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SeaRank: relevance prediction based on click models in a reinforcement learning framework

Amir Hosein Keyhanipour, Farhad Oroumchian

Data Technologies and Applications (2023) 57 (4): 465–488.

https://doi.org/10.1108/DTA-01-2022-0001

Published: 08 September 2022

... temporal difference (TD) learning algorithms, such as Q-learning and SARSA, the learning agent gradually learns to identify an appropriate relevance label in each state. The reward that is used in the RL agent is proportional to the difference between the User Satisfaction and the selected action...

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