+
PDF
Chat
|
Product-Based Neural Networks for User Response Prediction
|
2016
|
Yanru Qu
Han Cai
Kan Ren
Weinan Zhang
Yong Yu
Ying Wen
Jun Wang
|
7
|
+
|
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
|
2017
|
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
|
7
|
+
|
Wide & Deep Learning for Recommender Systems
|
2016
|
Heng-Tze Cheng
Levent Koç
Jeremiah Harmsen
Tal Shaked
Tushar Chandra
Hrishi Aradhye
Glen Anderson
Greg S. Corrado
Wei Koong Chai
Mustafa Ispir
|
7
|
+
PDF
Chat
|
Deep Interest Network for Click-Through Rate Prediction
|
2018
|
Guorui Zhou
Xiaoqiang Zhu
Chenru Song
Ying Fan
Zhu Han
Xiao Ma
Yanghui Yan
Junqi Jin
Han Li
Kun Gai
|
6
|
+
|
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
|
2018
|
Junwei Pan
Jian Xu
Alfonso Lobos Ruiz
Wenliang Zhao
Shengjun Pan
Sun Yu
Quan Lu
|
5
|
+
PDF
Chat
|
Neural Factorization Machines for Sparse Predictive Analytics
|
2017
|
Xiangnan He
Tat‐Seng Chua
|
4
|
+
PDF
Chat
|
Improved Recurrent Neural Networks for Session-based Recommendations
|
2016
|
Yong Tan
Xinxing Xu
Yong Liu
|
3
|
+
|
Neural Machine Translation by Jointly Learning to Align and Translate
|
2015
|
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
|
3
|
+
|
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
|
2014
|
Jun‐Young Chung
Çaǧlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
|
3
|
+
|
Distributed Representations of Words and Phrases and their Compositionality
|
2013
|
Tomáš Mikolov
Ilya Sutskever
Kai Chen
Greg S. Corrado
Jeffrey Dean
|
3
|
+
|
Distributed Representations of Words and Phrases and their Compositionality
|
2013
|
Tomáš Mikolov
Ilya Sutskever
Kai Chen
Greg S. Corrado
Jay B. Dean
|
3
|
+
|
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
|
2014
|
Yuyu Zhang
Hanjun Dai
Chang Xu
Jun Feng
Taifeng Wang
Jiang Bian
Bin Wang
Tie‐Yan Liu
|
3
|
+
|
Neural Turing Machines
|
2014
|
Alex Graves
Greg Wayne
Ivo Danihelka
|
2
|
+
|
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
|
2017
|
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
|
2
|
+
PDF
Chat
|
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
|
2020
|
Hong Wen
Jing Zhang
Yuan Wang
Fuyu Lv
Wentian Bao
Quan Lin
Keping Yang
|
2
|
+
|
Product-based Neural Networks for User Response Prediction
|
2016
|
Yanru Qu
Han Cai
Kan Ren
Weinan Zhang
Yong Yu
Ying Wen
Jun Wang
|
2
|
+
PDF
Chat
|
Optimized Cost per Click in Taobao Display Advertising
|
2017
|
Han Zhu
Junqi Jin
Chang Tan
Fei Pan
Yifan Zeng
Han Li
Kun Gai
|
2
|
+
PDF
Chat
|
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction
|
2019
|
Wentao Ouyang
Xiuwu Zhang
Li Li
Heng Zou
Xin Xing
Zhaojie Liu
Yanlong Du
|
2
|
+
|
Neural Machine Translation by Jointly Learning to Align and Translate
|
2014
|
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
|
2
|
+
|
Estimating rates of rare events with multiple hierarchies through scalable log-linear models
|
2010
|
Deepak Agarwal
Rahul Agrawal
Rajiv Khanna
Nagaraj Kota
|
2
|
+
PDF
Chat
|
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
|
2021
|
Hong Wen
Jing Zhang
Fuyu Lv
Wentian Bao
Tianyi Wang
Zulong Chen
|
2
|
+
PDF
Chat
|
Deep Interest Evolution Network for Click-Through Rate Prediction
|
2019
|
Guorui Zhou
Na Mou
Ying Fan
Qi Pi
Weijie Bian
Chang Zhou
Xiaoqiang Zhu
Kun Gai
|
2
|
+
PDF
Chat
|
Learning and Transferring IDs Representation in E-commerce
|
2018
|
Kui Zhao
Yuechuan Li
Zhaoqian Shuai
Cheng Yang
|
2
|
+
|
Representation Learning-Assisted Click-Through Rate Prediction
|
2019
|
Wentao Ouyang
Xiuwu Zhang
Shukui Ren
Chao Qi
Zhaojie Liu
Yanlong Du
|
2
|
+
PDF
Chat
|
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant
|
2019
|
Yu Gong
Xusheng Luo
Yu Zhu
Wenwu Ou
Zhao Li
Muhua Zhu
Kenny Q. Zhu
Lu Duan
Xi Chen
|
2
|
+
|
Higher-Order Factorization Machines
|
2016
|
Mathieu Blondel
Akinori Fujino
Naonori Ueda
Masakazu Ishihata
|
2
|
+
|
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
|
2020
|
Wentao Ouyang
Xiuwu Zhang
Lei Zhao
Jinmei Luo
Yu Zhang
Heng Zou
Zhaojie Liu
Yanlong Du
|
1
|
+
PDF
Chat
|
CoNet
|
2018
|
Guangneng Hu
Yu Zhang
Qiang Yang
|
1
|
+
PDF
Chat
|
AutoInt
|
2019
|
Weiping Song
Chence Shi
Zhiping Xiao
Zhijian Duan
Yewen Xu
Ming Zhang
Jian Tang
|
1
|
+
PDF
Chat
|
User Behavior Retrieval for Click-Through Rate Prediction
|
2020
|
Jiarui Qin
Weinan Zhang
Xin Wu
Jiarui Jin
Yuchen Fang
Yong Yu
|
1
|
+
PDF
Chat
|
Contrastive Learning for Sequential Recommendation
|
2022
|
Xu Xie
Fei Sun
Zhaoyang Liu
Shiwen Wu
Jinyang Gao
Jiandong Zhang
Bolin Ding
Bin Cui
|
1
|
+
PDF
Chat
|
Self-supervised Graph Learning for Recommendation
|
2021
|
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
|
1
|
+
PDF
Chat
|
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation
|
2021
|
Siyuan Guo
Lixin Zou
Yiding Liu
Wenwen Ye
Suqi Cheng
Shuaiqiang Wang
Hechang Chen
Dawei Yin
Yi Chang
|
1
|
+
PDF
Chat
|
SimCSE: Simple Contrastive Learning of Sentence Embeddings
|
2021
|
Tianyu Gao
Xingcheng Yao
Danqi Chen
|
1
|
+
|
Self-supervised Learning for Large-scale Item Recommendations
|
2021
|
Tiansheng Yao
Xinyang Yi
Derek Zhiyuan Cheng
Felix Yu
Ting Chen
Aditya Krishna Menon
Lichan Hong
Ed H.
Steve Tjoa
Jieqi Kang
|
1
|
+
PDF
Chat
|
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation
|
2022
|
Zixuan Xu
Penghui Wei
Weimin Zhang
Shaoguo Liu
Liang Wang
Bo Zheng
|
1
|
+
PDF
Chat
|
Hypergraph Contrastive Collaborative Filtering
|
2022
|
Lianghao Xia
Chao Huang
Yong Xu
Jiashu Zhao
Dawei Yin
Jimmy Xiangji Huang
|
1
|
+
PDF
Chat
|
MetaCVR
|
2022
|
Xiaofeng Pan
Ming Li
Jing Zhang
Keren Yu
Hong Wen
Luping Wang
Chengjun Mao
Bo Cao
|
1
|
+
PDF
Chat
|
Adaptive Domain Interest Network for Multi-domain Recommendation
|
2022
|
Yuchen Jiang
Qi Li
Zhu Han
Jinbei Yu
Jin Li
Ziru Xu
Huihui Dong
Bo Zheng
|
1
|
+
PDF
Chat
|
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction
|
2022
|
Xuanhua Yang
Xiaoyu Peng
Penghui Wei
Shaoguo Liu
Liang Wang
Bo Zheng
|
1
|
+
|
Supervised Contrastive Learning
|
2020
|
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
|
1
|
+
|
Incremental Few-Shot Object Detection
|
2020
|
Juan-Manuel Pérez-Rúa
Xiatian Zhu
Timothy M. Hospedales
Tao Xiang
|
1
|
+
|
Graph Attention Networks
|
2017
|
Petar Veličković
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Píetro Lió
Yoshua Bengio
|
1
|
+
|
Deep Meta Learning for Real-Time Target-Aware Visual Tracking
|
2017
|
Janghoon Choi
Junseok Kwon
Kyoung Mu Lee
|
1
|
+
|
Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms
|
2014
|
Hai Thanh Nguyen
Jérémie Mary
Pierre‐Marie Preux
|
1
|
+
|
Pattern Recognition and Machine Learning
|
2007
|
Christopher Bishop
|
1
|
+
PDF
Chat
|
Multi-Task Recommendations with Reinforcement Learning
|
2023
|
Ziru Liu
Jiejie Tian
Qingpeng Cai
Xiangyu Zhao
Jingtong Gao
Shuchang Liu
Dayou Chen
Tonghao He
Dong Zheng
Peng Jiang
|
1
|
+
|
Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms
|
2014
|
Nguyễn Thanh Hải
Jérémie Mary
Pierre‐Marie Preux
|
1
|
+
PDF
Chat
|
Image-Based Recommendations on Styles and Substitutes
|
2015
|
Julian McAuley
Christopher Targett
Qinfeng Shi
Anton van den Hengel
|
1
|
+
PDF
Chat
|
A contextual-bandit approach to personalized news article recommendation
|
2010
|
Lihong Li
Wei Chu
John Langford
Robert E. Schapire
|
1
|