| A Novel Personalized Web Search Model |
| |
| 作者姓名： | ZHU Zhengyu XU Jingqiu TIAN Yunyan REN Xiang |
| |
| 作者单位： | College of Computer Science, Chongqing University, Chongqing 400044, China |
| |
| 基金项目： | Supported by the Specialized Research Foundation for the Doctoral Program of Higher Education of China （20030611016） and the Project of Chongqing University Fund for Key Teachers （2003A33） |
| |
| 摘 要： | A novel personalized Web search model is proposed. The new system, as a middleware between a user and a Web search engine, is set up on the client machine. It can learn a user＇s preference implicitly and then generate the user profile automatically. When the user inputs query keywords, the system can automatically generate a few personalized expansion words by computing the term-term associations according to the current user profile, and then these words together with the query keywords are submitted to a popular search engine such as Yahoo or Google. These expansion words help to express accurately the user＇s search intention. The new Web search model can make a common search engine personalized, that is, the search engine can return different search results to different users who input the same keywords. The experimental results show the feasibility and applicability of the presented work.
|
| 关 键 词： | 互联网 搜索引擎 网络搜索模型 中间件 |
| 文章编号： | 1007-1202（2007）05-0897-05 |
| 收稿时间： | 15 January 2007 |
| 修稿时间： | 2007-01-15 |
A novel personalized Web search model |
| |
| ZHU Zhengyu XU Jingqiu TIAN Yunyan REN Xiang.A Novel Personalized Web Search Model[J].Wuhan University Journal of Natural Sciences,2007,12(5):897-901. |
| |
| Authors: | Zhu Zhengyu Xu Jingqiu Tian Yunyan Ren Xiang |
| |
| Institution: | (1) College of Computer Science, Chongqing University, Chongqing, 400044, China |
| |
| Abstract: | A novel personalized Web search model is proposed. The new system, as a middleware between a user and a Web search engine,
is set up on the client machine. It can learn a user’s preference implicitly and then generate the user profile automatically.
When the user inputs query keywords, the system can automatically generate a few personalized expansion words by computing
the term-term associations according to the current user profile, and then these words together with the query keywords are
submitted to a popular search engine such as Yahoo or Google. These expansion words help to express accurately the user’s
search intention. The new Web search model can make a common search engine personalized, that is, the search engine can return
different search results to different users who input the same keywords. The experimental results show the feasibility and
applicability of the presented work.
Biography: ZHU Zhengyu(1959–), male, Associate professor, Ph. D., research direction: personalized information retrieval. |
| |
| Keywords: | search engine personalization term-term association retrieval effectiveness |
| 本文献已被 维普 SpringerLink 等数据库收录！ |
