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First, a description of background research. Reinforcement learning is a method of learning by interacting with agents and the environment. It learns a policy that determines action in a specific state. Personal preference learning for many studies that were conducted. Learned personal preferences are primarily used in marketing and advertising. This is a big paradigm that can be divided into two. One is a content-based recommendation. It is a method of recommending items that the user liked in the past. The other is a collaborative recommendation. It identifies users similar to those preferred by the user. Some features of existing studies probabilistic models, Bayesian or neural networks, decision trees of machine learning methods shall be used. |
IEEE/ICACT20220065 Slide.02
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