Volume 8 Number 1 (Jan. 2013)
Home > Archive > 2013 > Volume 8 Number 1 (Jan. 2013) >
JSW 2013 Vol.8(1): 11-18 ISSN: 1796-217X
doi: 10.4304/jsw.8.1.11-18

A Robust Collaborative Filtering Recommendation Algorithm Based on Multidimensional Trust Model

Dongyan Jia, Fuzhi Zhang, Sai Liu
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China

Abstract—Collaborative filtering is one of the widely used technologies in the e-commerce recommender systems. It can predict the interests of a user based on the rating information of many other users. But the traditional collaborative filtering recommendation algorithm has the problems such as lower recommendation precision and weaker robustness. To solve these problems, in this paper we present a robust collaborative filtering recommendation algorithm based on multidimensional trust model. Firstly, according to the rating information of users, a multidimensional trust model is proposed. It measures the credibility of user’s ratings from the following three aspects: the reliability of item recommendation, the rating similarity and the user’s trustworthiness. Secondly, the computational model of trust and the traditional collaborative filtering approach are combined to select the reliable neighbor set and generate recommendation for the target user. Finally, the performances of the novel algorithm with others are compared from both sides of recommendation precision and robustness using MovieLens dataset. Compared with the existing algorithms, the proposed algorithm not only improves the quality of neighbor selection and the recommendation precision, but also has better robustness.

Index Terms—Multidimensional trust model, robustness, collaborative filtering, recommender system.

[PDF]

Cite: Dongyan Jia, Fuzhi Zhang, Sai Liu, "A Robust Collaborative Filtering Recommendation Algorithm Based on Multidimensional Trust Model," Journal of Software vol. 8, no. 1, pp. 11-18, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Aug 21, 2019 News!

    Papers published in JSW Vol 14, No 1- Vol 14 No 8 have been indexed by DBLP     [Click]

  • Jun 25, 2019 News!

    Vol.13, No.9 has been indexed by EI (Inspec).   [Click]

  • Aug 01, 2018 News!

    [CFP] 2020 the annual meeting of JSW Editorial Board, ICCSM 2020, will be held in Rome, Italy, July 17-19, 2020   [Click]

  • Jul 10, 2019 News!

    Vol 14, No.8 has been published with online version 4 original aritcles from 2 countries are published in this issue.    [Click]

  • Sep 12, 2019 News!

    Vol 14, No 10 has been published with online version 4 original aritcles from 2 countries are published in this issue      [Click]