| Presentation | 2003/10/16 Collaborative Filtering Improving Information and Knowledge : Methods for Spreading the Field of Collaborative Filtering Noriaki KAWAMAE, Hideaki SUZUKI, Osamu MIZUNO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A collaborative filtering is useful way for the information and knowledge sharing. The collaborative filtering supports the information and knowledge sharing based on user's similarity, which are discovered by the data such as user's history. Mfe are studying that the introducing of collaborative filtering to improve the information and knowledge sharing more efficiently than ever. To spread the applicable field, the existing collaborative filtering must solve following problems: (1) "the Cold Start Problem", (2) improvement in the speed of processing and (3) improvement in the prediction accuracy. Objective of this research is to provide the methods that can solve these three problems. In this paper we propose the presumption method of a deficit value to the Cold Start Problem, the extraction method of a useful data to the improvement in the speed of processing and the discovery method of a similarity among user to the improvement in the prediction accuracy. Additionally we conducted the comparison experiments using these proposed methods and confirmed the efficiency. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Information Sharing / Knowledge Sharing / Collaborative Filtering / Cold Start Problem / Presumption Method of a Deficit Value / Extraction Method of a Useful Data / Hidden Preference Model |
| Paper # | PRMU2003-121,NC2003-52 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2003/10/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Collaborative Filtering Improving Information and Knowledge : Methods for Spreading the Field of Collaborative Filtering |
| Sub Title (in English) | |
| Keyword(1) | Information Sharing |
| Keyword(2) | Knowledge Sharing |
| Keyword(3) | Collaborative Filtering |
| Keyword(4) | Cold Start Problem |
| Keyword(5) | Presumption Method of a Deficit Value |
| Keyword(6) | Extraction Method of a Useful Data |
| Keyword(7) | Hidden Preference Model |
| 1st Author's Name | Noriaki KAWAMAE |
| 1st Author's Affiliation | NTT Information Sharing Platform Laboratories() |
| 2nd Author's Name | Hideaki SUZUKI |
| 2nd Author's Affiliation | NTT Information Sharing Platform Laboratories |
| 3rd Author's Name | Osamu MIZUNO |
| 3rd Author's Affiliation | NTT Information Sharing Platform Laboratories |
| Date | 2003/10/16 |
| Paper # | PRMU2003-121,NC2003-52 |
| Volume (vol) | vol.103 |
| Number (no) | 391 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |