Presentation | 2010-06-25 A Search Action Extraction Method Based on Browsing History Daiki SATOH, Toshiharu SUGAWARA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Due to the large number of web pages, recommendation systems that assist users to find intended information from web pages has been proposed and developed. Our goal is to develop the less onerous recommendation system from webpages of all domains for a small community at search actions in web browsing. However, we have some problems. In this paper, we propose the method for extracting search actions from browsing history, in order to find the pages that deserve for being recommended if someone in the small community begin the search actions with the same/similar search words. The result of our experiment reveals that the proposed method can extract search actions correctly with approximately 52%, and then it can find, with approximately 87%, the web pages that are appropriate for recommendation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Web page recommendation / Web browsing history / Web search / Similarities between web pages |
Paper # | AI2010-6 |
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Committee | AI |
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Conference Date | 2010/6/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Search Action Extraction Method Based on Browsing History |
Sub Title (in English) | |
Keyword(1) | Web page recommendation |
Keyword(2) | Web browsing history |
Keyword(3) | Web search |
Keyword(4) | Similarities between web pages |
1st Author's Name | Daiki SATOH |
1st Author's Affiliation | Waseda University Department of Computer Science and Engineering() |
2nd Author's Name | Toshiharu SUGAWARA |
2nd Author's Affiliation | Waseda University Department of Computer Science and Engineering |
Date | 2010-06-25 |
Paper # | AI2010-6 |
Volume (vol) | vol.110 |
Number (no) | 105 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |