Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jingzheng Qin"'
Publikováno v:
KDD
Many modern recommender systems train their models based on a large amount of implicit user feedback data. Due to the inherent bias in this data (e.g., position bias), learning from it directly can lead to suboptimal models. Recently, unbiased learni
Publikováno v:
KDD
It is often desirable to model multiple objectives in real-world web applications, such as user satisfaction and user engagement in recommender systems. Multi-task learning has become the standard approach for such applications recently. While most o
Publikováno v:
WWW (Companion Volume)
Machine-learning (ML) models are ubiquitously used to make a variety of inferences, a common application being to predict and categorize user behavior. However, ML models often suffer from only being exposed to biased data – for instance, a search