139 citations · 198 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 18 cited
Generative Flow Network for Listwise Recommendation
Shuchang Liu, Qingpeng Cai, Zhankui He +5
Personalized recommender systems fulfill the daily demands of customers and boost online businesses. The goal is to learn a policy that can generate a list of items that matches th…
cs.IR2023★ 41 cited
Exploration and Regularization of the Latent Action Space in Recommendation
Shuchang Liu, Qingpeng Cai, Bowen Sun +7
In recommender systems, reinforcement learning solutions have effectively boosted recommendation performance because of their ability to capture long-term user-system interaction.…
cs.AI2020★ 139 cited
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang, Ding Lyu, Mengjian Li +8
Limited by the time complexity of querying k-hop neighbors in a graph database, most graph algorithms cannot be deployed online and execute millisecond-level inference. This proble…