Recommending social network applications via social filtering mechanisms

Yung-Ming Li*, Han Wen Hsiao, Yi Lin Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Social applications have been growing in popularity in recent years. In order to recommend suitable and attractive social applications, an efficient recommendation system, considering the popularity and reputation of an application as well as the preferences and social relationships of a user, is proposed. By using Facebook as a test platform, the experiment shows that our model outperforms other methodologies and indicates that social relationships play a more important role than the preferences of a user and the popularity of an application.

Original languageEnglish
Pages (from-to)18-30
Number of pages13
JournalInformation sciences
Volume239
DOIs
StatePublished - 1 Aug 2013

Keywords

  • Analytic hierarchy process
  • Artificial neural network
  • Recommendation system
  • Social application
  • Social network

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