| 基于PLSA的面向用户的网络搜索 |
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| 引用本文： | 于芳,陈冬玲,王大玲,于戈,鲍玉斌.基于PLSA的面向用户的网络搜索[J].东南大学学报,2007,23(3):347-351. |
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| 作者姓名： | 于芳 陈冬玲 王大玲 于戈 鲍玉斌 |
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| 作者单位： | 东北大学信息科学与工程学院，东北大学信息科学与工程学院，东北大学信息科学与工程学院，东北大学信息科学与工程学院，东北大学信息科学与工程学院 沈阳110004，沈阳110004 沈阳大学信息学院，沈阳110044，沈阳110004，沈阳110004，沈阳110004 |
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| 基金项目： | The National Natural Science Foundation of China(No60573090,60673139) |
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| 摘 要： | 针对当前的搜索引擎提供面向查询、而非面向用户的服务,从而导致搜索引擎无法满足用户个性化的需求这一问题,提出了一种基于PLSA的新方法,将面向查询词的搜索转变成面向用户的搜索.首先,通过分析用户查询历史和浏览记录建立代表用户模型的用户兴趣向量,在用户发出查询时用户的查询词根据用户兴趣向量被映射到兴趣分类上,最终根据面向用户排序算法将返回结果列表重新排序.实验表明该面向用户搜索系统能够充分考虑用户的偏好,从而更好地满足不同用户的信息需求.
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| 关 键 词： | 面向用户的搜索 潜在搜索意图 概率潜在语义分析(PLSA) 用户模型 兴趣主题 |
| 修稿时间： | 2007-05-18 |
User-oriented web search based on PLSA |
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| Yu Fang,Chen Dongling,Wang Daling,Yu Ge,Bao Yubin.User-oriented web search based on PLSA[J].Journal of Southeast University(English Edition),2007,23(3):347-351. |
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| Authors: | Yu Fang Chen Dongling Wang Daling Yu Ge Bao Yubin |
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| Institution: | 1College of Information Science and Engineering, Northeastern University, Shenyang 110004, China;2 School of Information, Shenyang University, Shenyang 110044, China |
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| Abstract: | In order to solve the problem that current search engines provide query-oriented searches rather than user-oriented ones,and that this improper orientation leads to the search engines' inability to meet the personalized requirements of users,a novel method based on probabilistic latent semantic analysis(PLSA) is proposed to convert query-oriented web search to user-oriented web search.First,a user profile represented as a user's topics of interest vector is created by analyzing the user's click through data based on PLSA,then the user's queries are mapped into categories based on the user's preferences,and finally the result list is re-ranked according to the user's interests based on the new proposed method named user-oriented PageRank(UOPR).Experiments on real life datasets show that the user-oriented search system that adopts PLSA takes considerable consideration of user preferences and better satisfies a user's personalized information needs. |
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| Keywords: | user-oriented search underlying search intention probabilistic latent semantic analysis(PLSA) user profile topics of interest |
| 本文献已被 CNKI 维普 等数据库收录！ |
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