most citedRL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems

8 citations · 8 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2023★ 8 cited

RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems

Jiahong Zhou, Shunhui Mao, Guoliang Yang +5

Recommender systems aim to recommend the most suitable items to users from a large number of candidates. Their computation cost grows as the number of user requests and the complex…