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20192022
most citedBatch-Constrained Distributional Reinforcement Learning for Session-based Recommendation

8 citations · 8 across the 2 of their papers we have counts for

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cs.IR2019

NISER: Normalized Item and Session Representations to Handle Popularity Bias

Priyanka Gupta, Diksha Garg, Pankaj Malhotra +2

The goal of session-based recommendation (SR) models is to utilize the information from past actions (e.g. item/product clicks) in a session to recommend items that a user is likel…