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Wide & Deep Learning for Recommender Systems

Wide & Deep Learning for Recommender Systems

24 June 2016
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
H. Aradhye
Glen Anderson
G. Corrado
Wei Chai
M. Ispir
Rohan Anil
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
    HAI
    VLM
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Papers citing "Wide & Deep Learning for Recommender Systems"

15 / 915 papers shown
Title
Cascade Ranking for Operational E-commerce Search
Cascade Ranking for Operational E-commerce Search
Shichen Liu
Fei Xiao
Wenwu Ou
Luo Si
9
88
0
07 Jun 2017
Representation Learning and Pairwise Ranking for Implicit Feedback in
  Recommendation Systems
Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems
Sumit Sidana
Mikhail Trofimov
Oleh Horodnytskyi
Charlotte Laclau
Yury Maximov
Massih-Reza Amini
FedML
22
23
0
29 Apr 2017
Learning from Multi-View Multi-Way Data via Structural Factorization
  Machines
Learning from Multi-View Multi-Way Data via Structural Factorization Machines
Chun-Ta Lu
Lifang He
Hao Ding
Bokai Cao
Philip S. Yu
20
16
0
10 Apr 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
14
2,607
0
13 Mar 2017
Customer Lifetime Value Prediction Using Embeddings
Customer Lifetime Value Prediction Using Embeddings
B. Chamberlain
Ângelo Cardoso
C. H. B. Liu
Roberto Pagliari
M. Deisenroth
6
84
0
07 Mar 2017
Optimized Cost per Click in Taobao Display Advertising
Optimized Cost per Click in Taobao Display Advertising
Han Zhu
Junqi Jin
Chang Tan
Fei Pan
Yifan Zeng
Han Li
Kun Gai
21
136
0
27 Feb 2017
A Probabilistic Framework for Location Inference from Social Media
A Probabilistic Framework for Location Inference from Social Media
Yujie Qian
Jie Tang
Zhilin Yang
Binxuan Huang
Wei Wei
Kathleen M. Carley
13
19
0
23 Feb 2017
Differential Geometric Retrieval of Deep Features
Differential Geometric Retrieval of Deep Features
Y. Qian
E. Vazquez
B. Sengupta
14
3
0
21 Feb 2017
Iterative Multi-document Neural Attention for Multiple Answer Prediction
Iterative Multi-document Neural Attention for Multiple Answer Prediction
Claudio Greco
Alessandro Suglia
Pierpaolo Basile
Gaetano Rossiello
Giovanni Semeraro
13
3
0
08 Feb 2017
TF.Learn: TensorFlow's High-level Module for Distributed Machine
  Learning
TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning
Yuan Tang
13
67
0
13 Dec 2016
Time Series Classification from Scratch with Deep Neural Networks: A
  Strong Baseline
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang
Weizhong Yan
Tim Oates
AI4TS
16
1,628
0
20 Nov 2016
Meta-Prod2Vec - Product Embeddings Using Side-Information for
  Recommendation
Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation
Flavian Vasile
E. Smirnova
Alexis Conneau
VLM
14
262
0
25 Jul 2016
Hybrid Recommender System based on Autoencoders
Hybrid Recommender System based on Autoencoders
Florian Strub
Romaric Gaudel
Jérémie Mary
22
219
0
24 Jun 2016
Picture It In Your Mind: Generating High Level Visual Representations
  From Textual Descriptions
Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
F. Carrara
Andrea Esuli
T. Fagni
Fabrizio Falchi
Alejandro Moreo
DiffM
14
31
0
23 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Z. Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
31
18,252
0
27 May 2016
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