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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

...Amir Hosein Keyhanipour; Farhad Oroumchian Purpose User feedback inferred from the user's search-time behavior could improve the learning to rank (L2R) algorithms. Click models (CMs) present probabilistic frameworks for describing and predicting the user's clicks during search sessions. Most...

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