Presentation information

Organized Session

Organized Session » OS-12

[1H3-OS-12a] OS-12 (1)

Tue. Jun 9, 2020 1:20 PM - 3:00 PM Room H (jsai2020online-8)

関 喜史(株式会社Gunosy)、安井 翔太(株式会社サイバーエージェント)、福田 宏幸(株式会社 電通)

1:20 PM - 1:40 PM

[1H3-OS-12a-01] Investigation of Higher Order Features for Click Prediction in Image Ads

〇Yusuke Kumagae1, Taku Kuhara1, Kazuhiro Miki2, Naoki Machida3, Haruo Fujiwara1, Ryo Domoto1 (1. Hakuhodo Inc., 2. TechnoPro, Inc., 3. i’s FACTORY co., ltd.)

Keywords:Click Prediction, Advertisement, Image ads, Image Processing

Click prediction of image advertisement is an important task to create more effective ads and successful marketing campaigns. Many existing studies perform click prediction based on features extracted from input images by pre-trained networks to solve image classification tasks. Unlike general images, however, ad images contain more complex contextual information. Therefore, the extracted features may not have sufficient information for such purpose. In this study, we create contextual features obtained by human annotation and another pre-trained network to solve tasks that are oriented on human perception. We investigate how such features contribute to click prediction task by experiments using actual ad impression data.

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