Web: http://arxiv.org/abs/2205.02711

May 6, 2022, 1:10 a.m. | Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei

cs.CV updates on arXiv.org arxiv.org

User historical behaviors are proved useful for Click Through Rate (CTR)
prediction in online advertising system. In Meituan, one of the largest
e-commerce platform in China, an item is typically displayed with its image and
whether a user clicks the item or not is usually influenced by its image, which
implies that user's image behaviors are helpful for understanding user's visual
preference and improving the accuracy of CTR prediction. Existing user image
behavior models typically use a two-stage architecture, which …

arxiv attention cnn cv hybrid image modeling prior

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