Presentation 2001/7/11
Evaluation of the Information-Spread Model based on Users' Relevance
Susumu Takeuchi, Junzou Kamahara, Shinji Shimojo, Hideo Miyahara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) There are some methods for filtering the distributed information in the Internet, but no method based on the authority of information or transmitter. We consider that the significance of information is determined by user's reliability toward the author or the transmitter. Therefore, we proposed the information-spread model in which user re-transmits information to his meighbors or discard based on the relations to the neighbor. Each user does such process one by one. In this model, since the neighbors judge whether the information has a worth to read, the reliability of information can be estimated by the confidence to them. Those reliabilityes can be used as filtering. We named this "Human Network based Filtering." The result of the experiment in this article shows that the relevance between users takes filtering effects.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Information-Spread Model / Human Network based Filtering / Filtering / Distribution of Information / P2P Communication Model
Paper # DE2001-37
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Conference Information
Committee DE
Conference Date 2001/7/11(1days)
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Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of the Information-Spread Model based on Users' Relevance
Sub Title (in English)
Keyword(1) Information-Spread Model
Keyword(2) Human Network based Filtering
Keyword(3) Filtering
Keyword(4) Distribution of Information
Keyword(5) P2P Communication Model
1st Author's Name Susumu Takeuchi
1st Author's Affiliation ()
2nd Author's Name Junzou Kamahara
2nd Author's Affiliation
3rd Author's Name Shinji Shimojo
3rd Author's Affiliation
4th Author's Name Hideo Miyahara
4th Author's Affiliation
Date 2001/7/11
Paper # DE2001-37
Volume (vol) vol.101
Number (no) 192
Page pp.pp.-
#Pages 8
Date of Issue