| 基于内容过滤的个性化搜索算法 |
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| 引用本文： | 曾春,邢春晓,周立柱.基于内容过滤的个性化搜索算法[J].软件学报,2003,14(5):999-1004. |
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| 作者姓名： | 曾春 邢春晓 周立柱 |
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| 作者单位： | 清华大学,计算机科学与技术系,北京,100084 |
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| 基金项目： | Supported by the National Natural Science Foundation of China under Grant No.60221120146 (国家自然科学基金); the National Grand Fundamental Research 973 Program of China under Grant No.G1999032704 (国家重点基础研究发展规划(973)) |
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| 摘 要： | 传统信息检索技术满足了人们一定的需要,但由于其通用的性质,仍然不能满足不同背景、不同目的和不同时期的查询请求.提出了一种基于内容过滤的个性化搜索算法.利用领域分类模型上的概率分布表达了用户的兴趣模型,然后给出了相似性计算和用户兴趣模型更新的方法.对比实验表明,概率模型比矢量空间模型更好地表达了用户的兴趣和变化.
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| 关 键 词： | 个性化 基于内容过滤 搜索算法 用户模型 推荐系统 |
| 文章编号： | 1000-9825/2003/14(05)0999 |
| 收稿时间： | 2002/10/21 0:00:00 |
| 修稿时间： | 2002/12/4 0:00:00 |
A Personalized Search Algorithm by Using Content-Based Filtering |
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| ZENG Chun,XING Chun-Xiao and ZHOU Li-Zhu.A Personalized Search Algorithm by Using Content-Based Filtering[J].Journal of Software,2003,14(5):999-1004. |
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| Authors: | ZENG Chun XING Chun-Xiao and ZHOU Li-Zhu |
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| Abstract: | Traditional information retrieval technologies satisfy users need to a great extent. However, for their all-purpose characteristics, they can not satisfy any query from the different background, with the different intention and at the different time. A personalized search algorithm by using content-based filtering is presented in this paper. The user model is represented as the probability distribution over the domain classification model. A method of computing similarity and a method of revising user model are provided. Compared with the vector space model, the probability model is more effective on describing a users interests. |
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| Keywords: | personalization content-based filtering search algorithm user model recommendation system |
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