Computer Science ›› 2019, Vol. 46 ›› Issue (10): 27-31.doi: 10.11896/jsjkx.190300388

• Big Data & Data Science • Previous Articles     Next Articles

Recommendation Algorithm with Field Trust and Distrust Based on SVD

ZHANG Qi, LIU Ling, WEN Jun-hao   

  1. (School of Big Data and Software Engineering,Chongqing University,Chongqing 401331,China)
  • Received:2019-03-01 Revised:2019-05-14 Online:2019-10-15 Published:2019-10-21

Abstract: The collaborative filtering algorithms in recommender systems usually suffer from data sparsity or cold-start problems.Although most of the existing social recommendation algorithms can alleviate these problems to a certain extent,they only measure the influence of trust relationship from a single aspect.In order to measure the influence of the social relationship on recommendation prediction more accurately,this paper proposed a novel social recommendation algorithm with field trust and distrust based on singular value decomposition (SVD),named FTDSVD.Based on the SVD algorithm,the trust relationship and distrust relationship information of users is added in order to correct the social relationship,and the global influence of users and the field relevance of trust are considered.Finally,it is compared with the state-of-the-art methods on the Epinions dataset .Experiment results show that the FTDSVD algorithm has obvious effects in improving the recommendation quality and alleviating the cold start problem.

Key words: Distrust relationship, Field correlation, Re-commender system, Singular value decomposition (SVD), Trust recommendation

CLC Number: 

  • TP391
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