[1] ［1］ 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.

［2］ ARENS W F. 当代广告学［M］. 8版.北京：人民邮电出版社, 2006.

［3］ EBAY. Online Retail Media［EB/OL］. 2012. http://www2.ebayadvertising.com/uk/online-retail-media.

［4］ HABEGGER J. Why Amazon is about to Become a Force in Online Advertising［EB/OL］. 2011. http://www.commercialalert.org/issues/culture/internet-socialmedia/why-amazon-is-about-to-become-a-force-in-online-advertising.

［5］ O’REILLY T. The Convergence of Advertising and E-Commerce［EB/OL］. 2010. http://radar.oreilly.com/2010/02/convergence-advertising-mobile-ecommerce.html.

［6］ 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.

［7］ 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.

［8］ BAEZA-YATES R, RIBEIRO-NETO B. Modern Information Retrieval［M］. ［S.l.］ Addison-Wesley, 1999.

［9］ 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.

［10］ 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.

［11］ 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.

［12］ 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.

［13］ LINDEN G, SMITH B, YORK J. Amazon.com recommendations: item-to-item collaborative filtering［J］. Internet Computing, IEEE, 2003, 7(1): 76-80.

［14］ NETFLIX. The Netflix Prize［EB/OL］. 2009. http://www.netflixprize.com.

［15］ RODGERS J L, NICEWANDER W A. Thirteen ways to look at the correlation coefficient［J］. American Statistician, 1988, 42(1): 59-66.

［16］ 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.

［17］ DESHPANDE M, KARYPIS G. Item-based top-N recommendation algorithms［J］. ACM Transactions on Information Systems, 2004, 22(1): 143-177.

［18］ 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.

［19］ BALABANOVIC M, SHOHAM Y. Fab: content-based, collaborative recommendation［J］. Communications of the ACM, 1997, 40(3): 66-72.

［20］ 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.

［21］ 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.

［22］ 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.

［23］ 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.

［24］ 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.

［25］ ADOMAVICIUS G, TUZHILIN A. Personalization technologies: a process-oriented perspective［J］. Communications of the ACM, 2005, 48(10): 83-90.

［26］ 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.