User modeling for personalized web search with self-organizing map
The widely used Web search engines index and recommend individual Web pages in response to a few keywords queries to assist users in locating relevant documents. However, the Web search engines give different users the same answer set, although the users may have different preferences. A personalize...
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| Main Authors: | , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
2011
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/94185 http://hdl.handle.net/10220/7100 |
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| 總結: | The widely used Web search engines index and recommend individual Web pages in response to a few keywords queries to assist users in locating relevant documents. However, the Web search engines give different users the same answer set, although the users may have different preferences. A personalized Web search would carry out the search for each user according to his or her preferences. To conduct the personalized Web search, the authors provide a novel approach to model the user profile with a self-organizing map (SOM). Their results indicate that SOM is capable of helping the user to find the related category for each query used in the Web search to make a personalized Web search effective. |
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