Coarse-to-fine: A dual-view attention network for click-through rate prediction

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.106767 ◽

2021 ◽

Vol 216 ◽

pp. 106767

Author(s):

Kaitao Song ◽

Qingkang Huang ◽

Fa-en Zhang ◽

Jianfeng Lu

Keyword(s):

Attention Network ◽

Rate Prediction ◽

Click Through Rate ◽

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Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval ◽

10.1145/3397271.3401310 ◽

2020 ◽

Author(s):

Weinan Xu ◽

Hengxu He ◽

Minshi Tan ◽

Yunming Li ◽

Jun Lang ◽

...

Keyword(s):

Attention Network ◽

Rate Prediction ◽

Click Through Rate ◽

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Click-through rate prediction with the user memory network

Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data ◽

10.1145/3326937.3341258 ◽

2019 ◽

Author(s):

Wentao Ouyang ◽

Xiuwu Zhang ◽

Shukui Ren ◽

Li Li ◽

Zhaojie Liu ◽

...

Keyword(s):

Rate Prediction ◽

Memory Network ◽

Click Through Rate

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CFGAT: A Coarse-to-Fine Graph Attention Network for Semi-supervised Node Classification

2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) ◽

10.1109/ictai50040.2020.00158 ◽

2020 ◽

Author(s):

Dongmei Cui ◽

Fusheng Jin ◽

Rong-Hua Li ◽

Guoren Wang

Keyword(s):

Attention Network ◽

Node Classification ◽

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User Behavior Retrieval for Click-Through Rate Prediction

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval ◽

10.1145/3397271.3401440 ◽

2020 ◽

Author(s):

Jiarui Qin ◽

Weinan Zhang ◽

Xin Wu ◽

Jiarui Jin ◽

Yuchen Fang ◽

...

Keyword(s):

User Behavior ◽

Rate Prediction ◽

Click Through Rate

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Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining ◽

10.1145/3394486.3403137 ◽

2020 ◽

Author(s):

Qingquan Song ◽

Dehua Cheng ◽

Hanning Zhou ◽

Jiyan Yang ◽

Yuandong Tian ◽

...

Keyword(s):

Neural Interaction ◽

Rate Prediction ◽

Click Through Rate

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Research on Advertising Click-Through Rate Prediction Based on CNN-FM Hybrid Model

2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) ◽

10.1109/ihmsc.2018.10119 ◽

2018 ◽

Author(s):

Xiangyang She ◽

Shaopeng Wang

Keyword(s):

Hybrid Model ◽

Rate Prediction ◽

Click Through Rate

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Optimizing Field-Aware Factorization Machine with Particle Swarm Optimization on Online Ads Click-through Rate Prediction

2018 3rd International Conference on Computer and Communication Systems (ICCCS) ◽

10.1109/ccoms.2018.8463219 ◽

2018 ◽

Author(s):

Michael Reynaldo Phangtriastu ◽

Sani Muhamad Isa

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Rate Prediction ◽

Factorization Machine ◽

Click Through Rate

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Exploring Content-based Video Relevance for Video Click-Through Rate Prediction

Proceedings of the 27th ACM International Conference on Multimedia ◽

10.1145/3343031.3356053 ◽

2019 ◽

Author(s):

Xun Wang ◽

Yali Du ◽

Leimin Zhang ◽

Xirong Li ◽

Miao Zhang ◽

...

Keyword(s):

Rate Prediction ◽

Click Through Rate

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AIM: Automatic Interaction Machine for Click-Through Rate Prediction

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2021.3134985 ◽

2021 ◽

pp. 1-1

Author(s):

Chenxu Zhu ◽

Bo Chen ◽

Weinan Zhang ◽

Jincai Lai ◽

Ruiming Tang ◽

...

Keyword(s):

Rate Prediction ◽

Click Through Rate

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Optimally Connected Deep Belief Net for Click Through Rate Prediction in Online Advertising

IEEE Access ◽

10.1109/access.2018.2861429 ◽

2018 ◽

Vol 6 ◽

pp. 43009-43020 ◽

Author(s):

Rongbin Xu ◽

Menglong Wang ◽

Ying Xie

Keyword(s):

Online Advertising ◽

Rate Prediction ◽

Deep Belief Net ◽

Click Through Rate

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