Calibrating User Response Predictions in Online Advertising

von Deng, Chao
Veröffentlicht in ECML/PKDD (2020 : Online) Machine learning and knowledge discovery in databases ; part 4: Applied data science track (2021)

LEARNING OPTIMAL TREE MODELS UNDER BEAM SEARCH

von Zhuo, Jingwei
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 15 of 15 (2021)

JOINT OPTIMIZATION OF TREE-BASED INDEX AND DEEP MODEL FOR RECOMMENDER SYSTEMS

von Zhu, Han
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 5 of 20 (2020)

SEQUENTIAL ADVERTISING AGENT WITH INTERPRETABLE USER HIDDEN INTENTS

von Peng, Zhaoqing
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 3 of 3 (2021)

DYNAMIC KNAPSACK OPTIMIZATION TOWARDS EFFICIENTMULTI-CHANNEL SEQUENTIAL ADVERTISING

von Hao, Xiaotian
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)