人工知能学会全国大会論文集
Online ISSN : 2758-7347
34th (2020)
セッションID: 2K5-ES-2-05
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Realization of video creative for View Through Rate prediction
*Tsogtbayar NANZADDORJ
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会議録・要旨集 フリー

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With an increase in usage of social network and various online services, Digital Marketing is getting popular for businesses to reach customers. One of the challenge to reach as many as potential customers, and turn them to use their services or let them buy their product. VTR or View Through Rate is an indicator that shows how efficient the strategy was for a creative. This work is to find what features of video result to higher VTR. It is said that first few seconds of a video are important for VTR result. Data is based on Facebook creative videos and VTR value.

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© 2020 The Japanese Society for Artificial Intelligence
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