CNS: NSDL Service to Support Personalized & Community-Oriented Navigation Introduction Community Navigation Service Task-based Recommendations Semantic Analysis

CNS: NSDL Service to Support Personalized & Community-Oriented Navigation Introduction Community Navigation Service Task-based Recommendations Semantic Analysis www.phwiki.com

CNS: NSDL Service to Support Personalized & Community-Oriented Navigation Introduction Community Navigation Service Task-based Recommendations Semantic Analysis

Feibus, Mike, Founder has reference to this Academic Journal, PHwiki organized this Journal CNS: NSDL Service to Support Personalized & Community-Oriented NavigationIntroductionTo be useful, a Digital Library must provide its patrons with easy access to materials that are relevant to their needs.To accomplish this end, this research study is developing a Community Navigation Service (CNS) based on data collected by an Interest Profile Manager (IPM) while continuing to personalize resource presentation by way of the IPM to preserve privacy.Tools are being developed under this research study to help users to retrieve data that is pertinent to interest of the specific user. Figure 2. Web Service Architecture Community Navigation ServiceTask-based RecommendationsL in addition to auer, T.K., P.W. Foltz, in addition to D. Laham, An introduction to latent semantic analysis. Discourse Processes, 1998. 25(2): p. 259 – 284Badi, R., et al., Recognizing user interest in addition to document value from reading in addition to organizing activities in document triage, in Proceedings of the 11th international conference on Intelligent user interfaces. 2006, ACM: Sydney, Australia. p. 218-225Netflix. Netflix Prize. 2009; Available from: http://www.netflixprize.com/Semantic AnalysisDiscussionWe address the issue of recommender systems by making use of user provided belief weighted interests ratings in addition to document term vectors to come up with task-based recommendation based on semantic analysis. ReferencesSampath Jayarathna, Frank ShipmanAcknowledgement: This research is supported by NSF grant 0938074 to Frank ShipmanDepartment of Computer Science, Texas A&M University – College StationMotivationCNS is a web service based recommender system that works upon local interests profiles populated over community of recommenders. Each of the local interests profiles can be easily transported to the CNS via XML file transfer service. The innovative feature of the research is that it uses an IPM combined with the collaborative filtering in addition to semantic analysis provided by a CNS to infer the value of a resource to the userFigure 1. Interest Profile Manager in addition to Document Triage task Figure 3. Task-based Recommender System – Overview

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