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A Brief History of Recommender Systems.

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Tang Tang

Junhua Tang

Fei Tang

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Xinhua Tang

 

Другие публикации лиц с тем же именем

What You Pay for Is What You Get., , , и . DEXA (2), том 8056 из Lecture Notes in Computer Science, стр. 395-409. Springer, (2013)The Price Is Right - Models and Algorithms for Pricing Data., , , , и . DEXA (2), том 8056 из Lecture Notes in Computer Science, стр. 380-394. Springer, (2013)Edit Distance between XML and Probabilistic XML Documents., , , и . DEXA (1), том 6860 из Lecture Notes in Computer Science, стр. 448-456. Springer, (2011)An Efficient Conditioning Method for Probabilistic Relational Databases., , , , и . WAIM, том 8485 из Lecture Notes in Computer Science, стр. 225-236. Springer, (2014)Learning to Retrieve User Behaviors for Click-through Rate Estimation., , , , , , , , , и . ACM Trans. Inf. Syst., 41 (4): 98:1-98:31 (октября 2023)Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning., , , и . CIKM, стр. 4590-4594. ACM, (2022)TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation., , , , , , и . CIKM, стр. 155-164. ACM, (2020)ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop., , , , , и . KDD, стр. 5728-5738. ACM, (2023)On-device Integrated Re-ranking with Heterogeneous Behavior Modeling., , , , , , , и . KDD, стр. 5225-5236. ACM, (2023)MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction., , , , , , и . KDD, стр. 1384-1395. ACM, (2023)