Presentation | 2009-05-22 A Method for Relevance Calculation between Browsed Web Pages toward Personalized Recommendation System Kosuke NAKAO, Tsunenori MINE, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This thesis proposes "Relative-Webpage-Recommendation" as a support of browsing. Using this method, user can get webpages that has relevance to browsing one. And we think that this method provides more personalized web browsing. Relevance between webpages is calculated from user's browsing history. In this thesis, we propose the method for calculating relevance from two elements. One is that user's browsing history is mappable to forest structure. Another is a hypothesis that there is some co-occurrence between pages which browsed at the same time by tab browser. Additionally, we consider experimental result, and show issue. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | information recommendation / personalization / browsing support / multi agent / co-occurrence between tab |
Paper # | AI2009-6 |
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Committee | AI |
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Conference Date | 2009/5/15(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 Method for Relevance Calculation between Browsed Web Pages toward Personalized Recommendation System |
Sub Title (in English) | |
Keyword(1) | information recommendation |
Keyword(2) | personalization |
Keyword(3) | browsing support |
Keyword(4) | multi agent |
Keyword(5) | co-occurrence between tab |
1st Author's Name | Kosuke NAKAO |
1st Author's Affiliation | Kyushu University, Graduate School of Information Science & Electrical Engineering() |
2nd Author's Name | Tsunenori MINE |
2nd Author's Affiliation | Kyushu University, Graduate School of Information Science & Electrical Engineering |
Date | 2009-05-22 |
Paper # | AI2009-6 |
Volume (vol) | vol.109 |
Number (no) | 51 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |