Learning Probabilistic User Profiles: Applications for Finding Interesting Web Sites, Notifying Users of Relevant Changes to Web Pages, and Locating Grant Opportunities

Learning Probabilistic User Profiles: Applications for Finding Interesting Web Sites, Notifying Users of Relevant Changes to Web Pages, and Locating Grant Opportunities
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学习概率用户配置文件：用于查找感兴趣的网站、通知用户网页的相关更改以及查找资助机会的应用程序

DOI：
10.1609/aimag.v18i2.1293
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发表时间：
1997
期刊：
AI Mag.
影响因子：
--
通讯作者：
Paul Yap
Paul Yap
中科院分区：
--
文献类型：
--
作者：
M. Ackerman;Daniel Billsus;S. Gaffney;S. Hettich;Gordon Khoo;Dong Joon Kim;R. Klefstad;Charles Lowe;Alexius Ludeman;Jack Muramatsu;Kazuo Omori;M. Pazzani;Douglas Semler;Brian Starr;Paul Yap

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本文描述了三种代理，它们可以帮助用户在万维网上找到有用或有趣的信息。代理学习概率简档以查找、分类或排名可能使用户感兴趣的其他信息源。
This article describes three agents that help a user locate useful or interesting information on the World Wide Web. The agents learn a probabilistic profile to find, classify, or rank other sources of information that are likely to interest the user.