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基于语义的个性化用户兴趣模型 被引量:11

Personalized Model of User Interests Based on Semantics
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摘要 探讨了主动服务和个性化服务,给出了以主要特征词描述语义的用户访问历史的表示方法,建立了动态的用户兴趣模型。用户的兴趣模型表示为二层,上层是基于类兴趣的用户模型,下层是基于主要特征词兴趣的类模型。上层描述用户对各个类的兴趣度,下层描述用户对各类中的主要特征词的兴趣度。在建模过程中,通过启发式规则限制模型维度,通过行权重实现最近最新优先。 This paper discusses the active services and personalized services, describes semantics with the primary terms, offers the express method of user access histories. The dynamic user interests model is established. User interests model falls into two levels, the top level is a user model based on class interests; the down level is a class model based on primary term interests. The top level describes the class interests of user; the down level describes the primary term interests of classes. In the course of modeling, dimensionality is limited through heuristic rules, and the priorities are given through line-weights.
出处 《计算机科学》 CSCD 北大核心 2008年第7期181-184,共4页 Computer Science
基金 西南大学研究生科技创新基金资助(2006011)
关键词 主动服务 个性化 访问历史 用户兴趣模型 Active services,Personalization, Access history,User interests model
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参考文献6

  • 1Jurafsky D,Martin J H.自然语言处理综论.冯志伟,等译.北京:电子工业出版社,2005(6):403-406.
  • 2Salton G, McC-ill M J. Introduction to Modern Information Retrieval. McGraw-Hill, New York, 1983.
  • 3Salton G, Buckley C. Term Weighting Approaches in Automatic Text Retrieval. Information Processing and Mangement, 1988, 24(5):513- 523.
  • 4Luhn H P. A statistical approach to the mechanized encoding and searching of literary information. IBM Journal of Research and Development, 1957,1(4) :309-317.
  • 5Sparck J K. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 1972,28 (1) : 11-21.
  • 6Silverstein C, Henzinger M, Marais H, et al. Analysis of a very large AhaVista querylog. Tech. rep. 1998-014.

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