A Study on Followee Recommendation based on Visualization of Impressions from Tweets
| Project/Area Number |
26330347
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | Chiba Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
灘本 明代 甲南大学, 知能情報学部, 教授 (30359103)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | フォロイー推薦 / 印象選好 / 印象可視化 / マイクロブログ / ツイート印象 / 印象推定 / ツイッター / Twitter / 印象軸 / 可視化 |
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| Outline of Final Research Achievements |
Twitter is endorsed by a variety of ages as a means of obtaining interesting and/or valuable information. On Twitter, a user follows other users to read the tweets which they posted. This results in a fact that the user can enrich her/his timeline by following the other users who have the same interests or hobbies with her/him. However, since there are a vast number of users on Twitter, it is a daunting task to find users to follow out of them. This study, therefore, proposed a method for recommending as users to follow the users who tweet about the same topics with a target user and have the same or similar emotional attitude about the topics.
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Report
(4 results)
Research Products
(21 results)
