Personalized search by tag-based user profile and resource profile in collaborative tagging systems

Yi Cai, Qing Li

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

74 Citations (Scopus)

Abstract

With the increase of resource-sharing web sites such as YouTube1 and Flickr2, personalized search becomes more important and challenging, as users demand higher retrieval quality. To achieve this goal, personalized search needs to take users' personalized profiles and information needs into consideration. Collaborative tagging (also known as folksonomy [11]) systems allow users to annotate resources with their own tags, which provide a simple but powerful way for organizing, retrieving and sharing different types of social resources. In this paper, we examine the limitations of previous tag-based personalized search. To handle these limitations, we propose a new method to model user profiles and resource profiles in a collaborative tagging environment. A novel search method using such users' and resources' profiles is proposed to facilitate the desired personalization in resource search. We implement a prototype system named as FMRS. Experiments using FMRS data set and MovieLens data set show that our proposed method outperforms baseline methods.

Original languageEnglish
Title of host publicationCIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops
Pages969-978
Number of pages10
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 - Toronto, ON, Canada
Duration: 26 Oct 201030 Oct 2010

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
Country/TerritoryCanada
CityToronto, ON
Period26/10/1030/10/10

Keywords

  • Collaborative tagging
  • Personalized search
  • User profiling

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Cite this