A Convolutional Click Prediction Model

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	A Convolutional Click Prediction Model
	Liu, Qiang; Yu, Feng; Wu, Shu; Wang, Liang
	2015
会议名称	ACM International Conference on Information and Knowledge Management (CIKM)
会议录名称	In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), 2015
会议日期	Oct 24-28
会议地点	Melbourne
摘要	The explosion in online advertisement urges to better estimate the click prediction of ads. For click prediction on single ad impression, we have access to pairwise relevance among elements in an impression, but not to global interaction among key features of elements. Moreover, the existing method on sequential click prediction treats propagation unchangeable for different time intervals. In this work, we propose a novel model, Convolutional Click Prediction Model (CCPM), based on convolution neural network. CCPM can extract local-global key features from an input instance with varied elements, which can be implemented for not only single ad impression but also sequential ad impression. Experiment results on two public large-scale datasets indicate that CCPM is effective on click prediction.
关键词	Click Prediction Convolution Neural Network
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12337
专题	智能感知与计算研究中心
通讯作者	Wu, Shu
作者单位	Institute of Automation, Chinese Academy of Sciences
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Liu, Qiang,Yu, Feng,Wu, Shu,et al. A Convolutional Click Prediction Model[C],2015.

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