Context-aware personalized search based on user and resource profiles in folksonomies

Haoran Xie, Qing Li, Xudong Mao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

15 Citations (Scopus)

Abstract

The explosion of collaborative tagging data nowadays prompts an urgent demand upon Web 2.0 communities in assisting users to search interested resources quickly and effectively. Such a requirement entails much research on utilization of tag-based user and resource profiles so as to provide a personalized search in folksonomies. However, one major shortage for existing methods is their uniform treatment of user profile in the same way for each query, hence the search context for each query is ignored. In this paper, we focus on addressing this problem by modeling the search context. To capture and understand user intention, a nested context model is proposed. Furthermore, we conduct the experimental evaluation upon a real life data set, and the experimental result demonstrates that our approach is more effective than baselines.

Original languageEnglish
Title of host publicationWeb Technologies and Applications - 14th Asia-Pacific Web Conference, APWeb 2012, Proceedings
Pages97-108
Number of pages12
DOIs
Publication statusPublished - 18 Apr 2012
Externally publishedYes
Event14th Asia Pacific Web Technology Conference, APWeb 2012 - Kunming, China
Duration: 11 Apr 201213 Apr 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7235 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th Asia Pacific Web Technology Conference, APWeb 2012
Country/TerritoryChina
CityKunming
Period11/04/1213/04/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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