User preference retrieval using semantic categorization for web search

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dc.contributor.authorBounoy, Teerakorn
dc.contributor.authorWalairacht, Aranya
dc.date.accessioned2026-08-06T10:00:16Z
dc.date.available2026-08-06T10:00:16Z
dc.date.issued2010-05-24
dc.description.abstractSearch engines have been one of the most popular ways for people to find web pages of interest. Presently, when a user enters a keyword in a search engine, the search results are usually presented the same result to other users who search the same keyword, which might not be related to each user's field of interest. Therefore, the researcher of this study would like to propose a new searching technique to get each user's most relevant information by using a user preference. This research will categorize user preference to build the user profile and general profile base on user's search history and category hierarchy, respectively. The search engines then use those profiles to determine the interests of each user, execute the search query to obtain a set of relevant documents, and reranking the documents in a manner that best reflects their relevance to the user's profile. Many algorithms have been designed, analyzed, implemented and experimented to find the most appropriate and the most effective one to create the relationship between each keyword and each category to best meet each user's preference.
dc.identifier.citationInternational Conference on Advanced Communication Technology Icact, 2, 1133-1138, 2010
dc.identifier.issn17389445
dc.identifier.other2-s2.0-77952467347
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/3052
dc.sourceInternational Conference on Advanced Communication Technology Icact
dc.subjectCategorization
dc.subjectClickthrough data
dc.subjectPersonalization
dc.subjectUser preferences
dc.subjectWeb search
dc.titleUser preference retrieval using semantic categorization for web search
dc.typeConference Paper

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