On top-k social web search

Peifeng Yin, Wang Chien Lee, Ken C.K. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

To enhance the quality of document search, recent research studies have started to exploit the social networks of users by considering social influence (SI), measurement of the affinity between a query user and the publisher of a retrieved document, in addition to the commonly used textual relevance (TR). We refer to such document search that considers social networks as social web search. In this paper, we focus on efficient top-k social web search and propose two search strategies: (i) TR-based search and (ii) SI-based search that tailor document examination orders upon TR and SI, respectively. We evaluate the proposed strategies through experimentation.

Original languageEnglish (US)
Title of host publicationCIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops
Pages1313-1316
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 - Toronto, ON, Canada
Duration: Oct 26 2010Oct 30 2010

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
CountryCanada
CityToronto, ON
Period10/26/1010/30/10

All Science Journal Classification (ASJC) codes

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

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