A social balance theory-based service recommendation approach

Lianyong Qi*, Xuyun Zhang, Yiping Wen, Yuming Zhou

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

With the popularity of social network, an increasing number of users attempt to find their interested web services through service recommendation, e.g., Collaborative Filtering (i.e., CF)-based service recommendation. Generally, the traditional CF-based service recommendation approaches work, when the target user owns one or more similar neighbors or friends (Neighbor and friend are interchangeable in the rest of paper) (i.e., user-based CF), or the target user's invoked services own similar services (i.e., item-based CF). However, in certain situations, similar neighbors and similar services are absent from the user-service invocation network, which brings a great challenge for accurate service recommendation. In view of this challenge, a novel recommendation approach SBT-SR (Social Balance Theory-based Service Recommendation) is put forward in this paper. Concretely, for the target user, we first determine his/her "enemies" (antonym of "friend", i.e., the users who have opposite preference with target user), and then look for the "potential friends" of target user, based on the "enemy's enemy is friend" rule in Social Balance Theory. Afterwards, the services preferred by "potential friends" are recommended to the target user. Finally, through a case study and a set of experiments, we demonstrate the feasibility of our proposal.

Original languageEnglish
Title of host publicationAdvances in Services Computing
Subtitle of host publication9th Asia-Pacific Services Computing Conference, APSCC 2015. Proceedings
EditorsLina Yao, Xia Xie, Qingchen Zhang, Laurence T. Yang, Albert Y. Zomaya, Hai Jin
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Pages48-60
Number of pages13
ISBN (Electronic)9783319269795
ISBN (Print)9783319269788
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event9th Asia-Pacific Services Computing Conference (APSCC) - Bangkok, Thailand
Duration: 7 Dec 20159 Dec 2015

Publication series

NameLecture Notes in Computer Science
PublisherSPRINGER INTERNATIONAL PUBLISHING AG
Volume9464
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Asia-Pacific Services Computing Conference (APSCC)
CountryThailand
CityBangkok
Period7/12/159/12/15

Keywords

  • Service recommendation
  • Target user
  • Similar neighbor
  • Similar service
  • Dissimilar enemy
  • Social balance theory

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