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Publication search results
found 8 matches
- 2019
- Paolo Cremonesi:
A pragmatic and industry-aware approach toward the design of on-line recommender systems. ORSUM@RecSys 2019: 1 - Sonya Liberman, Shaked Bar, Raphael Vannerom, Danny Rosenstein, Ronny Lempel:
Search-Based Serving Architecture of Embeddings-Based Recommendations. ORSUM@RecSys 2019: 12-20 - Babak Loni, Anne Schuth, Lucas van de Haas, Jeroen Jansze, Vasco Visser, Marlies van der Wees:
Personalized Push Notifications for News Recommendation. ORSUM@RecSys 2019: 36-45 - Ladislav Peska, Stepán Balcar:
Fuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation. ORSUM@RecSys 2019: 2-11 - Miguel Sozinho Ramalho, João Vinagre, Alípio Mário Jorge, Rafaela Bastos:
Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors. ORSUM@RecSys 2019: 21-35 - Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Kuang-chih Lee, Hao Wang:
Optimal Delivery with Budget Constraint in E-Commerce Advertising. ORSUM@RecSys 2019: 46-58 - Musen Wen, Zhen Xia, Deepak Kumar Vasthimal:
Practical Lessons from Predicting New User Demographics for Ad Targeting. ORSUM@RecSys 2019: 59-67 - João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein:
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark. Proceedings of Machine Learning Research 109, PMLR 2019 [contents]
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