3Peter Cabena, Discovering《数据挖掘》From Concept to Implementation, IBM, 1997.
4Fayyad, U., Piatetsky-Shapiro, G., Smyth, P. "The KDD Process for Extracting Useful Knowledge from Volumes of Data", Communications of the ACM, November 1996, p27-34.
5Berry, M. and Linoff, G. 1997, Data Mining Techniques for Marketing, Sales, and Customer Support. New York: Wiley Computer Publishing.
2HERLOCKER J L, KONSTAN J A, BORCHERS A, et al. An algorithmic framework for performing collaborative filtering [C]//Proc of the 22nd Annual Int. ACM SIGIR Conf on Research and Develop- ment in Information Retrieval. New York: ACM, 1999:230-237.
3MELVH.E P, MOONEY R J, NAGARAJAN R. Content-boosted collaborative filtering for lmproved recommendations [C]//Proc of the lgth National Conf on Artificial Intelligence. 2002:187-192.
4RESNICN P, IACOVOU N, SUCHAK M, et al. Group lens: An open architecture for collaborative filtering of net news [C]// Proc of the ACM CSCW 94 Conf on Computer-Supported Cooperative Work, New York ACM, 1994: 175-186.
5GHANI R, FANO A. Building Recommender Sys- tems Using a Knowledgebase of Product Semantics [EB/OL]. Http: www. accenture, corn xdoc/en/ services/technology/publications/recommender- ws02. pdf. 2002-10-28/2004-02-16.
