06-24

TransNets - Learning to Transform for Recommendation

06-10

Joint Deep Modeling of Users and Items Using Reviews for Recommendation

05-27

Embedding-based News Recommendation for Millions of Users

05-13

Outer Product-based Neural Collaborative Filtering

04-29

NAIS - Neural Attentive Item Similarity Model for Recommendation

04-17

DKN, Deep Knowledge-Aware Network for News Recommendation

03-18

Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm

02-10

Leverage Long and Short-term Information in Content-aware Movie Recommendation

01-21

ATRank, An Attention-based User Behavior Modeling Framework for Recommendation

01-07

Long and Short-Term Recommendations with RNNs

12-24

Recurrent Recommender Networks

12-09

RNNs in Sequential Recommender Systems

11-25

Ask the GRU, Multi-task Learning for Deep Text Recommendations

11-11

Session-based Recommendations with Recurrent Neural Networks

10-28

Opinion Recommendation using Neural Memory Model

10-14

Low-rank Linear Cold-Start Recommendation from Social Data

09-30

基于深度学习的混合协同过滤模型在推荐系统中的应用

09-16

跨领域推荐系统，Item Silk Road

04-22

Matrix and Tensor Factorization Techniques

11-12

Code Recommendation Project