| Paper Abstract and Keywords |
| Presentation |
2019-02-20 11:45
A Note on Twitter Followee Recommendation Based on Adaptive Integration of Multiple Classification Results
Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper presents a recommendation method of users who are expected to be followed by a target user in Twitter. The proposed method enables accurate followee recommendation by collaboratively using features based on following relations among users and texts and images in their tweets. Specifically, by constructing classifiers for each feature, the proposed method can output degrees that represent target user's interest in a followee candidate. Furthermore, by adaptively integrating the outputs from each classifier through multi-layer perceptron, the followee candidate who a target user has the highest degree of interest in can be accurately recommended. Finally, we confirm the effectiveness of the proposed method via experiments using the real-world Twitter dataset. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Twitter / Field-aware Factorization Machines / Followee Recommendation / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 43, no. 5, ME2019-57, pp. 307-310, Feb. 2019. |
| Paper # |
ME2019-57 |
| Date of Issue |
2019-02-12 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME IEICE-IE IEICE-ITS MMS HI AIT |
| Conference Date |
2019-02-19 - 2019-02-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2019-02-ME-IE-ITS-MMS-HI-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Note on Twitter Followee Recommendation Based on Adaptive Integration of Multiple Classification Results |
| Sub Title (in English) |
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| Keyword(1) |
Twitter |
| Keyword(2) |
Field-aware Factorization Machines |
| Keyword(3) |
Followee Recommendation |
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| 1st Author's Name |
Shoji Takimura |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Ryosuke Harakawa |
| 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 |
2019-02-20 11:45:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2019-35, HI2019-35, ME2019-57, AIT2019-35 |
| Volume (vol) |
vol.43 |
| Number (no) |
no.5 |
| Page |
pp.307-310 |
| #Pages |
4 |
| Date of Issue |
2019-02-12 (MMS, HI, ME, AIT) |
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