most citedMulti-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems

51 citations · 51 across the 1 of their papers we have counts for

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cs.IR2022★ 51 cited

Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems

Qihua Zhang, Junning Liu, Yuzhuo Dai +5

Recommender System (RS) is an important online application that affects billions of users every day. The mainstream RS ranking framework is composed of two parts: a Multi-Task Lear…