A survey on the relationship between trust and interest similarity in online social networks

Research output: Contribution to conferenceConference paper

16 Citations (Scopus)

Abstract

A remarkable growth in quantity and popularity of online social networks has been observed in recent years. There is a good number of online social networks exists which have over 100 million registered users. Many of these popular social networks offer automated recommendations to their users. This automated recommendations are normally generated using collaborative filtering systems based on the past ratings or opinions of the similar users. Alternatively, trust among the users in the network also can be used to find the neighbors while making recommendations. To obtain the optimum result, there must be a positive correlation exists between trust and interest similarity. Though the positive relations between trust and interest similarity are assumed and adopted by many researchers; no survey work on real life people's opinion to support this hypothesis is found. In this paper, we have reviewed the state-of-the-art research work on trust in online social networks and have presented the result of the survey on the relationship between trust and interest similarity. Our result supports the assumed hypothesis of positive relationship between the trust and interest similarity of the users.
Original languageEnglish
Pages291-299
Number of pages9
DOIs
Publication statusPublished - 1 Nov 2010
Externally publishedYes
EventJournal of Emerging Technologies in Web Intelligence -
Duration: 1 Nov 2010 → …

Conference

ConferenceJournal of Emerging Technologies in Web Intelligence
Period1/11/10 → …

Keywords

  • Interest
  • Opinion
  • Recommender system
  • Similarity
  • Survey
  • Trust

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