WebWatcher : A Learning Apprentice for the World Wide Web
WebWatcher : A Learning Apprentice for the World Wide Web
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DOI：
10.21236/ada640219
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发表时间：
1995-02
期刊：
影响因子：
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通讯作者：
R. Armstrong;Dayne Freitag;T. Joachims;Tom Michael Mitchell
中科院分区：
文献类型：
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作者：
R. Armstrong;Dayne Freitag;T. Joachims;Tom Michael Mitchell
我们描述了万维网的信息搜索助手。该代理称为 WebWatcher，通过使用有关哪些超链接可能通向目标信息的知识，以交互方式帮助用户定位所需信息。迄今为止，我们主要关注两个问题：(1) 组织 WebWatcher 向 Mosaic 用户提供交互式建议，同时将他们成功和不成功的搜索记录为训练数据；(2) 结合机器学习方法，根据用户当前查看的网页和用户的信息目标，自动获取知识以选择合适的超链接。我们描述了 WebWatcher 的初始设计以及我们初步学习实验的结果。
We describe an information seeking assistant for the world wide web. This agent, called WebWatcher, interactively helps users locate desired information by employing learned knowledge about which hyperlinks are likely to lead to the target information. Our primary focus to date has been on two issues: (1) organizing WebWatcher to provide interactive advice to Mosaic users while logging their successful and unsuccessful searches as training data, and (2) incorporating machine learning methods to automatically acquire knowledge for selecting an appropriate hyperlink given the current web page viewed by the user and the user’s information goal. We describe the initial design of WebWatcher, and the results of our preliminary learning experiments.