CASIA OpenIR  > 智能感知与计算研究中心
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
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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