An Efficient Web Page Recommendation Based on Preference Footprint to Browsed Pages
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
Page 99-104
published_at 2009-11
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| File | |
| Title ( eng ) |
An Efficient Web Page Recommendation Based on Preference Footprint to Browsed Pages
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| Creator |
Hayashi Shuhei
Inoshita Yuuki
|
| Source Title |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
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| Start Page | 99 |
| End Page | 104 |
| Abstract |
This paper proposes a new scheme for web page recommendation which reflects the preference of each user to the recommended pages in an efficient and effective manner. The basic idea of the scheme is to combine the notion of preference footprint to browsed pages with the collaborative filtering. More concretely, we introduce the notion of "tags" similar to conventional SBS (Social Bookmark Service), and attach all tags associated with a user to a page when it is browsed by him. We implemented a prototype of the proposed scheme, and conducted preliminary experiments to evaluate the performance of the scheme. The result of experiments indicates that it takes less than 0.5 sec to reorder a list of 500 URLs received from a search engine according to the preference of users.
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| NDC |
Technology. Engineering [ 500 ]
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| Language |
eng
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| Resource Type | conference paper |
| Publisher |
IEEE SMC Hiroshima Chapter
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| Date of Issued | 2009-11 |
| Rights |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| Publish Type | Version of Record |
| Access Rights | open access |
| Source Identifier |
[ISSN] 1883-3977
[URI] http://www.hil.hiroshima-u.ac.jp/iwcia/2009/
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