An improved collaborative filtering recommendation algorithm based on factor of credit

Traditional collaborative filtering algorithm is a weighted average prediction algorithm based on nearest neighbors' ratings. Besides similarity between users, trust and credit are also parameters to affect recommendation. This paper proposes a computational model of credit factor and then a collaborative filtering algorithm based on it. This model is based on trust factor and takes credit model as the basic elements. This proposed algorithm further improves the validity and accuracy of the recommendation.

[1]  Luo Chun-yu.  Collaborative Filtering Recommendation Algorithm Based on Factor of Trust , 2008 .

[2]  T. Earle,et al.  Risk Communication: The Social Construction of Meaning and Trust , 1994 .

[3]  Barry Smyth,et al.  Trust in recommender systems , 2005, IUI.

[4]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[5]  David T. Wilson.  An integrated model of buyer-seller relationships , 1995 .

[6]  Dimitris Plexousakis,et al.  Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences , 2005, iTrust.

[7]  Vladimir Batagelj,et al.  Centrality in Social Networks , 1993 .

[8]  S. Hunt,et al.  The Commitment-Trust Theory of Relationship Marketing , 1994 .

[9]  N. Lin,et al.  Social structure and network analysis , 1985 .

[10]  William P. Bottom,et al.  Adaptive reference points in integrative bargaining. , 1990 .

[11]  Zhang Fu-guo,et al.  Topic-level Trust in Recommender Systems , 2007, 2007 International Conference on Management Science and Engineering.

[12]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[13]  Yue Xu,et al.  An Analysis of Trust Transitivity Taking Base Rate into Account , 2009, 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing.

[14]  Colin Camerer,et al.  Not So Different After All: A Cross-Discipline View Of Trust , 1998 .

[15]  Bobby Bhattacharjee,et al.  Using Trust in Recommender Systems: An Experimental Analysis , 2004, iTrust.

[16]  Jennifer Golbeck,et al.  Investigating interactions of trust and interest similarity , 2007, Decis. Support Syst..

[17]  N. L. Chervany,et al.  THE MEANINGS OF TRUST , 2000 .

[18]  Paolo Avesani,et al.  Trust-Aware Collaborative Filtering for Recommender Systems , 2004, CoopIS/DOA/ODBASE.

[19]  Audun Jøsang,et al.  Semantic Constraints for Trust Transitivity , 2005, APCCM.

[20]  Paul Resnick,et al.  Reputation systems , 2000, CACM.

[21]  G. Zaltman,et al.  Relationships between Providers and Users of Market Research: The Dynamics of Trust within and between Organizations , 1992 .

[22]  E. Chang,et al.  Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence , 2006 .