Presentation | 2010-02-16 A note on music recommendation based on personal preferences : Introduction of similarity index for preference model Kazuya KOBAYASHI, Miki HASEYAMA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a new music recommendation method based on preference similarity between users. In the proposed method, by applying Support Vector Data Description(SVDD)to musical feature vectors which are calculated from training data, we calculate hyperspheres discriminating preferred music pieces. Furthermore, we newly define a degree of preference similarity between users by using the hyperspheres, and make the combination of similar users in preference based on this degree. Finally, recommended music pieces are outputted based on two probabilities calculated by each center of the hypersphere for the pair of users. Therefore, based on the preference similarity between users, recommendation of music pieces can be effectively realized. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Music recommendation / SVDD / Musical feature |
Paper # | ITS2009-67,IE2009-161 |
Date of Issue |
Conference Information | |
Committee | ITS |
---|---|
Conference Date | 2010/2/8(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 | Intelligent Transport Systems Technology (ITS) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A note on music recommendation based on personal preferences : Introduction of similarity index for preference model |
Sub Title (in English) | |
Keyword(1) | Music recommendation |
Keyword(2) | SVDD |
Keyword(3) | Musical feature |
1st Author's Name | Kazuya KOBAYASHI |
1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
2nd Author's Name | Miki HASEYAMA |
2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
Date | 2010-02-16 |
Paper # | ITS2009-67,IE2009-161 |
Volume (vol) | vol.109 |
Number (no) | 414 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |