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優秀論文
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A Quaternary-Stage User Interest Model Based on User Browsing Behavior and Web Page Classification |
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| 作者：Zongli Jiang, Hang Su |
| 來源：本站原創 |
| 更新時間：2012/8/2 10:39:00 |
| 正文： |
College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
Abstract
The key to personalized search engine lies in user model. Traditional personalized model results in that the search results of secondary search are partial to the long-term interests, besides, forgetting to the long-term interests disenables effective recollection of user interests. This paper presents a quaternary-stage user interest model based on user browsing behavior and web page classification, which consults the principles of cache and recycle bin in operating system, by setting up an illuminating text-stage and a recycle bin interest-stage in front and rear of the traditional interest model respectively to constitute the quaternary-stage user interest model. The model can better reflect the user interests, by using an adaptive natural weight and its calculation method, and by efficiently integrating user browsing behavior and web document content.
Keywords: Personalized search, Quaternary-stage user interest model, Natural weight.
References
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作者簡介：
蔣宗禮：1956年出生，博士生導師，從事網絡計算、操作系統、人工神經網絡和計算機科學與技術學科的教育教學等研究，發表了大量研究論文。
蘇航：1986年出生，碩士研究生，就讀于北京工業大學計算機學院，研究的課題是網絡信息搜索與處理。
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