Presentation | 2010-11-19 Web page recommendation based on user's tagging tendency in social bookmark Yuuki KISHIBATA, Takashi ISHIDA, Masayuki GOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, web page recommendation systems by using social bookmark services have been studied with development of information technology. Tags in the social bookmark sites are terms in which users are interested and the information of tags may be useful for recommendation purposes. There are various ways between users how to use tags and make a vombination of tags to a web page. In this study, the group of web pages which have the same tag is supposed to represent user's interests. Several variations of recommendation methods using the tags labeled by users are considered and the simulation experiments are shown in this paper. A case study by using the Hatena bookmark which is famous site in Japan is conducted to investigate the performances and properties of the recommendation models. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Social Bookmark / tag / recommendation |
Paper # | AI2010-39 |
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Committee | AI |
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Conference Date | 2010/11/12(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Web page recommendation based on user's tagging tendency in social bookmark |
Sub Title (in English) | |
Keyword(1) | Social Bookmark |
Keyword(2) | tag |
Keyword(3) | recommendation |
1st Author's Name | Yuuki KISHIBATA |
1st Author's Affiliation | Major in Industrial and Management Systems Engineering, Graduate School of Creative Science and Engineering, Waseda University() |
2nd Author's Name | Takashi ISHIDA |
2nd Author's Affiliation | Media Network Center, Waseda University |
3rd Author's Name | Masayuki GOTO |
3rd Author's Affiliation | Department of Industrial and Management Systems Engineering, School of Creative Science and Engineering, Waseda University |
Date | 2010-11-19 |
Paper # | AI2010-39 |
Volume (vol) | vol.110 |
Number (no) | 301 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |