A calculation method for social network user credibility

Fang Zhou, Jianlin Jin, Xiaojiang Du, Bowen Zhang, Xucheng Yin

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

10 Scopus citations

Abstract

Trust plays an important role in helping social network user make appropriate decision from abundant social information about products. A variety of social review information (e.g. ratings, voting and tags) emerge with the huge number of products on the Web. How they are utilized for searching and finding appropriate item is investigated. In this paper we propose a user credibility calculation method, which calculates user's credibility through his previous review information. By evaluating facets of every review, an integrated numerical value which denotes the reviewer's credibility can be calculated. This value can be used to rank products, further to help user making appropriate decision. Experiments on social book search database show that this calculation method improves effectively accuracy of recommended items.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
ISBN (Electronic)9781467389990
DOIs
StatePublished - 28 Jul 2017
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 21 May 201725 May 2017

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference2017 IEEE International Conference on Communications, ICC 2017
Country/TerritoryFrance
CityParis
Period21/05/1725/05/17

Keywords

  • social book search
  • trust recommendation
  • user credibility

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