| Presentation | 2007-05-31 Personalized Recommendation by Identifying Innovator Noriaki KAWAMAE, Takeshi YAMADA, Naonori UEDA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | To improve the predictive performance of personalized recommendation systems, we propose a personalized ranking method based on a new user-user relationship measure. We assume that the behavior of an active user can be predicted from the behavior history of like-minded innovators, who share the interests of the user and behave earlier than the user. To identify these innovators, we define the Relative Innovator Degree (RID) that is the innovator degree of any user with respect to a given active user, and that allows us to evaluate how likely it is that the active user would select him/her. We also consider the indirect propagation effect of RID influences by simulating users recursively selecting and, and incorporate this notion in the proposed method. The list of top N candidate contents for recommendation is obtained by summarizing the preferences of all influential users. Experiments using real online sales data show that the proposed method significantly outperforms existing methods in terms of precision, especially when the recursive propagation effects are incorporated. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Personalization / Ranking / Recommendation / Prediction / Innovator |
| Paper # | AI2007-4 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2007/5/24(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Personalized Recommendation by Identifying Innovator |
| Sub Title (in English) | |
| Keyword(1) | Personalization |
| Keyword(2) | Ranking |
| Keyword(3) | Recommendation |
| Keyword(4) | Prediction |
| Keyword(5) | Innovator |
| 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 |
| 3rd Author's Name | Naonori UEDA |
| 3rd Author's Affiliation | NTT Communication Science Laboratories |
| Date | 2007-05-31 |
| Paper # | AI2007-4 |
| Volume (vol) | vol.107 |
| Number (no) | 78 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |