SHARDANAND U, MAES P. Social information filtering: algorithms for automating “word of mouth”[C]. Proceedings of the SIGCHI conference on Human Factors in Computing Systems, 1995: 210-217.
[2]
LINDEN G, SMITH B, YORK J. Amazon.com recommendations: item-to-item collaborative filtering[J]. Internet Computing, IEEE, 2003, 7(1): 76-80.
[3]
RODGERS J L, NICEWANDER W A. Thirteen ways to look at the correlation coefficient[J]. American Statistician, 1988, 42(1): 59-66.
[4]
BREESE J S, HECKERMAN D, KADIE C. Empirical analysis of predictive algorithms for collaborative filtering[C]. Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998: 43-52.
[5]
DESHPANDE M, KARYPIS G. Item-based top-N recommendation algorithms[J]. ACM Transactions on Information Systems, 2004, 22(1): 143-177.
[6]
CLAYPOOL M, GOKHALE A, MIRANDA T, et al. Combining content-based and collaborative filters in an online newspaper[C]. Proceedings of ACM SIGIR Workshop on Recommender Systems: Algorithms and Evaluation, 1999.
[7]
BALABANOVIC M, SHOHAM Y. Fab: content-based, collaborative recommendation[J]. Communications of the ACM, 1997, 40(3): 66-72.
[8]
BASU C, HIRSH H, COHEN W. Recommendation as classification: using social and content-based information in recommendation[C]. Proceedings of the 15th national/10th conference on Artificial Intelligence/Innovative Applications of Artificial Intelligence, 1998: 714-720.
[9]
AGRAWAL R, GOLLAPUDI S, HALVERSON A, et al. Diversifying search results[C]. Proceedings of the Second ACM International Conference on Web Search and Data Mining, 2009.
[10]
ZIEGLER C N, MCNEE S M, KONSTAN J A, et al. Improving recommendation lists through topic diversification[C]. Proceedings of the 14th international conference on World Wide Web, 2005: 22-32.
[11]
YU C, LAKSHMANAN L, AMER-YAHIA S. It takes variety to make a world: diversification in recommender systems[C]. Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, 2009: 368-378.
[12]
BOIM R, MILO T, NOVGORODOV S. DiRec: Diversified recommendations for semantic-less Collaborative Filtering[C]. Proceedings of the 2011 IEEE 27th International Conference on Data Engineering, 2011: 1312-1315.
[13]
ADOMAVICIUS G, TUZHILIN A. Personalization technologies: a process-oriented perspective[J]. Communications of the ACM, 2005, 48(10): 83-90.
[14]
VAN DER HEIJDEN H, KOTSIS G, KRONSTEINER R. Mobile Recommendation Systems for Decision Making ‘On the Go’[C]. Proceedings of the International Conference on Mobile Business, 2005: 137-143.
[15]
WEN H J, CHEN H G, HWANG H G. E-commerce web site design: strategies and models[J]. Information Management & Computer Security, 2001, 9(1): 5-12.
[16]
ARENS W F. 当代广告学[M]. 8版.北京：人民邮电出版社, 2006.
[17]
SCHAFER J B, KONSTAN J, RIEDI J. Recommender systems in e-commerce[C]. Proceedings of the 1st ACM conference on Electronic commerce, 1999: 158-166.
[18]
ADOMAVICIUS G, TUZHILIN A. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions[J]. Knowledge and Data Engineering, 2005, 17(6): 734-749.
[19]
BAEZA-YATES R, RIBEIRO-NETO B. Modern Information Retrieval[M]. [S.l.] Addison-Wesley, 1999.
[20]
MOONEY R J, ROY L. Content-based book recommending using learning for text categorization[C]. Proceedings of the fifth ACM conference on Digital libraries, 2000: 195-204.
[21]
GOLDBERG D, NICHOLS D, OKI B M, et al. Using collaborative filtering to weave an information tapestry[J]. Communications of the ACM, 1992, 35(12): 61-70.
[22]
RESNICK P, IACOVOU N, SUCHAK M, et al. GroupLens: an open architecture for collaborative filtering of netnews[C]. Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work, 1994: 175-186.
