Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling

Feng Liu, Ruiming Tang, Xutao Li +5

Recommendation is crucial in both academia and industry, and various techniques are proposed such as content-based collaborative filtering, matrix factorization, logistic regressio…