Douban
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/1bf2fe55-f695-4f84-90df-9800d8f96c73
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资源简介：
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.
提供机构：
TIB
创建时间：
2024-12-02
