87 citations · 212 across the 5 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.IR2021★ 1 cited
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System
Kai Wang, Zhene Zou, Minghao Zhao +7
Reinforcement learning based recommender systems (RL-based RS) aim at learning a good policy from a batch of collected data, by casting recommendations to multi-step decision-makin…
cs.IR2021★ 14 cited
Intent Disentanglement and Feature Self-supervision for Novel Recommendation
Tieyun Qian, Yile Liang, Qing Li +3
One key property in recommender systems is the long-tail distribution in user-item interactions where most items only have few user feedback. Improving the recommendation of tail i…
cs.IR2021★ 41 cited
Recommending Accurate and Diverse Items Using Bilateral Branch Network
Yile Liang, Tieyun Qian
Recommender systems have played a vital role in online platforms due to the ability of incorporating users' personal tastes. Beyond accuracy, diversity has been recognized as a key…