Trust-Aware Recommendation for E-Commerce Associated with Social Networks

Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Qun Jin

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

Abstract

In recent years, recommender systems are widely applied in e-commerce system to help users locating their interested information. However, the 'all good reputation' problem brings down the accuracy of recommender systems. In addition, users' social network can benefit the recommendation especially when dealing with cold-start scenarios. In this paper, a novel trust-aware recommendation approach for e-commerce is proposed, which unearths the hint from ordinary rating and trust network by users' instant interactions in e-commerce system. More precisely, a rating revamping algorithm is designed to extract semantic ratings from feedback comments, and further construct fine grained rating score for the next process. Then, the recommendation scheme is studied through analyzing the users' trust network and their own behavior in e-commerce system. Finally, evaluations conducted based on a real dataset 'Douban' to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages211-216
Number of pages6
ISBN (Electronic)9781538613269
DOIs
Publication statusPublished - 2017 Dec 28
Event10th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2017 - Kanazawa, Japan
Duration: 2017 Nov 222017 Nov 25

Publication series

NameProceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017
Volume2017-January

Other

Other10th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2017
CountryJapan
CityKanazawa
Period17/11/2217/11/25

Keywords

  • e-commerce
  • recommender system
  • social network
  • trust-aware

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management

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