Presentation 2018-10-19
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) CyberAgent AI Lab is developing technology to assist and automate creative workflows for advertising expressions such as banner images, videos, or copy texts. In digital advertising market, it is crucial for ad agencies to create high-quality ad creative at massive scale. In this work, we present our approach of utilizing machine learning techniques to assist designers' workflow and click prediction.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Ad creative / Click prediction / Image Generation
Paper # PRMU2018-70
Date of Issue 2018-10-12 (PRMU)

Conference Information
Committee PRMU
Conference Date 2018/10/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinichi Sato(NII)
Vice Chair Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.)
Secretary Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.)
Assistant Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language JPN-ONLY
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English)
Sub Title (in English)
Keyword(1) Ad creative
Keyword(2) Click prediction
Keyword(3) Image Generation
1st Author's Name
1st Author's Affiliation ()
Date 2018-10-19
Paper # PRMU2018-70
Volume (vol) vol.118
Number (no) PRMU-260
Page pp.pp.11-11(PRMU),
#Pages 1
Date of Issue 2018-10-12 (PRMU)