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了解和预测个人导航
Understanding and Predicting Personal Navigation |
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| 课程网址: |
http://videolectures.net/wsdm2011_teevan_upp/
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| 主讲教师: |
Jaime Teevan
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| 开课单位: |
微软公司
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| 开课时间: |
2011-08-09
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| 课程语种: |
英语
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| 中文简介: |
本文提出了一种算法，该算法以非常高的准确度预测用户将点击所有Web查询的六分之一的Web搜索结果。预测是通过简单的个性化形式完成的，利用人们经常使用搜索引擎重新查找以前查看的资源这一事实。在我们的方法中，通过查询日志分析识别个人过去的导航行为，并用于预测同一个人的相同未来导航行为。我们将个人导航的潜在价值与使用聚合用户行为识别的一般导航进行比较。尽管跨用户的一致导航行为对于识别导航查询的子集可能是有用的，但是不同的人经常使用相同的查询来导航到不同的资源。即使对于由明确的公司名称或URL组成的查询也是如此，通常被认为是导航的。我们了解个人导航的外观，并通过利用人们随时间和个人群体的一致性来确定提高其覆盖率和准确性的方法。
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| 课程简介: |
This paper presents an algorithm that predicts with very high accuracy which Web search result a user will click for one sixth of all Web queries. Prediction is done via a straightforward form of personalization that takes advantage of the fact that people often use search engines to re-find previously viewed resources. In our approach, an individual’s past navigational behavior is identified via query log analysis and used to forecast identical future navigational behavior by the same individual. We compare the potential value of personal navigation with general navigation identified using aggregate user behavior. Although consistent navigational behavior across users can be useful for identifying a subset of navigational queries, different people often use the same queries to navigate to different resources. This is true even for queries comprised of unambiguous company names or URLs and typically thought of as navigational. We build an understanding of what personal navigation looks like, and identify ways to improve its coverage and accuracy by taking advantage of people’s consistency over time and across groups of individuals.
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| 关 键 词: |
算法; 预测; 网址查询; 导航
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| 课程来源: |
视频讲座网
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| 最后编审: |
2020-06-15：wuyq
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| 阅读次数: |
41
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