Construction of semantic user profile for personalized web search

Mohammed Nazim Uddin, Trong Hai Duong, Visal Sean, Geun Sik Jo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

User profile is an essential component for accessing the personalized information from the Web. Efficiency of personalized accessed information highly depends on how to model the user details to construct user profile. Previously, user profile was constructed by collecting list of keywords to inferring user interests. These kinds of approaches are not sufficient for many applications. In this paper, we have proposed a new method for constructing semantic user profile for personalized information access. User's query is extended using ontological profile for generation of personalized search context. Experimental results show that our method of constructing semantic profile is effective for searching information with individual needs.

Original languageEnglish
Title of host publicationComputational Collective Intelligence
Subtitle of host publicationTechnologies and Applications - 4th International Conference, ICCCI 2012, Proceedings
Pages99-108
Number of pages10
EditionPART 2
DOIs
StatePublished - 2012
Event4th International Conference on Computational Collective Intelligence, ICCCI 2012 - Ho Chi Minh City, Viet Nam
Duration: 28 Nov 201230 Nov 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7654 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Computational Collective Intelligence, ICCCI 2012
Country/TerritoryViet Nam
CityHo Chi Minh City
Period28/11/1230/11/12

Keywords

  • Ontology
  • Personalization
  • Semantic search
  • User profile

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