Добірка наукової літератури з теми "Ad-Hoc Information Retrieval"
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Статті в журналах з теми "Ad-Hoc Information Retrieval":
Ormeño, Pablo, Marcelo Mendoza, and Carlos Valle. "Topic Models Ensembles for AD-HOC Information Retrieval." Information 12, no. 9 (September 1, 2021): 360. http://dx.doi.org/10.3390/info12090360.
Kurland, Oren, and Lillian Lee. "Clusters, language models, and ad hoc information retrieval." ACM Transactions on Information Systems 27, no. 3 (May 2009): 1–39. http://dx.doi.org/10.1145/1508850.1508851.
Ensan, Faezeh, and Feras Al-Obeidat. "Relevance-based entity selection for ad hoc retrieval." Information Processing & Management 56, no. 5 (September 2019): 1645–66. http://dx.doi.org/10.1016/j.ipm.2019.05.005.
Cai, Weihong, Zijun Hu, Yalan Luo, Daoyuan Liang, Yifan Feng, and Jiaxin Chen. "Multi-Layer Contextual Passage Term Embedding for Ad-Hoc Retrieval." Information 13, no. 5 (April 25, 2022): 221. http://dx.doi.org/10.3390/info13050221.
Cai, Weihong, Zijun Hu, Yalan Luo, Daoyuan Liang, Yifan Feng, and Jiaxin Chen. "Multi-Layer Contextual Passage Term Embedding for Ad-Hoc Retrieval." Information 13, no. 5 (April 25, 2022): 221. http://dx.doi.org/10.3390/info13050221.
Zhou, Xiaohua, Xiaohua Hu, and Xiaodan Zhang. "Topic Signature Language Models for Ad hoc Retrieval." IEEE Transactions on Knowledge and Data Engineering 19, no. 9 (September 2007): 1276–87. http://dx.doi.org/10.1109/tkde.2007.1058.
Dang, Edward Kai Fung, Robert Wing Pong Luk, and James Allan. "A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval." ACM Transactions on Information Systems 40, no. 3 (July 31, 2022): 1–37. http://dx.doi.org/10.1145/3483612.
Deveaud, Romain, Eric SanJuan, and Patrice Bellot. "Accurate and effective latent concept modeling for ad hoc information retrieval." Document numérique 17, no. 1 (April 30, 2014): 61–84. http://dx.doi.org/10.3166/dn.17.1.61-84.
Khodabakhsh, Maryam, and Ebrahim Bagheri. "Semantics-enabled query performance prediction for ad hoc table retrieval." Information Processing & Management 58, no. 1 (January 2021): 102399. http://dx.doi.org/10.1016/j.ipm.2020.102399.
Garigliotti, Darío, Faegheh Hasibi, and Krisztian Balog. "Identifying and exploiting target entity type information for ad hoc entity retrieval." Information Retrieval Journal 22, no. 3-4 (December 5, 2018): 285–323. http://dx.doi.org/10.1007/s10791-018-9346-x.
Дисертації з теми "Ad-Hoc Information Retrieval":
Azzopardi, Leif. "Incorporating context within the language modeling approach for ad hoc information retrieval." Thesis, University of the West of Scotland, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427712.
Roos, Daniel. "Evaluation of BERT-like models for small scale ad-hoc information retrieval." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177675.
Goyal, Pawan. "Analytic knowledge discovery techniques for ad-hoc information retrieval and automatic text summarization." Thesis, Ulster University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543897.
Phillips, Robert H. "The effect of denormalized schemas on ad-hoc query formulation: a human factors experiment in database design." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54262.
Ph. D.
Audeh, Bissan. "Reformulation sémantique des requêtes pour la recherche d’information ad hoc sur le Web." Thesis, Saint-Etienne, EMSE, 2014. http://www.theses.fr/2014EMSE0750/document.
As a query expansion and reformulation solution, we are interested in the different ways the semantic could be used to translate users information need into a query. We define two types of concepts : those which we can identify in a semantic resource like an ontology, and the ones we extract from the collection of documents via pseudo relevance feedback procedure. We propose a semantic and mixed approach to query expansion and reformulation (ASMER) that allows to integrate these two types of concepts in an automatically modified query. Our approach considers many challenges, especially selective terms expansion, named entity treatment and query reformulation.Even though the precision is the evaluation criteria the most adapted to a web context, we also considered evaluating the recall to study the behavior of our model from different aspects. This choice led us to handle a different problem related to evaluating the recall in information retrieval. After realizing that actual measures don't satisfy our constraints, we proposed a new recall oriented measure (MOR) which considers the recall as a priority without ignoring the precision.Among other measures, MOR was considered to evaluate our approach ASMER on four web collection from the standard evaluation campaigns Inex and Trec. Our experiments showed that ASMER improves the precision of the non modified original queries. In most cases, our approach achieved statistically significant enhancements when compared to a state of the art query expansion method. In addition, ASMER retrieves the first relevant document in better ranks than the compared approaches, it also has slightly better recall according to the measure MOR
Ayoub, Oussama. "Enrichissement sémantique non supervisé de longs documents spécialisés pour la recherche d’information." Electronic Thesis or Diss., Paris, HESAM, 2023. http://www.theses.fr/2023HESAC039.
Faced with the incessant growth of textual data that needs processing, Information Retrieval (IR) systems are confronted with the urgent need to adopt effective mechanisms for efficiently selecting document sets that are best suited to specific queries. A predominant difficulty lies in the terminological divergence between the terms used in queries and those present in relevant documents. This semantic disparity, particularly pronounced for terms with similar meanings in large-scale documents from specialized domains, poses a significant challenge for IR systems.In addressing these challenges, many studies have been limited to query enrichment via supervised models, an approach that proves inadequate for industrial application and lacks flexibility. This thesis proposes LoGE an innovative alternative with an unsupervised search system based on advanced Deep Learning methods. This system uses a masked language model to extrapolate associated terms, thereby enriching the textual representation of documents. The Deep Learning models used, pre-trained on extensive textual corpora, incorporate general or domain-specific knowledge, thus optimizing the document representation.The analysis of the generated extensions revealed an imbalance between the signal (relevant terms added) and the noise (irrelevant terms). To address this issue, we developed SummVD, an innovative extractive automatic summarization approach, using singular value decomposition to synthesize the information contained in documents and identify the most pertinent phrases. This method has been adapted to filter the terms of the extensions based on the local context of each document, thereby maintaining the relevance of the information while minimizing noise
Cheng, Yuan-Po, and 鄭元博. "Retrieval-Guaranteed Information Brokerage Schemes in 3D Wireless Ad Hoc Networks." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/14644935019115558287.
國立清華大學
資訊工程學系
101
In this dissertation, I address the problem of information brokerage, where information consumers search for the data acquired by information producers. To the best of my knowledge, there exists no retrieval-guaranteed location-aware information brokerage scheme with a bounded data retrieval path length and bounded replication and retrieval message overhead costs available for use in 3D wireless ad hoc networks to date. In this dissertation, I propose a novel location-aware information brokerage scheme, termed LAIB, where the network area is divided into cube grids, and data are replicated and retrieved in the hashed geographic location in each grid designated by the producer and the consumer, respectively. In LAIB, a polylogarithmic number of grids are designated by the producer and by the consumer, and at least one grid, whose distance from the grid of the consumer is smaller than the distance from the grid of the consumer to the grid of the producer, is designated by both the producer and the consumer. Simulations show that, as the network area is divided into a moderate number of grids, LAIB has good performance in term of retrieval latency stretch while ensuring moderate replication memory, replication message, and retrieval message overhead costs.
Lu, Hong. "Optimization Algorithms for Information Retrieval and Transmission in Distributed Ad Hoc Networks." 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-187.
Wu, Chia-Yi, and 吳佳怡. "Retrieval-Guaranteed Location-Aware Information Brokerage Scheme in 3D Wireless Ad Hoc Networks." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/32208728857110953630.
Roegiest, Adam. "Finding Microblog Posts of User Interest." Thesis, 2012. http://hdl.handle.net/10012/6633.
Книги з теми "Ad-Hoc Information Retrieval":
Programme, United Nations Environment, and Global Environmental Monitoring System, eds. Report of an ad hoc working group on GRID systems and software: UNEP, Nairobi, 26-27 July 1990. Nairobi: United Nations Environment Programme, 1990.
Li, Xiang-Yang. Ad-hoc, Mobile, and Wireless Networks: 11th International Conference, ADHOC-NOW 2012, Belgrade, Serbia, July 9-11, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Cichoń, Jacek. Ad-hoc, Mobile, and Wireless Network: 12th International Conference, ADHOC-NOW 2013, Wrocław, Poland, July 8-10, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Frey, Hannes. Ad-hoc, Mobile, and Wireless Networks: 10th International Conference, ADHOC-NOW 2011, Paderborn, Germany, July 18-20, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.
David, Hutchison. Resilient Networks and Services: Second International Conference on Autonomous Infrastructure, Management and Security, AIMS 2008 Bremen, Germany, July 1-3, 2008 Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.
ADHOC-NOW, 2010 (2010 Edmonton Alta ). Ad-hoc, mobile and wireless networks: 9th international conference, ADHOC-NOW 2010, Edmonton, AB, Canada, August 20-22, 2010 : proceedings. Berlin: Springer, 2010.
ADHOC-NOW 2007 (2007 Morelia, Michoacán de Ocampo, Mexico). Ad-hoc, mobile, and wireless networks: 6th international conference, ADHOC-NOW 2007, Morelia, Mexico, September 24-26, 2007 ; proceedings. Berlin: Springer, 2007.
Asian Internet Engineering Conference (3rd 2007 Phuket, Thailand). Sustainable internet: Third Asian Internet Engineering Conference, AINTEC 2007, Phuket, Thailand, November 27-29, 2007 : proceedings. Berlin: Springer, 2007.
Müller-Schloer, C. Architecture of Computing Systems - ARCS 2010: 23rd International Conference, Hannover, Germany, February 22-25, 2010. Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.
International, Conference on Distributed Computing and Internet Technology (6th 2010 Bhubaneswar India). Distributed computing and internet technology: 6th international conference, ICDCIT 2010, Bhubaneswar, India, February 15-17, 2010 : proceedings. Berlin: Springer, 2010.
Частини книг з теми "Ad-Hoc Information Retrieval":
Habibian, AmirHossein, Abolfazl AleAhmad, and Azadeh Shakery. "Ad Hoc Information Retrieval for Persian." In Lecture Notes in Computer Science, 110–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15754-7_13.
Akasereh, Mitra, and Jacques Savoy. "Ad Hoc Retrieval with Marathi Language." In Multilingual Information Access in South Asian Languages, 23–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40087-2_3.
Kwok, Kui-Lam, Laszlo Grunfeld, and Peter Deng. "Improving Weak Ad-Hoc Retrieval by Web Assistance and Data Fusion." In Information Retrieval Technology, 17–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562382_2.
Di Nunzio, Giorgio M., Nicola Ferro, Thomas Mandl, and Carol Peters. "CLEF 2006: Ad Hoc Track Overview." In Evaluation of Multilingual and Multi-modal Information Retrieval, 21–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74999-8_3.
Hirakawa, Koji, Kotaro Kikuchi, Kazuya Ueki, Tetsunori Kobayashi, and Yoshihiko Hayashi. "Ad-hoc Video Search Improved by the Word Sense Filtering of Query Terms." In Information Retrieval Technology, 157–63. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03520-4_15.
Vo, Duc-Thuan, Fattane Zarrinkalam, Ba Pham, Negar Arabzadeh, Sara Salamat, and Ebrahim Bagheri. "Neural Ad-Hoc Retrieval Meets Open Information Extraction." In Lecture Notes in Computer Science, 655–63. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28238-6_57.
Pantziou, Grammati, Aristides Mpitziopoulos, Damianos Gavalas, Charalampos Konstantopoulos, and Basilis Mamalis. "Mobile Sinks for Information Retrieval from Cluster-Based WSN Islands." In Ad-Hoc, Mobile and Wireless Networks, 213–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04383-3_16.
Sun, Qiang, JiaLiang Wu, and Yue Wu. "A Multidimensional Interaction-Focused Model for Ad-Hoc Retrieval." In Neural Information Processing, 265–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04179-3_23.
McNamee, Paul. "JHU/APL Ad Hoc Experiments at CLEF 2006." In Evaluation of Multilingual and Multi-modal Information Retrieval, 157–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74999-8_22.
Tu, Xinhui, Jing Luo, Bo Li, Tingting He, and Jinguang Gu. "Positional Translation Language Model for Ad-Hoc Information Retrieval." In Advances in Knowledge Discovery and Data Mining, 134–45. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06605-9_12.
Тези доповідей конференцій з теми "Ad-Hoc Information Retrieval":
Shen, Xuehua, and ChengXiang Zhai. "Active feedback in ad hoc information retrieval." In the 28th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1076034.1076047.
Ma, Zhengyi, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, and Ji-Rong Wen. "Pre-training for Ad-hoc Retrieval." In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3459637.3482286.
Ye, Zheng, Jimmy Xiangji Huang, and Jun Miao. "A hybrid model for ad-hoc information retrieval." In the 35th international ACM SIGIR conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2348283.2348451.
Bradford, Roger. "Incorporating Ad Hoc Phrases in LSI Queries." In International Conference on Knowledge Discovery and Information Retrieval. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005073300610070.
Kurland, Oren, and Lillian Lee. "Corpus structure, language models, and ad hoc information retrieval." In the 27th annual international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1008992.1009027.
Vuurens, Jeroen B. P., Arjen P. de Vries, Roi Blanco, and Peter Mika. "Online News Tracking for Ad-Hoc Information Needs." In ICTIR '15: ACM SIGIR International Conference on the Theory of Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2808194.2809474.
Li, Chongyang. "Semantic Augmentation Transformer Model for Ad-hoc Retrieval." In 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022. http://dx.doi.org/10.1109/itoec53115.2022.9734522.
Fan, Yixing, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, and Xueqi Cheng. "Modeling Diverse Relevance Patterns in Ad-hoc Retrieval." In SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209978.3209980.
Kato, Makoto P., Hiroaki Ohshima, Ying-Hsang Liu, and Hsin-Liang Chen. "A Test Collection for Ad-hoc Dataset Retrieval." In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3404835.3463261.
Tu, Xinhui, Jing Luo, Bo Li, and Tingting He. "Log-Bilinear Document Language Model for Ad-hoc Information Retrieval." In CIKM '14: 2014 ACM Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2661829.2661919.