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User modeling for personalized web search with self-organizing map

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User modeling for personalized web search with self-organizing map

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dc.contributor.author Chen, Ding
dc.contributor.author Patra, Jagdish Chandra
dc.date.accessioned 2011-09-21T09:22:36Z
dc.date.available 2011-09-21T09:22:36Z
dc.date.copyright 2007
dc.date.issued 2011-09-21
dc.identifier.citation Chen, D., & Patra, J. C. (2007). User modeling for personalized Web search with self-organizing map. Journal of the American Society for Information Science and Technology, 58(4), 494-507.
dc.identifier.issn 1532-2882
dc.identifier.uri http://hdl.handle.net/10220/7100
dc.description.abstract The widely used Web search engines index and recommend individual Web pages in response to a few keywords queries to assist users in locating relevant documents. However, the Web search engines give different users the same answer set, although the users may have different preferences. A personalized Web search would carry out the search for each user according to his or her preferences. To conduct the personalized Web search, the authors provide a novel approach to model the user profile with a self-organizing map (SOM). Their results indicate that SOM is capable of helping the user to find the related category for each query used in the Web search to make a personalized Web search effective.
dc.format.extent 14 p.
dc.language.iso en
dc.relation.ispartofseries Journal of the American Society for Information Science and Technology (JASIST)
dc.rights © 2007 Wiley Periodicals, Inc.
dc.subject DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval.
dc.title User modeling for personalized web search with self-organizing map
dc.type Journal Article
dc.contributor.school School of Computer Engineering
dc.identifier.doi http://dx.doi.org/10.1002/asi.20497
dc.identifier.rims 123060

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