Paper Notes: Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommenda

时间 2020-12-30

标签 RECOMMENDER SYSTEM 深度学习神经网络数据挖掘机器学习繁體版

原文原文链接

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation LINK: https://doi.org/10.24963/ijcai.2019/585 CLASSIFICATION: RECOMMENDER-SYSTEM, SEQUENTIAL RECOMMENDER, LO

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1. Paper Notes: IntentGC
2. Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction
3. #Paper Reading# RippleNet: Propagating User Preferences on the KG for Recommender Systems
4. Paper Notes: Gemini
5. Random Walk and Personalized Pagerank
6. 笔记：《Transparent, Scrutable and Explainable User Models for Personalized Recommendation》
7. [论文笔记]FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
8. Paper Notes of CVPR-0085
9. Paper Notes of CVPR-0313
10. Paper Notes: Graph Attention Networks

>>更多相关文章<<