| 基于遗传算法的用户模板优化研究 |
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| 引用本文： | 李雯,刘培玉,周洪利. 基于遗传算法的用户模板优化研究[J]. 山东师范大学学报(自然科学版), 2007, 22(3): 34-36 |
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| 作者姓名： | 李雯 刘培玉 周洪利 |
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| 作者单位： | 山东师范大学信息科学与工程学院,250014,济南 |
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| 摘 要： | 近年来，由于科技突飞猛进的发展和互联网的迅速崛起，不良信息的过滤成为信息过滤的一个重要方向，而信息过滤的关键技术是用户模板的获取．本文对遗传算法作了改进，并将其用于优化用户模板，使用户模板具有关键词自动扩充和自适应能力，进而能有效地进行过滤，提高过滤质量．
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| 关 键 词： | 遗传算法 用户需求模板 信息过滤 |
| 修稿时间： | 2007-04-28 |
RESEARCH ON USER PROFILE OPTIMIZING BASED ON GENETIC ALGORITHM |
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| Li Wen,Liu Peiyu,Zhou Hongli. RESEARCH ON USER PROFILE OPTIMIZING BASED ON GENETIC ALGORITHM[J]. Journal of Shandong Normal University(Natural Science), 2007, 22(3): 34-36 |
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| Authors: | Li Wen Liu Peiyu Zhou Hongli |
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| Affiliation: | School of Information Science and Engineering, Shandong Normal University ,250014, Jinan, China |
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| Abstract: | In recent years the network is rapidly grown, and filtering harmful information is an important direction of information filtering. The key technology of information filtering is to access to user profiles. Genetic algorithms have been improved and are used to optimize the profile, to make the user profile have the ability of expansion and adaptation, and improve the filtering quality. We find that applying genetic algorithms to the user profile can achieve satisfying performances. |
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| Keywords: | genetic algorithm user profile information filtering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
