Presentation | 2007/3/8 Ranking Method Incorporating User Coverage Noriaki KAWAMAE, Takeshi YAMADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a novel ranking method incorporating user content coverage for improving user information retrieval activity. The proposed method is composed of the detection of users with high content coverage and the ranking model based on Naive Bayes. We assume that the import users can be identified by their comprehensive contents coverage of a target domain. The advantage of this method is to enable users to adjust and personalize ranking in view of coverage. We have applied the proposed method to a benchmark data set and confirmed that it enabled us to incorporate user content coverage in the ranking resulting in improving user information retrieval activity. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Ranking Algorithm / Information Retrieval / Personalization / Collaborative Filtering / Contents Filtering |
Paper # | AI2006-50 |
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Conference Information | |
Committee | AI |
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Conference Date | 2007/3/8(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) | Ranking Method Incorporating User Coverage |
Sub Title (in English) | |
Keyword(1) | Ranking Algorithm |
Keyword(2) | Information Retrieval |
Keyword(3) | Personalization |
Keyword(4) | Collaborative Filtering |
Keyword(5) | Contents Filtering |
1st Author's Name | Noriaki KAWAMAE |
1st Author's Affiliation | NTT Communication Science Laboratories() |
2nd Author's Name | Takeshi YAMADA |
2nd Author's Affiliation | NTT Communication Science Laboratories |
Date | 2007/3/8 |
Paper # | AI2006-50 |
Volume (vol) | vol.106 |
Number (no) | 586 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |