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Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling. (arXiv:2205.02711v1 [cs.CV])
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 …
More from arxiv.org / cs.CV updates on arXiv.org
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