for non-retrieval, n (%) Death in hospital/limited life expectancy 41 (14.9) 9 (9.8) NS Filter made permanent 22 (8.0) 4 (4.3) NS Persistent contraindication to AC 10 (3.9) 3 (3.3) NS High risk of PE despite AC 5 (1.8) 1 (1.1) NS Lost to follow-up 4 (1.5) 0 (0.0) NS Unknown 28 (10.2) 2 (2.2) 0.01 VTE, venous thromboembolism; PE, pulmonary embolism, NS, non-significant, AC, anticoagulation. Disclosures No relevant conflicts of interest to declare.
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McClellan, Dianna. "Metadata for Information Management and Retrieval." Library Management 26, no. 8/9 (October 2005): 526–28. http://dx.doi.org/10.1108/01435120510631846.
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Chu, S. "Information Retrieval and Health/Clinical Management." Yearbook of Medical Informatics 11, no. 01 (August 2002): 271–75. http://dx.doi.org/10.1055/s-0038-1638123.
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Kacimi, Mouna, Fabian M. Suchanek, and Aparna Varde. "Databases, information retrieval and knowledge management." ACM SIGMOD Record 42, no. 3 (October 17, 2013): 71–74. http://dx.doi.org/10.1145/2536669.2536685.
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Moreno, P. J., J. M. Van Thong, B. Logan, and G. J. F. Jones. "From multimedia retrieval to knowledge management." Computer 35, no. 3 (March 2002): 58–66. http://dx.doi.org/10.1109/2.993772.
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Mandhani, Pavan, Marty Tittlebaum, Praveen Panchakarla, and Carol Barry. "Information retrieval in solid waste management." Journal of Environmental Science and Health . Part A: Environmental Science and Engineering and Toxicology 29, no. 4 (May 1994): 713–28. http://dx.doi.org/10.1080/10934529409376067.
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Moreno, P. J., J. M. Van Thong, B. Logan, and G. J. F. Jones. "From multimedia retrieval to knowledge management." Computer 35, no. 4 (2002): 58–66. http://dx.doi.org/10.1109/mc.2002.993772.
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Chen, Chao, Tao Meng, and Lin Lin. "A Web-Based Multimedia Retrieval System with MCA-Based Filtering and Subspace-Based Learning Algorithms." International Journal of Multimedia Data Engineering and Management 4, no. 2 (April 2013): 13–45. http://dx.doi.org/10.4018/jmdem.2013040102.
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The popularity of research on intelligent multimedia services and applications is motivated by the high demand of the convenient access and distribution of pervasive multimedia data. Facing with abundant multimedia resources but inefficient and rather old-fashioned keyword-based retrieval approaches, Intelligent Multimedia Systems (IMS) demand on (i) effective filtering algorithms for storage saving, computation reduction, and dynamic media delivery; and (ii) advanced learning methods to accurately identify target concepts, effectively search personalized media content, and enable media-type driven applications. Nowadays, the web based multimedia applications become more and more popular. Therefore, how to utilize the web technology into multimedia data management and retrieval becomes an important research topic. In this paper, the authors developed a web-based intelligent video retrieval system that integrates effective and efficient MCA-based filtering and subspace-based learning to facilitate end users to retrieve their desired semantic concepts. A web-based demo shows the effectiveness of the proposed intelligent multimedia system to provide relevant results of target semantic concepts retrieved from TRECVID video collections.
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Durham, Charis, Kelsey Reely, Wencong Chen, Lucas Wong, and Bryce Betteridge. "Characteristics of Inferior Vena Cava Filter Placement, Management, and Retrieval at a Multi-Center Institution." Blood 134, Supplement_1 (November 13, 2019): 1157. http://dx.doi.org/10.1182/blood-2019-124856.
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Background: Retrievable inferior vena cava filters (IVCF) were developed to address the adverse events associated with permanent IVCF. However, this benefit cannot be fully appreciated if filters are not removed in a timely manner and when appropriate. Although there are clinical scenarios when permanent placement is desired, studies show that these situations are far outweighed by scenarios of medically inappropriate non-retrieval. There is substantial evidence describing adverse events related to IVCF such as filter thrombosis, DVT, fracture, perforation, and migration. Furthermore, evidence supporting the benefit of IVCF to prevent the development or progression of pulmonary embolism remains controversial. Therefore, indications for IVCF placement are not standardized at most centers. Specialty societies, such as radiology and cardiology, have differing recommendations for filter placement. IVCF placement is not uncommon (of 130,643 patients hospitalized at 263 hospitals with acute venous thromboembolism [VTE], 15% had IVCF placed) and retrieval rates of non-permanent filters remain low (18-41%). Methods: This study assesses IVCF indications, removal rate, complications, and practice patterns at a multi-center institution via retrospective chart review. Procedure codes and associated diagnosis codes were used to identify 626 adult patients who had IVCF placed over a span of 5 years by either interventional radiology, vascular surgery, or interventional cardiology. Of note, patients were excluded from analysis if they had a documented death within 60 days of filter placement. Descriptive statistics, chi-squared tests, and Wilcoxon rank-sum tests were used for statistical analysis. All IVCF evaluated were retrievable filters. Results: Most IVCF were placed by interventional radiology (77%) as expected. Retrieval rate was 27%. No significant difference was found in retrieval rates among the procedural specialties. Also, retrieval rate was not significantly different between specialty groups that followed the patient after filter placement, including radiology, vascular surgery, or hematology (p value: 0.5382). Overall, 58% of IVCF were unmanaged after placement and, as expected, this was associated with a higher rate of non-retrieval (p value: 0.0001). There was no significant difference in retrieval rate among inpatient or outpatient procedures (p value: 0.2067). Patients in the retrieval group had a lower Charlson Comorbidity Index score than those in the non-retrieval group (p value: 0.0001). The most common indications for placement were acute VTE with contraindication to anticoagulation (40%) and anticoagulation failure (21%). The most common filter complication was filter thrombus (2%). Primary care providers were the most common ordering provider group that requested filter placement (51% of filter placement requests). Interestingly, patients with Medicare/Medicaid had a lower rate of retrieval than patients with any other coverage, including no coverage (20% versus 35%, p value <0.0001). Recurrent VTE occurred in 44 patients (not including filter thrombus) and 9 of those events occurred after filter removal. 62% of patients received anticoagulation therapy during or after filter placement. Conclusion: Lack of follow-up and filter non-removal continues to remain a problem since the emergence and use of IVCF. Surprisingly, our study didn't show that retrieval rates were different based on inpatient or outpatient status, or by follow-up specialty. We did not expect to find that retrieval rates would be lowest in patients with Medicare/Medicaid, or that the most frequently ordering provider group would be primary care providers (over pulmonologists or hematologists, for example). Even after excluding patient deaths within 60 days of filter placement, we still found retrieval rates to be low. As a retrospective study, we can only show association and there may be unique characteristics of our centers that affect external validity. Also, in some clinical scenarios permanent filter placement may be indicated. Regardless, this analysis challenges assumptions regarding the factors involved with filter placement and persistently low rates of retrieval. It also proposes new targetable areas for collaboration and improvement. Disclosures No relevant conflicts of interest to declare.
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Tong, Chau, Drew Margolin, Rumi Chunara, Jeff Niederdeppe, Teairah Taylor, Natalie Dunbar, and Andy J. King. "Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube." JMIR Medical Informatics 10, no. 8 (August 30, 2022): e37862. http://dx.doi.org/10.2196/37862.
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Background Common methods for extracting content in health communication research typically involve using a set of well-established queries, often names of medical procedures or diseases, that are often technical or rarely used in the public discussion of health topics. Although these methods produce high recall (ie, retrieve highly relevant content), they tend to overlook health messages that feature colloquial language and layperson vocabularies on social media. Given how such messages could contain misinformation or obscure content that circumvents official medical concepts, correctly identifying (and analyzing) them is crucial to the study of user-generated health content on social media platforms. Objective Health communication scholars would benefit from a retrieval process that goes beyond the use of standard terminologies as search queries. Motivated by this, this study aims to put forward a search term identification method to improve the retrieval of user-generated health content on social media. We focused on cancer screening tests as a subject and YouTube as a platform case study. Methods We retrieved YouTube videos using cancer screening procedures (colonoscopy, fecal occult blood test, mammogram, and pap test) as seed queries. We then trained word embedding models using text features from these videos to identify the nearest neighbor terms that are semantically similar to cancer screening tests in colloquial language. Retrieving more YouTube videos from the top neighbor terms, we coded a sample of 150 random videos from each term for relevance. We then used text mining to examine the new content retrieved from these videos and network analysis to inspect the relations between the newly retrieved videos and videos from the seed queries. Results The top terms with semantic similarities to cancer screening tests were identified via word embedding models. Text mining analysis showed that the 5 nearest neighbor terms retrieved content that was novel and contextually diverse, beyond the content retrieved from cancer screening concepts alone. Results from network analysis showed that the newly retrieved videos had at least one total degree of connection (sum of indegree and outdegree) with seed videos according to YouTube relatedness measures. Conclusions We demonstrated a retrieval technique to improve recall and minimize precision loss, which can be extended to various health topics on YouTube, a popular video-sharing social media platform. We discussed how health communication scholars can apply the technique to inspect the performance of the retrieval strategy before investing human coding resources and outlined suggestions on how such a technique can be extended to other health contexts.
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Lamb, Thomas, Alex M. Loudon, and Robert J. Van Slyke. "The Lockheed Space Shuttle Rocket Retrieval Ship." Marine Technology and SNAME News 23, no. 02 (April 1, 1986): 109–22. http://dx.doi.org/10.5957/mt1.1986.23.2.109.
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This paper describes the design and construction of a 200-ft rocket retrieval ship for West Coast space shuttle operations. The ship, MV Independence, is designed to retrieve the reusable solid rocket booster casings from each launch of the space shuttle. Construction design and technical management of the project are outlined and a typical rocket retrieval mission is described. Updated information on builder's trials and mission performance is appended.
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Wang, Dong, Bo-Hui Tang, Zhitao Fu, Liang Huang, Menghua Li, Guokun Chen, and Xuejun Pan. "Estimation of Chlorophyll-A Concentration with Remotely Sensed Data for the Nine Plateau Lakes in Yunnan Province." Remote Sensing 14, no. 19 (October 4, 2022): 4950. http://dx.doi.org/10.3390/rs14194950.
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The quantitative retrieval of the chlorophyll-a concentration is an important remote sensing method that is used to monitor the nutritional status of water bodies. The high spatial resolution of the Sentinel-2 MSI and its subdivision in the red-edge band highlight the characteristics of water chlorophyll-a, which is an important detection tool for assessing water quality parameters in plateau lakes. In this study, the Nine Plateau Lakes in the Yunnan-Kweichow Plateau of China were selected as the study area. Using Sentinel-2 MSI transit images and in situ measured chlorophyll-a concentration as the data source, the chlorophyll-a concentrations of plateau lakes (CCAPLs) were investigated, and the surface temperatures of plateau lakes (STPLs) were retrieved to verify the hypothesis that the lake surface temperature could increase the chlorophyll-a concentration. By comparing feature importance using a random forest (RF), the Sentinel-2 MSI surface reflectance and in situ data were linearly fitted using four retrieval spectral indices with high feature importance, and the accuracy of the estimated concentration of chlorophyll-a was evaluated by monitoring station data in the same period. Then, Landsat-8 TIRS Band 10 data were used to retrieve the STPL with a single-channel temperature retrieval algorithm and to verify the correlation between the STPL and the CCAPL. The results showed that the retrievals of the CCAPL and the STPL were consistent with the actual situation. The root-mean-square error (RMSE) of the fifteenth normalized difference chlorophyll-a index (NDCI15) was 0.0249. When the CCAPL was greater than 0.05 mg/L and the STPL was within 28–34 °C, there was a positive linear correlation between the CCAPL and the STPL. These results will provide support for the remote sensing monitoring of eutrophication in plateau lakes and will contribute to the scientific and effective management of plateau lakes.
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Boulet, Gilles, Emilie Delogu, Sameh Saadi, Wafa Chebbi, Albert Olioso, Bernard Mougenot, Pascal Fanise, Zohra Lili-Chabaane, and Jean-Pierre Lagouarde. "Evapotranspiration and evaporation/transpiration partitioning with dual source energy balance models in agricultural lands." Proceedings of the International Association of Hydrological Sciences 380 (December 18, 2018): 17–22. http://dx.doi.org/10.5194/piahs-380-17-2018.
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Abstract. EvapoTranspiration (ET) is an important component of the water cycle, especially in semi-arid lands. Its quantification is crucial for a sustainable management of scarce water resources. A way to quantify ET is to exploit the available surface temperature data from remote sensing as a signature of the surface energy balance, including the latent heat flux. Remotely sensed energy balance models enable to estimate stress levels and, in turn, the water status of most continental surfaces. The evaporation and transpiration components of ET are also just as important in agricultural water management and ecosystem health monitoring. Single temperatures can be used with dual source energy balance models but rely on specific assumptions on raw levels of plant water stress to get both components out of a single source of information. Additional information from remote sensing data are thus required, either something specifically related to evaporation (such as surface water content) or transpiration (such as PRI or fluorescence). This works evaluates the SPARSE dual source energy balance model ability to compute not only total ET, but also water stress and transpiration/evaporation components. First, the theoretical limits of the ET component retrieval are assessed through a simulation experiment using both retrieval and prescribed modes of SPARSE with the sole surface temperature. A similar work is performed with an additional constraint, the topsoil surface soil moisture level, showing the significant improvement on the retrieval. Then, a flux dataset acquired over rainfed wheat is used to check the robustness of both stress levels and ET retrievals. In particular, retrieval of the evaporation and transpiration components is assessed in both conditions (forcing by the sole temperature or the combination of temperature and soil moisture). In our example, there is no significant difference in the performance of the total ET retrieval, since the evaporation rate retrieved from the sole surface temperature is already fairly close to the one we can reconstruct from observed surface soil moisture time series, but current work is underway to test it over other plots.
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Beurskens, Niek EG, Fleur VY Tjong, and Reinoud E. Knops. "End-of-life Management of Leadless Cardiac Pacemaker Therapy." Arrhythmia & Electrophysiology Review 6, no. 3 (2017): 129. http://dx.doi.org/10.15420/aer.2017:16:1.
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The clinically available leadless pacemakers for patients with a single-chamber pacing indication have shown to be safe and effective. However, the optimal end-of-life strategy of this novel technique is undefined. Suggested strategies comprise of (a) placing an additional leadless device adjacent to the leadless pacemaker, or (b) retrieving the non-functioning leadless pacemaker and subsequently implanting a new device. Although initial studies demonstrate promising results, early experience of acute and mid-term retrieval feasibility and safety remains mixed. We suggest that the approach of leadless pacemaker retrieval is more appealing to limit the amount of non-functioning intracardiac hardware. In addition, potential risks for device–device interference, and unknown long-term complications associated with multiple intracardiac devices are prevented. The potential inability to retrieve chronically implanted leadless pacemakers limits the application of this novel technology. Therefore, long-term prospective analysis is required to define the most optimal end-of-life strategy.
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Bülow, Anna E. "Risk Management as a Strategic Driver for a Large Archive." Collections: A Journal for Museum and Archives Professionals 5, no. 1 (March 2009): 61–71. http://dx.doi.org/10.1177/155019060900500103.
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Archives are faced with fast-paced changes in the world in which they operate. In particular, innovation in digital technology have transformed the way people access and retrieve information. In view of this, The National Archives, UK has formulated a vision which aims to lead information management within government, and find new ways of preserving and making information accessible. In this climate, a preservation risk assessment was carried out in order to inform strategic planning as well as guarantee the survival of records. Results have highlighted the degree of environmental problems within the main site. In addition, it illustrated the amount of damage resulting from current policies and practices associated with storage, retrieval, and substitution copying; it also proved policies already in place to be highly effective. The results of the assessment have led to a number of improvements to the repository environment as well as policies on storage and retrieval.
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Mahmood, Maha, Wijdan Jaber AL-kubaisy, and Belal Al-Khateeb. "Multimedia information retrieval using artificial neural network." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (March 1, 2023): 146. http://dx.doi.org/10.11591/ijai.v12.i1.pp146-154.
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<span lang="EN-US">The importance of the multimedia information retrieval (MIR) is highlighted by the extensive amount of the information on the internet. Image, audio, video, and text are all examples of the characteristics of the raw multimedia data. It is greatly challenging to represent a concept of human perception and how the machine-level language can grasp it (semantic gap of MIR). However, this paper aims to improve the information retrieval model that retrieves data from multimedia. This can be implemented by leveraging the use of variety of algorithms that go through training and testing to extract the model. One of these algorithms extracts text information based on the query language's nature as the vector space model (VSM) and the latent semantic index (LSI) were used. The other technique uses curvelet decomposition and statistic parameters like mean, standard deviation, and signal energy to recover these properties. Additionally, a discrete wavelet transforms (DWT) and signal characteristics-based method is used to retrieve audio signals. Finally, the neural network learning is modeled and trained on a collection of different multimedia images. The learned features have been utilized for presenting a highly sufficient system of multimedia retrieval which operates for a large set of multi-modal datasets. </span>
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Reddy, Tatireddy Subba, Sanjeevaiah K., Sajja Karthik, Mahesh Kumar, and Vivek D. "Content-Based Image Retrieval Using Hybrid Densenet121-Bilstm and Harris Hawks Optimization Algorithm." International Journal of Software Innovation 11, no. 1 (January 1, 2023): 1–15. http://dx.doi.org/10.4018/ijsi.315661.
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In the field of digital data management, content-based image retrieval (CBIR) has become one of the most important research areas, and it is used in many fields. This system searches a database of images to retrieve most visually comparable photos to a query image. It is based on features derived directly from the image data, rather than on keywords or annotations. Currently, deep learning approaches have demonstrated a strong interest in picture recognition, particularly in extracting information about the features of the image. Therefore, a Densenet-121 is employed in this work to extract high-level and deep characteristics from the images. Afterwards, the training images are retrieved from the dataset and compared to the query image using a Bidirectional LSTM (BiLSTM) classifier to obtain the relevant images. The investigations are conducted using a publicly available dataset named Corel, and the f-measure, recall, and precision metrics are used for performance assessment. Investigation outcomes show that the proposed technique outperforms the existing image retrieval techniques.
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Liu, Zhiqiang, Jingkun Feng, Zhihao Yang, and Lei Wang. "Document Retrieval for Precision Medicine Using a Deep Learning Ensemble Method." JMIR Medical Informatics 9, no. 6 (June 29, 2021): e28272. http://dx.doi.org/10.2196/28272.
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Background With the development of biomedicine, the number of biomedical documents has increased rapidly bringing a great challenge for researchers trying to retrieve the information they need. Information retrieval aims to meet this challenge by searching relevant documents from abundant documents based on the given query. However, sometimes the relevance of search results needs to be evaluated from multiple aspects in specific retrieval tasks, thereby increasing the difficulty of biomedical information retrieval. Objective This study aimed to find a more systematic method for retrieving relevant scientific literature for a given patient. Methods In the initial retrieval stage, we supplemented query terms through query expansion strategies and applied query boosting to obtain an initial ranking list of relevant documents. In the re-ranking phase, we employed a text classification model and relevance matching model to evaluate documents from different dimensions and then combined the outputs through logistic regression to re-rank all the documents from the initial ranking list. Results The proposed ensemble method contributed to the improvement of biomedical retrieval performance. Compared with the existing deep learning–based methods, experimental results showed that our method achieved state-of-the-art performance on the data collection provided by the Text Retrieval Conference 2019 Precision Medicine Track. Conclusions In this paper, we proposed a novel ensemble method based on deep learning. As shown in the experiments, the strategies we used in the initial retrieval phase such as query expansion and query boosting are effective. The application of the text classification model and relevance matching model better captured semantic context information and improved retrieval performance.
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Analoui, Mostafa, and Kenneth Buckwalter. "DIGITAL RADIOGRAPHIC IMAGE ARCHIVAL, RETRIEVAL, AND MANAGEMENT." Dental Clinics of North America 44, no. 2 (April 2000): 339–58. http://dx.doi.org/10.1016/s0011-8532(22)01306-4.
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Aduri, R., RE Reddy, and K. Kiran. "Foreign objects in teeth: Retrieval and management." Journal of Indian Society of Pedodontics and Preventive Dentistry 27, no. 3 (2009): 179. http://dx.doi.org/10.4103/0970-4388.57100.
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Liang, Jun Feng, Chun Jin, Lei Zhang, and Xu Ning Liu. "Research of Agricultural Information Management and Retrieval." Advanced Materials Research 989-994 (July 2014): 5630–33. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5630.
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In order to improve the efficiency of agricultural information retrieval and provide the effect methods for the information retrieval of agricultural, the intelligent searching technology of agricultural information based on ontology is proposed. The paper firstly introduces the concept of ontology, analyzes the characters of agricultural knowledge, and constructs the related agricultural knowledge ontology and knowledge base, implementing the intelligent searching of the agricultural information. The results indicate that the research on agricultural ontology can contribute to organization and searching of agricultural scientific knowledge and provide methods for information organization and searching of agricultural knowledge.
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Mehrotra, R., and J. E. Gary. "Similar-shape retrieval in shape data management." Computer 28, no. 9 (1995): 57–62. http://dx.doi.org/10.1109/2.410154.
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Pang, Wei Soon, Jih Huei Tan, Henry Chor Lip Tan, and Jonathan Khee Ghee Tan. "Case series of retained rectal foreign body. A Malaysian experience." Malaysian Family Physician 16, no. 2 (May 31, 2021): 78–82. http://dx.doi.org/10.51866/cr1087.
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Retained rectal foreign body, with its associated social stigma, is a medical condition that is infrequently reported in Malaysia. We report the surgical management of five cases of retained foreign objects in the rectum seen over a one-year period. There were three young and two elderly male patients. One of the elderly patients presented with altered bowel habits and an abdominal mass that mimicked a symptomatic colonic tumor. All patients had an abdominal radiograph which clinched the diagnosis of a retained foreign rectal body. Successfully retrieved objects included two bottles, one bidet device, and two sex toys. Open surgery for retrieval of the impacted rectal foreign body was required in one patient. All underwent successful retrievals without any adverse postoperative complications. In our case series, retained rectal foreign bodies were observed only in the male gender. The age presentation was bimodal, with age groups in the twenties and sixties. The treatment options used for the retrieval of these impacted foreign bodies included transanal extraction or explorative laparotomy. Proximal migration and delayed presentation are possible indications for the latter approach.
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Kogan, S., N. Ash, R. A. Greenes, A. A. Boxwala, and Q. Zeng. "Characteristics of Consumer Terminology for Health Information Retrieval." Methods of Information in Medicine 41, no. 04 (2002): 289–98. http://dx.doi.org/10.1055/s-0038-1634490.
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Summary Objectives: As millions of consumers perform health information retrieval online, the mismatch between their terminology and the terminologies of the information sources could become a major barrier to successful retrievals. To address this problem, we studied the characteristics of consumer terminology for health information retrieval. Methods: Our study focused on consumer queries that were used on a consumer health service Web site and a consumer health information Web site. We analyzed data from the site-usage logs and conducted interviews with patients. Results: Our findings show that consumers’ information retrieval performance is very poor. There are significant mismatches at all levels (lexical, semantic and mental models) between the consumer terminology and both the information source terminology and standard medical vocabularies. Conclusions: Comprehensive terminology support on all levels is needed for consumer health information retrieval.
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Levinson, R., and G. Ellis. "Multilevel hierarchical retrieval." Knowledge-Based Systems 5, no. 3 (September 1992): 233–44. http://dx.doi.org/10.1016/0950-7051(92)90035-e.
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Editorial Submission, Haworth. "Information Retrieval." Collection Management 8, no. 3-4 (November 22, 1986): 231–34. http://dx.doi.org/10.1300/j105v08n03_63.
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Guo, Yu, Ruru Deng, Jiayi Li, Zhenqun Hua, Jing Wang, Ruihao Zhang, Yeheng Liang, and Yuming Tang. "Remote Sensing Retrieval of Total Nitrogen in the Pearl River Delta Based on Landsat8." Water 14, no. 22 (November 16, 2022): 3710. http://dx.doi.org/10.3390/w14223710.
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The Pearl River Delta in South China is subject to severe eutrophication, which is significantly exacerbated by the total nitrogen (TN). Remote sensing technology with large-scale synchronous observations in the Pearl River Delta can effectively monitor organic pollution. Statistical methods based on remote sensing images have been widely used in water quality parameter retrieval for inland rivers, reservoirs, and lakes, but have seldom been applied in the Pearl River Delta. TN is also a non-optically active substance, so it is difficult to retrieve TN through analysis methods. This study retrieves the concentration of total nitrogen (TN) based on Landsat8 images of the Pearl River Delta using a statistical method. The stepwise regression function is built by analyzing the TN concentration and the single-band, two-band, and three-band spectral information groups measured by an ASD FieldSpec3 spectrometer. The retrieval results show that the proposed method performs well with a small mean absolute error (MAE) (0.36 mg/L for TN) and high agreement (R2 = 0.61 for TN) between the in situ data and the retrieval concentration. The results demonstrate that the concentration of TN in the east of the Pearl River Delta was higher than in the west. Dachan Bay and Shenzhen Bay had the highest TN concentrations, which were around 3.02 mg/L and 3.67 mg/L. The 750–850 nm band could be an important reference for further exploring the spectral characteristics and retrieval of TN. The retrieval method in this study is easy to implement and convenient for local TN distribution capture, which can provide a timely reference for daily water quality supervision and management in the Pearl River Delta.
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Chute, C. G., and Y. Yang. "An Overview of Statistical Methods for the Classification and Retrieval of Patient Events." Methods of Information in Medicine 34, no. 01/02 (1995): 104–10. http://dx.doi.org/10.1055/s-0038-1634570.
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Abstract:Statistical methods that can support text retrieval are becoming an increasing focus of medical informatics activities. We overview our adaptation of existing knowlege sources to create pseudo-documents for concept based latent semantic indexing. Experience demonstrated this tack of limited practical value, since retrieval performance was invariably unsatisfactory. We discovered this was due in part to the introduction of a vocabulary gap between the queries and the cases we sought to retrieve. In part to address this problem, and to avail our large body of humanly coded text as a knowledge source, we developed a least squares fit alternative for the computer assisted indexing and retrieval of biomedical texts. This technique demonstrates equivalent or superior retrieval performance when compared to all other textual retrieval techniques. It does not depend upon elaborate knowledge bases, lexicons, or thesauri. It is a promising technique for classifying and retrieving the large volumes of clinical text.
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Abburu, Sunitha, and Nitant Dube. "Ontology Concept-Based Management and Semantic Retrieval of Satellite Data." Journal of Intelligent Systems 26, no. 2 (April 1, 2017): 197–213. http://dx.doi.org/10.1515/jisys-2015-0082.
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AbstractSeveral satellite data receiving and distributing centers across the world support data storage, processing, and retrieval based on satellite, sensor, product, latitude, longitude, date and time, etc. These systems address queries on satellite products that are mostly high-level concepts. A more sophisticated retrieval system that supports ontological concepts, subconcepts, and concept hierarchical queries delivers refined results that broaden the scientific horizon of the application domain. To achieve this, the current research designed and implemented an ontology concept-based satellite data management and retrieval methodology. This enhances the performance of the satellite data retrieval system and supports semantic queries. The performance of the retrieval system depends upon the strategy followed to maintain domain ontologies and satellite data instances. Three ontology-based satellite data management strategies are discussed, and their performance was evaluated by taking real and benchmark metrics. A semantic query set of 25 queries was chosen covering various concepts, subconcepts, and concept hierarchical-related queries that involve various SPARQL query constructs. The test bed is taken from real-time satellite data received from Kalpana-1 of various sizes of triple stores.
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Han, Jiaonan. "Construction of Digital Management Model of Personnel Archives Information Based on the Concept of Industry 4.0." Computational Intelligence and Neuroscience 2022 (June 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/9328566.
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In order to improve the effect of personnel archives information management under the background of Industry 4.0, this paper conducts in-depth research on retrieval technology. Aiming at the shortcomings and deficiencies of the existing sorting methods, this paper introduces the basic principle of information retrieval, the retrieval process, and retrieval model and proposes a relevance ranking algorithm based on the user vector calculation method and the record vector calculation method. The algorithm solves the query structure sorting problem of information retrieval, optimizes the retrieval process, and improves the efficiency of information acquisition. Under the guidance of the concept of Industry 4.0, this paper constructs the digital management model of personnel archives information. The experimental results show that the digital management model of personnel archives proposed in this paper has certain effects.
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Wu, Chao-Chin, Lien-Fu Lai, and Jia-Xian Lai. "Efficient Management of Fragmented Replica in Data Grids." International Journal of Grid and High Performance Computing 4, no. 2 (April 2012): 63–70. http://dx.doi.org/10.4018/jghpc.2012040105.
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Rather than replicating a file completely, Chang et al. proposed a fragmented replication technique to cope with the problem that only partial content of the replica are required in a local application. Furthermore, they also proposed two server selection algorithms for replica retrieval. However, their algorithms do not always find an optimal solution. To address the problem, in this paper, the authors propose a replica selection algorithm to improve the fragmented replica retrieval efficiency in this paper. It is a heuristic considering not only the transmission time but also the number of available servers for each block. Simulation results show that the proposed algorithm can improve the retrieval efficiency up to 12%.
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Zhai, Ortega, Castillejo, and Beltran. "A Triangular Similarity Measure for Case Retrieval in CBR and Its Application to an Agricultural Decision Support System." Sensors 19, no. 21 (October 23, 2019): 4605. http://dx.doi.org/10.3390/s19214605.
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Case-based reasoning has been a widely-used approach to assist humans in making decisions through four steps: retrieve, reuse, revise, and retain. Among these steps, case retrieval plays a significant role because the rest of processes cannot proceed without successfully identifying the most similar past case beforehand. Some popular methods such as angle-based and distance-based similarity measures have been well explored for case retrieval. However, these methods may match inaccurate cases under certain extreme circumstances. Thus, a triangular similarity measure is proposed to identify commonalities between cases, overcoming the drawbacks of angle-based and distance-based measures. For verifying the effectiveness and performance of the proposed measure, case-based reasoning was applied to an agricultural decision support system for pest management and 300 new cases were used for testing purposes. Once a new pest problem is reported, its attributes are compared with historical data by the proposed triangular similarity measure. Farmers can obtain quick decision support on managing pest problems by learning from the retrieved solution of the most similar past case. The experimental result shows that the proposed measure can retrieve the most similar case with an average accuracy of 91.99% and it outperforms the other measures in the aspects of accuracy and robustness.
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Mitra, Bhaskar. "Neural methods for effective, efficient, and exposure-aware information retrieval." ACM SIGIR Forum 55, no. 1 (June 2021): 1–2. http://dx.doi.org/10.1145/3476415.3476434.
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Neural networks with deep architectures have demonstrated significant performance improvements in computer vision, speech recognition, and natural language processing. The challenges in information retrieval (IR), however, are different from these other application areas. A common form of IR involves ranking of documents---or short passages---in response to keyword-based queries. Effective IR systems must deal with query-document vocabulary mismatch problem, by modeling relationships between different query and document terms and how they indicate relevance. Models should also consider lexical matches when the query contains rare terms---such as a person's name or a product model number---not seen during training, and to avoid retrieving semantically related but irrelevant results. In many real-life IR tasks, the retrieval involves extremely large collections---such as the document index of a commercial Web search engine---containing billions of documents. Efficient IR methods should take advantage of specialized IR data structures, such as inverted index, to efficiently retrieve from large collections. Given an information need, the IR system also mediates how much exposure an information artifact receives by deciding whether it should be displayed, and where it should be positioned, among other results. Exposure-aware IR systems may optimize for additional objectives, besides relevance, such as parity of exposure for retrieved items and content publishers. In this thesis, we present novel neural architectures and methods motivated by the specific needs and challenges of IR tasks. We ground our contributions with a detailed survey of the growing body of neural IR literature [Mitra and Craswell, 2018]. Our key contribution towards improving the effectiveness of deep ranking models is developing the Duet principle [Mitra et al., 2017] which emphasizes the importance of incorporating evidence based on both patterns of exact term matches and similarities between learned latent representations of query and document. To efficiently retrieve from large collections, we develop a framework to incorporate query term independence [Mitra et al., 2019] into any arbitrary deep model that enables large-scale precomputation and the use of inverted index for fast retrieval. In the context of stochastic ranking, we further develop optimization strategies for exposure-based objectives [Diaz et al., 2020]. Finally, this dissertation also summarizes our contributions towards benchmarking neural IR models in the presence of large training datasets [Craswell et al., 2019] and explores the application of neural methods to other IR tasks, such as query auto-completion.
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Sen, Procheta. "Proactive information retrieval." ACM SIGIR Forum 55, no. 2 (December 2021): 1–2. http://dx.doi.org/10.1145/3527546.3527576.
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Users interact with digital systems with some underlying tasks in their minds. In our research scope, a task can be either single or multi-staged. A single-staged task is associated with a single information need, whereas a multi-staged one is associated with more than one information needs. An example of a single-staged task is suggesting related papers to an author while they are writing a section of the research papers. An example of a multi-staged task is planning for a vacation, where the different underlying information needs could be 'places to visit', 'booking accommodation' etc. In the process of accomplishing their task objectives, a user often needs to interact with an information retrieval (IR) system to address one or more information needs. For instance, for writing a research paper on a chosen topic, a user needs to look for existing research work related to the topic. Traditional IR systems do not take into account a user's task intent while showing search results to the user. In our work, we propose a methodology towards developing next generation IR systems (i.e. proactive IR systems) which seek to anticipate the task intent of a user from their interactions with digital systems in order to proactively suggest potentially relevant information sources to assist them to complete their tasks. Specifically speaking, in this PhD, we proposed an embedding approach that captures the task semantics from the interactions of a user with a digital system (e.g. laptop, desktop, smartphone etc.). The proposed embedding approach is then applied for the downstream tasks of providing proactive suggestions in both single and multi staged scenarios. For the single-staged task, we propose a simulation setup to simulate a user's reading and writing interactions in a desktop environment. For the multi-staged task, we focus on web search sessions where a user can have multiple information needs corresponding to a search task. We also proposed a reproducible evaluation framework to compare between different proactive suggestion models. Awarded by : Dublin City University, Ireland on 10 August 2021. Supervised by : Gareth Jones. Available at : https://procheta.github.io/sprocheta/Thesis.pdf.
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Belew, Richard K. "Adaptive Information Retrieval." ACM SIGIR Forum 51, no. 2 (August 2, 2017): 106–15. http://dx.doi.org/10.1145/3130348.3130359.
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van Zwol, Roelof, Stefan Rüger, Mark Sanderson, and Yosi Mass. "Multimedia information retrieval." ACM SIGIR Forum 41, no. 2 (December 2007): 77–82. http://dx.doi.org/10.1145/1328964.1328978.
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Doraisamy, Shyamala. "Polyphonic music retrieval." ACM SIGIR Forum 39, no. 1 (June 2005): 58. http://dx.doi.org/10.1145/1067268.1067289.
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Kohler, Joachim, Martha Larson, Franciska de Jong, Wessel Kraaij, and Roeland Ordelman. "Spoken content retrieval." ACM SIGIR Forum 42, no. 2 (November 30, 2008): 66–75. http://dx.doi.org/10.1145/1480506.1480518.
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Hopfgartner, Frank. "Personalised video retrieval." ACM SIGIR Forum 44, no. 2 (January 3, 2011): 84–85. http://dx.doi.org/10.1145/1924475.1924496.
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Kaszkiel, Marcin, and Justin Zobel. "Passage retrieval revisited." ACM SIGIR Forum 31, SI (December 2, 1997): 178–85. http://dx.doi.org/10.1145/278459.258561.
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