A social trust path recommendation system in contextual online social networks

Guohao Sun, Guanfeng Liu, Lei Zhao, Jiajie Xu, An Liu, Xiaofang Zhou

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

3 Citations (Scopus)

Abstract

Online Social Network (OSN) is becoming increasingly popular and being used as the means for a variety of activities, where trust is one of the most important factors for participants decision making. This demands the evaluation of the trustworthiness between two unknown participants along a certain social path between them in OSNs. This paper presents a social trust path recommendation system which allows a user to find the optimal social trust path between two participants in OSN with the state-of-the-art path selection method. In addition, users could specify their preferences of social contexts including social relationships and social trust between participants and social positions of participants in path selection. This recommendation system provides three types of social trust paths to evaluate the trustworthiness of the unknown participants effectively. i.e., the shortest path, the path with the maximal trust values (denoted as Max T) and the optimal social trust path, which can be used in many applications like to help an employee find potential trustworthy employees or to help a retailer to find trustworthy loyal customers.

Original languageEnglish
Title of host publicationWeb Technologies and Applications
Subtitle of host publication16th Asia-Pacific Web Conference, APWeb 2014, Proceedings
EditorsYan Jia, Timos Sellis, Guanfeng Liu
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Pages652-656
Number of pages5
ISBN (Electronic)9783319111162
ISBN (Print)9783319111155
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event16th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2014 - Changsha, China
Duration: 5 Sep 20147 Sep 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8709
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2014
CountryChina
CityChangsha
Period5/09/147/09/14

Keywords

  • OSN
  • trust
  • social trust path recommendation

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