arXiv:1809.03672
공식 코드 · Papers with Code
Deep Interest Evolution Network for Click-Through Rate Prediction
원문 초록
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
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Feature Staleness Aware Incremental Learning for CTR Prediction
Generative Click-through Rate Prediction with Applications to Search Advertising
v-TCM: Vertical-aware Transformer Click Model for Web Search
TiSASRec: Time Interval Aware Self-Attention for Sequential Recommendation
Deep Neural Networks for YouTube Recommendations
Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins
토론
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