| 用户兴趣模型的表示和更新机制 |
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| 引用本文： | 林鸿飞,杨元生.用户兴趣模型的表示和更新机制[J].计算机研究与发展,2002,39(7):843-847. |
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| 作者姓名： | 林鸿飞 杨元生 |
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| 作者单位： | 大连理工大学计算机科学与工程系,大连,116024 |
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| 基金项目： | 国家自然科学基金资助 (60 14 3 0 0 2) |
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| 摘 要： | 面对因特网的海量信息,为了实现基于用户兴趣的个性化信息服务,提出了用户兴趣模型的表示和更新机制．它根据用户提供的各类示例文档,将文本的段落作为识别用户兴趣的基本要素．在聚类分析基础上,考察特征项、段落和类别的表达能力,建立用户兴趣模型,通过计算与文本的匹配程度,将满足约定条件的文本推荐给用户．利用相关反馈,追踪和更新用户兴趣模型,提高个性化信息服务的效率。
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| 关 键 词： | 个性化信息服务 用户兴趣模型 段落匹配 文本聚类 相关反馈 |
THE REPRESENTATION AND UPDATE MECHANISM FOR USER PROFILE |
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| LIN Hong,Fei and YANG Yuan,Sheng.THE REPRESENTATION AND UPDATE MECHANISM FOR USER PROFILE[J].Journal of Computer Research and Development,2002,39(7):843-847. |
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| Authors: | LIN Hong Fei and YANG Yuan Sheng |
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| Abstract: | Personal information service plays an important role in the Internet, which is based on the user's interest. The representation and update mechanism for the user profiles are presented in this paper. It collects various types of example documents provided by users and sets up the user profiles based on paragraphs clustered, because the paragraph is the best "grain" to understand the user's interest and its ability to reveal text topic can be measured by co occurrence in example documents. The documents from stream are matched with the profiles, and then they are delivered to users according to the constraining conditions. Consequently, these relevant documents are used to improve the user profiles. |
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| Keywords: | personal information service user profile paragraph match document clustering relevance feedback |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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