|
37 References Balabanovic, M. and Shoham, Y., “Fab: Content-based, Collaborative Recommendation,” Communications of the ACM, Vol. 40, No. 3, 1997, pp.66-72. Basu, C., Hirsh, H., and Cohen, W., “Recommendation as Classification: Using Social and Content-Based Information in Recommendation,” Proceedings of the 15th National Conference on Artificial Intelligence (AAAI-98), 1998, pp.714-720. Berson, A. and Smith, S. J., Data Warehousing, Data Mining & OLAP, McGraw-Hill, Inc., 1997. Breese, J. S., Heckerman, D. and Kadie, C., “Empirical Analysis of Predictive Algorithms for Collaborative Filtering,” Proceedings of the 14th Annual Conference on Uncertainty in Artificial Intelligence (UAI-98), 1998, pp.43-52. Claypool, M., Gokhale, A., Miranda, T., Murnikov, P., Netes, D. and Sartin, M., “Combining Content-based and Collaborative Filters in an Online Newspaper,” Proceedings of the ACM SIGIR’99 Workshop on Recommender Systems: Algorithms and Evaluation, 1999. Goldberg, D., Nichols, D., Oki, B. M. and Terry, D., “Using Collaborative Filtering to Weave an Information Tapestry,” Communications of the ACM, Vol.35, No.12, 1992, pp.61-70. Good, N., Schafer, J., Konstan, J., Borchers, A., Sarwar, B., Herlocker, J. and Riedl, J., “Combining Collaborative Filtering with Personal Agents for Better Recommendations,” Proceedings of the 1999 Conference of the American Association of Artificial Intelligence (AAAI-99), 1999, pp.439-446. Haubl, G. and Murry K.B., “Preference Construction and Persistence in Digital Marketpaces: The Role of Electronic Recommendation Systems,” Journal of Consumer Psychology, Vol. 13, No. 1&2, pp. 75-91. Herlocker, J., Konstan, J., Borchers, A. and Riedl, J., “An Algorithmic Framework for Performing Collaborative Filtering,” Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999, pp.230-237. Jin, X., Zhou, Y., and Mobasher, B., "A maximum entropy web recommendation system: combining collaborative and content features," Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery in 38 Data mining,2005, pp.612-617 Konstan, J. A., Miller, B. N., Maltz, D., Herlocker, J. L., Gordon, L. R. and Riedl, J., “GroupLens: Applying Collaborative Filtering to Usenet News,” Communications of the ACM, Vol. 40, No. 3, 1997, pp.77-87. Lang, K., “News Weeder: Learning to Filter Netnews,” Proceedings of the 12th International Conference on Machine Learning, 1995, pp.331-339. Li, Q., & Kim, B., "An approach for combining content-based and collaborative filters," Proceedings of the 6th International Workshop on Information Retrieval with Asian Languages , Vol. 11, 2003, pp.17-24. Linden, G., Smith, B., & York, J., "Amazon.com recommendations: Item-to-item collaborative filtering," Internet Computing, IEEE, Vol. 7, No. 1, 2003, PP. 76-80. Melville, P., Mooney, R. J., and Nagarajan, R., “Content-Boosted Collaborative Filtering for Improved Recommendations,” Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-2002), 2002, pp. 187-192. Pazzani, M., Muramatsu, J. and Billsus, D., “Syskill & Webert: Identifying Interesting Webs,” Proceedings of the 13th National Conference on Artificial Intelligence, 1996, pp.54-61. Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P. and Riedl, J., “GroupLens: An Open Architecture for Collaborative Filtering of Netnews,” Proceedings of the Conference on Computer Supported Cooperative Work (CSCW), 1994, pp.175-186. Rucker, J. and Polanco, M. J., “Siteseer: Personalized Navigation for the Web,” Communications of the ACM, Vol. 40, No. 3, 1997, pp.73-76. Sarwar, B. M., Karypis, G., Konstan, J. A. and Riedl, J., “Analysis of Recommendation Algorithms for E-commerce,” Proceedings of the 2th ACM Conference on Electronic Commerce, 2000, pp.158-167. Schafer, J. B., Konstan, J. and Riedl, J., “Recommendation Systems in E-commerce,” Proceedings of the ACM Conference on Electronic Commerce, 1999, pp. 158-166 Schafer, J. B., Konstan, J. and Riedl, J., “E-Commerce Recommendation Applications,” Data Mining and Knowledge Discovery, Vol. 5, No. 1, 2001, pp.115-153. Shardanand, U. and Maes, P., “Social Information Filtering: Algorithms for Automating Word of Mouth,” Proceedings of the ACM CHI’95 Conference on Human Factors in Computing Systems, 1995, pp.210-217. Tran, T. and Cohen, R., “Hybrid Recommender Systems for Electronic Commerce,” Proceedings of the AAAI-2000 Workshop on Knowledge-based Electronic Markets, 2000. Voorhees, E. M., “Implementing Agglomerative Hierarchical Clustering Algorithms for Use in Document Retrieval,” Information Processing and Management, Vol. 22, 1986, pp.465-476. Wei, C., Chiang, R., Tseng, C., and Yang, C., “Web Recommendation Services: A Cluster-based Collaborative Filtering Approach,” Working Paper, National Taiwan University, 2010.
|