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Douban

Click-Through Rate (CTR) prediction plays a core role in recommender systems, serving as the final-stage filter to rank items for a user. The key to addressing the CTR task is learning feature interactions that are useful for prediction, which is typically achieved by fitting historical click data with the Empirical Risk Minimization (ERM) paradigm.

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Cite this as

Hao Ma, Dengyong Zhou, Chao Liu, Michael R Lyu, Irwin King (2024). Dataset: Douban. https://doi.org/10.57702/txqtf7eg

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.1145/3397271.3401116
Citation	https://doi.org/10.1145/3539618.3591755
Author	Hao Ma
More Authors	Dengyong Zhou Chao Liu Michael R Lyu Irwin King
Homepage	https://grouplens.org/datasets/douban/