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Статті в журналах з теми "Ubiquitous User Query Model"
Akram, Atia, Asma Ahmad Farhan, and Amna Basharat. "Less is more: Efficient behavioral context recognition using Dissimilarity-Based Query Strategy." PLOS ONE 18, no. 6 (June 7, 2023): e0286919. http://dx.doi.org/10.1371/journal.pone.0286919.
Повний текст джерелаKritsi, Eftichia, Minos-Timotheos Matsoukas, Constantinos Potamitis, Anastasia Detsi, Marija Ivanov, Marina Sokovic, and Panagiotis Zoumpoulakis. "Novel Hit Compounds as Putative Antifungals: The Case of Aspergillus fumigatus." Molecules 24, no. 21 (October 25, 2019): 3853. http://dx.doi.org/10.3390/molecules24213853.
Повний текст джерелаEt. al., Niraja Jain,. "Data Membership Identification using Bloom Filter in Cloud Storage for Effective Resource Allocation." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (March 21, 2021): 102–8. http://dx.doi.org/10.17762/itii.v9i2.308.
Повний текст джерелаZhang, Bo, Xiaoxuan Qi, and Xiaowei Han. "An Advanced User Intent Model Based On User Learning Process." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 09 (December 13, 2019): 2050024. http://dx.doi.org/10.1142/s021800142050024x.
Повний текст джерелаYu, Yang Xin. "Personalization Information Retrieval Based on Unigram Language Model." Applied Mechanics and Materials 321-324 (June 2013): 2269–73. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2269.
Повний текст джерелаBhalerao, R. S., Dhananjay Kumbhakarna, Ashvini Avhad, Kirti Shinde, and Dipalee Tidke. "Design Enrichment of Query Forms for Database Query." Asian Journal of Computer Science and Technology 5, no. 1 (May 5, 2016): 30–35. http://dx.doi.org/10.51983/ajcst-2016.5.1.1761.
Повний текст джерелаChen, Wanyu, Zepeng Hao, Taihua Shao, and Honghui Chen. "Personalized query suggestion based on user behavior." International Journal of Modern Physics C 29, no. 04 (April 2018): 1850036. http://dx.doi.org/10.1142/s0129183118500365.
Повний текст джерелаZhou, Yinglian, and Jifeng Chen. "Time Series Geographic Social Network Dynamic Preference Group Query." International Journal of Information Systems in the Service Sector 13, no. 4 (October 2021): 18–39. http://dx.doi.org/10.4018/ijisss.2021100102.
Повний текст джерелаRiezler, Stefan, and Yi Liu. "Query Rewriting Using Monolingual Statistical Machine Translation." Computational Linguistics 36, no. 3 (September 2010): 569–82. http://dx.doi.org/10.1162/coli_a_00010.
Повний текст джерелаGou, Zhinan, and Yan Li. "A method of query expansion based on topic models and user profile for search in folksonomy." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 1701–11. http://dx.doi.org/10.3233/jifs-210508.
Повний текст джерелаДисертації з теми "Ubiquitous User Query Model"
Moran, Stuart. "User perceptions of system attributes in ubiquitous monitoring : toward a model of behavioural intention." Thesis, University of Reading, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541983.
Повний текст джерелаGil, Pascual Miriam. "Adapting Interaction Obtrusiveness: Making Ubiquitous Interactions Less Obnoxious. A Model Driven Engineering approach." Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/31660.
Повний текст джерелаIn Ubiquitous Computing environments, people are surrounded by a lot of embedded services. Since ubiquitous devices, such as mobile phones, have become a key part of our everyday life, they enable users to be always connected to the environment and interact with it. However, unlike traditional desktop interactions where users are used to request for information or input data, ubiquitous interactions have to face with variable user¿s environment, making demands on one of the most valuable resources of users: human attention. A challenge in the Ubiquitous Computing paradigm is regulating the request for user¿s attention. That is, service interactions should behave in a considerate manner by taking into account the degree in which each service intrudes the user¿s mind (i.e., the obtrusiveness degree). In order to prevent service behavior from becoming overwhelming, this work, based on Model Driven Engineering foundations and the Considerate Computing principles, is devoted to design and develop services that adapt their interactions according to user¿s attention. The main goal of the present thesis is to introduce considerate adaptation capabilities in ubiquitous services to provide non-disturbing interactions. We achieve this by means of a systematic method that covers from the services¿ design to their implementation and later adaptation of interaction at runtime
Gil Pascual, M. (2013). Adapting Interaction Obtrusiveness: Making Ubiquitous Interactions Less Obnoxious. A Model Driven Engineering approach [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/31660
TESIS
Limam, Lyes. "Usage-driven unified model for user profile and data source profile extraction." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0058/document.
Повний текст джерелаThis thesis addresses a problem related to usage analysis in information retrieval systems. Indeed, we exploit the history of search queries as support of analysis to extract a profile model. The objective is to characterize the user and the data source that interact in a system to allow different types of comparison (user-to-user, source-to-source, user-to-source). According to the study we conducted on the work done on profile model, we concluded that the large majority of the contributions are strongly related to the applications within they are proposed. As a result, the proposed profile models are not reusable and suffer from several weaknesses. For instance, these models do not consider the data source, they lack of semantic mechanisms and they do not deal with scalability (in terms of complexity). Therefore, we propose a generic model of user and data source profiles. The characteristics of this model are the following. First, it is generic, being able to represent both the user and the data source. Second, it enables to construct the profiles in an implicit way based on histories of search queries. Third, it defines the profile as a set of topics of interest, each topic corresponding to a semantic cluster of keywords extracted by a specific clustering algorithm. Finally, the profile is represented according to the vector space model. The model is composed of several components organized in the form of a framework, in which we assessed the complexity of each component. The main components of the framework are: - a method for keyword queries disambiguation; - a method for semantically representing search query logs in the form of a taxonomy; - a clustering algorithm that allows fast and efficient identification of topics of interest as semantic clusters of keywords; - a method to identify user and data source profiles according to the generic model. This framework enables in particular to perform various tasks related to usage-based structuration of a distributed environment. As an example of application, the framework is used to the discovery of user communities, and the categorization of data sources. To validate the proposed framework, we conduct a series of experiments on real logs from the search engine AOL search, which demonstrate the efficiency of the disambiguation method in short queries, and show the relation between the quality based clustering and the structure based clustering
Peker, Serhat. "A Novel User Activity Prediction Model For Context Aware Computing Systems." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613662/index.pdf.
Повний текст джерелаhence, they are aware of the users'
context and use that information to deliver personalized recommendations about everyday tasks. In this manner, predicting user&rsquo
s next activity preferences with high accuracy improves the personalized service quality of context aware recommender systems and naturally provides user satisfaction. Predicting activities of people is useful and the studies on this issue in ubiquitous environment are considerably insufficient. Thus, this thesis proposes an activity prediction model to forecast a user&rsquo
s next activity preference using past preferences of the user in certain contexts and current contexts of user in ubiquitous environment. The proposed model presents a new approach for activity prediction by taking advantage of ontology. A prototype application is implemented to demonstrate the applicability of this proposed model and the obtained outputs of a sample case on this application revealed that the proposed model can reasonably predict the next activities of the users.
Lewandowski, J. "Mobile application of artificial intelligence to vital signs monitoring : multi parametric, user adaptable model for ubiquitous well-being monitoring." Thesis, Coventry University, 2014. http://curve.coventry.ac.uk/open/items/fc80e93c-1a7e-419d-84c7-eaed12d4a953/1.
Повний текст джерелаTian, Hao. "A methodology for domain-specific conceptual data modeling and querying." restricted, 2007. http://etd.gsu.edu/theses/available/etd-02272007-140033/.
Повний текст джерелаRajshekhar Sunderraman, committee chair; Paul S. Katz, Yanqing Zhang, Ying Zhu, committee members. Electronic text (128 p. : ill.) : digital, PDF file. Description based on contents viewed Oct. 15, 2007; title from file title page. Includes bibliographical references (p. 124-128).
Scarlato, Michele. "Sicurezza di rete, analisi del traffico e monitoraggio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3223/.
Повний текст джерелаGochhayat, Sarada Prasad. "Designing Solutions to Some of the Issues in Ubiquitous Networks." Thesis, 2016. https://etd.iisc.ac.in/handle/2005/4354.
Повний текст джерелаMadeira, Rui Miguel Neves Gonçalves. "Model-driven Personalisation of Human-Computer Interaction across Ubiquitous Computing Applications." Doctoral thesis, 2017. http://hdl.handle.net/10362/30072.
Повний текст джерелаBlumendorf, Marco [Verfasser]. "Multimodal interaction in smart environments : a model-based runtime system for ubiquitous user interfaces / vorgelegt von Marco Blumendorf." 2009. http://d-nb.info/997036575/34.
Повний текст джерелаКниги з теми "Ubiquitous User Query Model"
McMullen, Bronagh. E-Com: The design of a personal communication assistant based on the ubiquitous computing model, which allows the user portability and connectivity. [S.l.]: [The author], 1996.
Знайти повний текст джерелаMukhtarov, Farhad, and Katherine A. Daniell. Transfer, Diffusion, Adaptation, and Translation of Water Policy Models. Edited by Ken Conca and Erika Weinthal. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199335084.013.30.
Повний текст джерелаЧастини книг з теми "Ubiquitous User Query Model"
Behrenbruch, Kay, Matthias Söllner, Michaela Schuldt, and Ludger Schmidt. "User Model." In Socio-technical Design of Ubiquitous Computing Systems, 59–70. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05044-7_4.
Повний текст джерелаCena, Federica, and Roberto Furnari. "A Model for Feature-Based User Model Interoperability on the Web." In Advances in Ubiquitous User Modelling, 37–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05039-8_3.
Повний текст джерелаYigitbas, Enes, Silas Grün, Stefan Sauer, and Gregor Engels. "Model-Driven Context Management for Self-adaptive User Interfaces." In Ubiquitous Computing and Ambient Intelligence, 624–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67585-5_61.
Повний текст джерелаYang, Jie, Lei Shu, Xiaoling Wu, Jinsung Cho, Sungyoung Lee, and Sangman Han. "ETRI-QM: Reward Oriented Query Model for Wireless Sensor Networks." In Embedded and Ubiquitous Computing – EUC 2005, 597–608. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596356_60.
Повний текст джерелаAfzal, Muhammad, Maqbool Hussain, Taqdir Ali, Wajahat Ali Khan, Sungyoung Lee, and Byeong Ho Kang. "MLM-Based Automated Query Generation for CDSS Evidence Support." In Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services, 296–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13102-3_49.
Повний текст джерелаMiñón, Raúl, Julio Abascal, Amaia Aizpurua, Idoia Cearreta, Borja Gamecho, and Nestor Garay. "Model-Based Accessible User Interface Generation in Ubiquitous Environments." In Human-Computer Interaction – INTERACT 2011, 572–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23768-3_85.
Повний текст джерелаMartínez-Villaseñor, Ma Lourdes, Luis Miralles-Pechuan, and Miguel González-Mendoza. "Interoperability in Electronic Health Records Through the Mediation of Ubiquitous User Model." In Ubiquitous Computing and Ambient Intelligence, 191–200. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48746-5_19.
Повний текст джерелаJin, Fusheng, Zhendong Niu, Quanxin Zhang, Haiyang Lang, and Kai Qin. "A User Reputation Model for DLDE Learning 2.0 Community." In Digital Libraries: Universal and Ubiquitous Access to Information, 61–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89533-6_7.
Повний текст джерелаBang, Green, and Ilju Ko. "A User Empirical Context Model for a Smart Home Simulator." In Advances in Computer Science and Ubiquitous Computing, 555–60. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_85.
Повний текст джерелаMartínez Casas, David, Sebastián Villarroya Fernández, Moisés Vilar Vidal, José Manuel Cotos Yáñez, José Ramón Ríos Viqueira, and José Angel Taboada González. "Common Data Model in AmI Environments." In Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services, 212–15. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13102-3_35.
Повний текст джерелаТези доповідей конференцій з теми "Ubiquitous User Query Model"
Kharitonov, Eugene, Craig Macdonald, Pavel Serdyukov, and Iadh Ounis. "User model-based metrics for offline query suggestion evaluation." In SIGIR '13: The 36th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2484028.2484041.
Повний текст джерелаWang, Xiaochun, and Yuanchun Shi. "UMDD: User Model Driven Software Development." In 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC). IEEE, 2008. http://dx.doi.org/10.1109/euc.2008.59.
Повний текст джерелаSanghoon Lee and Saeid Belkasim. "Poster: User-centered query expansion model for health disparities research." In 2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2013. http://dx.doi.org/10.1109/iccabs.2013.6629211.
Повний текст джерелаAhn, Jae-wook, and Peter Brusilovsky. "From User Query to User Model and Back: Adaptive Relevance-Based Visualization for Information Foraging." In IEEE/WIC/ACM International Conference on Web Intelligence (WI'07). IEEE, 2007. http://dx.doi.org/10.1109/wi.2007.80.
Повний текст джерелаAhn, Jae-wook, and Peter Brusilovsky. "From User Query to User Model and Back: Adaptive Relevance-Based Visualization for Information Foraging." In IEEE/WIC/ACM International Conference on Web Intelligence (WI'07). IEEE, 2007. http://dx.doi.org/10.1109/wi.2007.4427177.
Повний текст джерелаZhang, Yong, ShenSheng Zhang, SongQiao Han, and HongXia Tong. "User-Centric Service Provision Model for Adaptive Ubiquitous Computing Applications." In 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icsmc.2006.384473.
Повний текст джерелаPark, Bokyoung, HyeonGyu Min, Green Bang, and Ilju Ko. "The User Activity Reasoning Model Based on Context-Awareness in a Virtual Living Space." In Ubiquitous Science and Engineering 2015. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/ijdta.2015.86.13.
Повний текст джерелаPark, Bokyoung, HyeonGyu Min, Green Bang, and Ilju Ko. "The User Activity Reasoning Model Based on Context-Awareness in a Virtual Living Space." In Ubiquitous Science and Engineering 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.86.13.
Повний текст джерелаWei, Cuncun, Chongben Huang, and Hengsong Tan. "A Personalized Model for Ontology-driven User Profiles Mining." In 2009 International Symposium on Intelligent Ubiquitous Computing and Education, IUCE. IEEE, 2009. http://dx.doi.org/10.1109/iuce.2009.128.
Повний текст джерелаZuo, Yayao, Zhengwei Liu, Yang Zhou, Minghao Zhan, and Peilin Zhan. "Query-Specific Temporal Knowledge Graph Representation Learning Model." In 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta). IEEE, 2022. http://dx.doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00190.
Повний текст джерела