Presentation 2007/3/8
Ranking Method Incorporating User Coverage
Noriaki KAWAMAE, Takeshi YAMADA,
PDF Download Page PDF download Page Link
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
Date of Issue

Conference Information
Committee AI
Conference Date 2007/3/8(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
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