most citedDeveloping Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 2 cited

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning

Xi Liu, Li Li, Ping-Chun Hsieh +3

With the explosive growth of online products and content, recommendation techniques have been considered as an effective tool to overcome information overload, improve user experie…

cs.LG2018

Streaming Network Embedding through Local Actions

Xi Liu, Ping-Chun Hsieh, Nick Duffield +3

Recently, considerable research attention has been paid to network embedding, a popular approach to construct feature vectors of vertices. Due to the curse of dimensionality and sp…