AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction
Lei Sang,
Honghao Li,
Yiwen Zhang
et al.
Abstract:The goal of click-through rate (CTR) prediction in recommender systems is to effectively work with input features. However, existing CTR prediction models face three main issues. First, many models use a basic approach for feature combinations, leading to noise and reduced accuracy. Second, there is no consideration for the varying importance of features in different interaction orders, affecting model performance. Third, current model architectures struggle to capture different interaction signals from variou… Show more
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