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

Haoran XIE*, Qing LI, Xudong MAO

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

15 Citations (Scopus)


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 Proceedings
EditorsQuan Z. SHENG, Guoren WANG, Christian S. JENSEN, Guandong XU
Place of PublicationBerlin
PublisherSpringer Berlin Heidelberg
Number of pages12
ISBN (Electronic)9783642292538
ISBN (Print)9783642292521
Publication statusPublished - 2012
Externally publishedYes
EventThe 14th Asia-Pacific Web Conference - 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


ConferenceThe 14th Asia-Pacific Web Conference
Abbreviated titleAPWeb 2012
Internet address


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