End-to-End User Behavior Retrieval in Click-Through Rate Prediction Model

Click-Through Rate (CTR) prediction is one of the core tasks in recommender systems (RS). It predicts a personalized click probability for each user-item pair.

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Cite this as

Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, Wenwu Ou (2024). Dataset: End-to-End User Behavior Retrieval in Click-Through Rate Prediction Model. https://doi.org/10.57702/3d39451c

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Qiwei Chen
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Changhua Pei
Shanshan Lv
Chao Li
Junfeng Ge
Wenwu Ou
Homepage https://doi.org/10.1145/nnnnnnn.nnnnnnn