| Paper Abstract and Keywords |
| Presentation |
2022-02-21 17:00
A Note on Interest level Estimation Using Users' Behavior Information
-- Validating the Effectiveness of Feature Integration with Multiple Users --
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we verify the effectiveness of feature integration with multi-user behavior information for interest level estimation in contents. Users' behavior information during viewing contents is correlated with the users' preferences for the contents, and is effective for interest level estimation. Furthermore, since behavior information of the target user, which is the target of interest level estimation, is correlated with behavior information of other users, the accuracy of interest level estimation is expected to be improved by simultaneously using the behavior information of target user and other users. Therefore, in this paper, we focus on semi-supervised ordinally multi-modal Gaussian process latent variable model (semi-OMGP), which is one of the methods that can use behavior information of multiple users. semi-OMGP integrates features calculated from content and multi-user behavior information, and we verify the accuracy of interest level estimation based on the integrated features to confirm the effectiveness of using multi-user behavior information. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Feature integration / Gaussian process / Multiple user / Behavior feature / Interest level estimation / / / |
| Reference Info. |
ITE Tech. Rep., vol. 46, no. 6, ME2022-45, pp. 103-107, Feb. 2022. |
| Paper # |
ME2022-45 |
| Date of Issue |
2022-02-14 (MMS, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
AIT ME MMS IEICE-IE IEICE-ITS |
| Conference Date |
2022-02-21 - 2022-02-22 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
ME |
| Conference Code |
2022-02-AIT-ME-MMS-IE-ITS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Note on Interest level Estimation Using Users' Behavior Information |
| Sub Title (in English) |
Validating the Effectiveness of Feature Integration with Multiple Users |
| Keyword(1) |
Feature integration |
| Keyword(2) |
Gaussian process |
| Keyword(3) |
Multiple user |
| Keyword(4) |
Behavior feature |
| Keyword(5) |
Interest level estimation |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Kyohei Kamikawa |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Keisuke Maeda |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Takahiro Ogawa |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name |
Miki Haseyama |
| 4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2022-02-21 17:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2022-20, ME2022-45, AIT2022-20 |
| Volume (vol) |
vol.46 |
| Number (no) |
no.6 |
| Page |
pp.103-107 |
| #Pages |
5 |
| Date of Issue |
2022-02-14 (MMS, ME, AIT) |