| Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2020: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2019: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2018: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
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| Outline of Final Research Achievements |
In this project, we analyzed why and how users get attracted to some content in SNSs. Namely, we tried to analyze, tell reasons, and even enhance such “attractiveness” in multimedia big data by using deep learning technologies.
We also extend our work on SNS analysis to other areas such as presentation and communication, online advertisement, product package design, apartment recommendation, and so on by collaborating with industry. As a result, we succeeded in publishing a lot of research works that are also useful for industrial applications.
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