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Web信息个性化的研究

Web信息个性化的研究
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摘要 分析了个性化用户兴趣模型的建立及更新;综述了实现Web信息个性化的两类系统:推荐系统和个性化的Web搜索系统;研究了实现个性化搜索的前提条件;最后对个性化搜索的将来进行了展望。 This paper analyzes the set up and update of user personalized interests model and summarizes two systems that help to realize personalized Web information： reconanendation system and personalized Web search system. It analyzes the precondition of personalized search and finally makes some expectation on personalized search service.
作者 王丽爱 周旭东 陈崚
机构地区 扬州大学信息学院
出处 《现代情报》 北大核心 2006年第11期22-24,27,共4页 Journal of Modern Information
基金 国家自然科学基金(60473012) 国家科技攻关项目(2003BA614A-14) 江苏省自然科学基金(BK2005047) 南京大学软件新技术国家重点实验室开放基金
关键词 个性化 推荐系统 用户兴趣模型 WEB搜索 personalization recommendation system user interest model Web search
分类号 G201 [文化科学—传播学]
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参考文献15

  • 1Y.Khopkar, A.Spink, C.L, Giles, P,Shah, and S.Debnath,Search engine personalization: An exploratory study [ EB]. First Monday, 8 (7), July 2003. See http://www.firstmonday.org/issues/issue8 7/khopkar/.
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二级参考文献41

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  • 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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现代情报
2006年 第11期

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