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Web上的个性化推荐技术研究 被引量：1

Web Research on Personalized Recommendation
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摘要 文中介绍了Web上个性化推荐技术的分类、输入数据以及界面表现形式。 This article describes the Web Personalized Recommendation on the classification of technologies input data and interface forms.
作者 赵智 刘昌明 孙琰 ZHAO Zhi,LIU Chang-ming,SUN Yan（Computer Office,Aviation University of Air Force,Changchun 130022,China）
机构地区 空军航空大学计算机教研室
出处 《电脑知识与技术》 2010年第5期3501-3501,3509,共2页 Computer Knowledge and Technology
关键词 个性化推荐系统 推荐算法 personalization recommendation system recommendation algorithm
分类号 TP751 [自动化与计算机技术—检测技术与自动化装置]
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参考文献3

  • 1Pretschner,A.Ontology based personalized search[MS.Thesis].Lawrence,KS:University of Kansas,1999.
  • 2曾春,邢春晓,周立柱.个性化服务技术综述[J].软件学报,2002,13(10):1952-1961. 被引量：395
  • 3Resnick,P.and Varian,H.Recommender systems.Communications of ACM,1997,40(3):pp.56-58.

二级参考文献41

  • 1Han, E.H., Boley, D., Gini, M., et al. WebACE: a web agent for document c ategorization and exploration. In: Sycara, K.P., Wooldridge, M., eds. Proceeding s of the 2nd International Conference on Autonomous Agents. New York: ACM Press, 1998. 408～415.
  • 2Schwab, I., Pohl, W., Koychev, I. Learning to recommend from positive evi dence. In: Riecken, D., Benyon, D., Lieberman, H., eds. Proceedings of the Inter national Conference on Intelligent User Interfaces. New York: ACM Press, 2000. 2 41～247.
  • 3Pretschner, A. Ontology based personalized search [MS. Thesis]. Lawrence, KS: University of Kansas, 1999.
  • 4Adomavicius, G., Tuzhilin, A. User profiling in personalization applicati ons through rule discovery and validation. In: Lee, D., Schkolnick, M., Provost, F., et al., eds. Proceedings of the 5th International Conference on Data Mining and Knowledge Discovery. New York: ACM Press, 1999. 377～381.
  • 5Balabanovic, M., Shoham, Y. Fab: content-based, collaborative recommendat ion. Communications of the ACM, 1997,40(3):66～72.
  • 6Sarwar, B.M., Karypis, G., Konstan, J.A., et al. Application of dimension ality reduction in recommender system--a case study. In: Jhingran, A., Mason, J.M., Tygar, D., eds. Proceedings of the ACM WebKDD Workshop on Web Mining for E -Commerce. New York: ACM Press, 2000.
  • 7Sarwar, B.M., Karypis, G., Konstan, J.A., et al. Analysis of recommendati on algorithms for e-commerce. In: Proceedings of the ACM Conference on Electroni c Commerce. New York: ACM Press, 2000. 158～167.
  • 8Breese, J.S., Heckerman, D., Kadie, C. Empirical analysis of predictive a lgorithms for collaborative filtering. In: Cooper, G.F., Moral, S., eds. Proceed ings of the 14th Conference on Uncertainty in Artificial Intelligence. San Franc isco: Morgan Kaufmann Publishers, 1998. 43～52.
  • 9Aggarwal, C.C., Wolf, J.L., Wu, K., et al. Horting hatches an egg: a new raph-theoretic approach to collaborative filtering. In: Chaudhuri, S., Madigan, D., Fayyad, U., eds. Proceedings of the ACM International Conference on Knowledg e Discovery and Data Mining. New York: ACM Press, 1999. 201～212.
  • 10Sarwar, B., Karypis, G., Konstan, J., et al. Item-Based collaborative fil tering recommendation algorithms. In: Shen, V.Y., Saito, N., eds. Proceedings of the 10th International World Wide Web Conference (WWW10). 2001. 285～295.

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电脑知识与技术
2010年 第5期

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