Super-Light Recommendation for Social Media on Mobile Terminal
| Project/Area Number |
25330132
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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 |
Multimedia database
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| Research Institution | Onomichi City University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2015: ¥130,000 (Direct Cost: ¥100,000、Indirect Cost: ¥30,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | レコメンデーション / 携帯端末 / スマートフォン / iPhone / Android / プログラミング方式 / ユーザ限定 |
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| Outline of Final Research Achievements |
When we carry out special light recommendation for social media on mobile terminal, the most adequate method is to recommend based on communication on '(1) community site provided with item seller company seen in such as convenience store 'L' company or fast food 'M' company'. We should recommend a corresponding item toward user who has given a favourable response including 'like'. On the other hand, in the case of recommendation based on '(2) community site provided with a human including excepting item seller company', it is not easy to limit a certain item concretely. Even if we carry out various inventions, its preciseness is inferior to in the case of (1).
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Report
(4 results)
Research Products
(5 results)
