2020年度 人工知能学会全国大会(第34回)

講演情報

国際セッション

国際セッション » E-2 Machine learning

[2K5-ES-2] Machine learning: Multimedia

2020年6月10日(水) 15:50 〜 17:30 K会場 (jsai2020online-11)

座長:柴田祐樹(東京都立大学)

17:10 〜 17:30

[2K5-ES-2-05] Realization of video creative for View Through Rate prediction

〇Tsogtbayar Nanzaddorj1,2 (1. Dentsu Inc., 2. Data Artist Inc.)

キーワード:prediction, convolutional neural network, video through rate, digital marketing

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.

講演PDFパスワード認証
論文PDFの閲覧にはログインが必要です。参加登録者の方は「参加者用ログイン」画面からログインしてください。あるいは論文PDF閲覧用のパスワードを以下にご入力ください。

パスワード