| Paper Abstract and Keywords |
| Presentation |
2015-02-24 09:30
A Preference Estimation Method based on Relationship between Videos and Viewing Behavior
-- Reduction of Performance Degradation for Few Training Pairs -- Yoshiaki Yamaguchi, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (Kushiro-N.C.T.), Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we propose an efficient preference estimation method based on relationship between video features and users’ viewing behavior features. The proposed method calculates the cross-loadings from pairs of video features and users’ viewing behavior features by using Canonical Correlation Analysis (CCA) to select the video features that represent the users’ individual preference by monitoring the cross-loadings. However, when the number of pairs are small, accurate calculation of cross-loadings becomes difficult. To solve this problem, we apply dimensionality reduction based on Principal Component Analysis (PCA) to the video features to perform accurate calculation of cross-loadings. Here, when we calculate the cross-loadings by using the dimensionality reduced video features, the dimensionality of cross-loadings corresponds to that of the dimensionality reduced video features. Therefore, in our method, we expand the cross-loadings into original dimensionality of the video features for feature selection. Finally, by constructing regression models based on Support Vector Regression (SVR) from the selected video features, rating estimation of videos that reflects the users’ individual preference becomes feasible. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
video recommendation / preference estimation / canonical correlation analysis / support vector regression / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 39, no. 7, ME2015-27, pp. 253-256, Feb. 2015. |
| Paper # |
ME2015-27 |
| Date of Issue |
2015-02-16 (MMS, CE, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
HI IEICE-IE AIT IEICE-ITS ME MMS |
| Conference Date |
2015-02-23 - 2015-02-24 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokudai |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
image processing etc |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2015-02-HI-IE-AIT-ITS-ME-MMS-CE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Preference Estimation Method based on Relationship between Videos and Viewing Behavior |
| Sub Title (in English) |
Reduction of Performance Degradation for Few Training Pairs |
| Keyword(1) |
video recommendation |
| Keyword(2) |
preference estimation |
| Keyword(3) |
canonical correlation analysis |
| Keyword(4) |
support vector regression |
| Keyword(5) |
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| 1st Author's Name |
Yoshiaki Yamaguchi |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Takahiro Ogawa |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Satoshi Asamizu |
| 3rd Author's Affiliation |
Kushiro National College of Technology (Kushiro-N.C.T.) |
| 4th Author's Name |
Miki Haseyama |
| 4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2015-02-24 09:30:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2015-29, CE2015-29, HI2015-27, ME2015-27, AIT2015-27 |
| Volume (vol) |
vol.39 |
| Number (no) |
no.7 |
| Page |
pp.253-256 |
| #Pages |
4 |
| Date of Issue |
2015-02-16 (MMS, CE, HI, ME, AIT) |