22 citations · 85 across the 16 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.IR2019★ 1 cited
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
Wen Chen, Pipei Huang, Jiaming Xu +7
Increasing demand for fashion recommendation raises a lot of challenges for online shopping platforms and fashion communities. In particular, there exist two requirements for fashi…
cs.IR2019★ 14 cited
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation
Yong Liu, Yinan Zhang, Qiong Wu +5
Interactive recommendation that models the explicit interactions between users and the recommender system has attracted a lot of research attentions in recent years. Most previous…
cs.LG2019★ 4 cited
Deep Bayesian Multi-Target Learning for Recommender Systems
Qi Wang, Zhihui Ji, Huasheng Liu +1
With the increasing variety of services that e-commerce platforms provide, criteria for evaluating their success become also increasingly multi-targeting. This work introduces a mu…