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ORCIDORSUM@RecSys 2020: Virtual Event, Brazil
- João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020. CEUR Workshop Proceedings 2715, CEUR-WS.org 2020
Keynote
- Sebastian Schelter:
Three Challenges in Building Industrial-Scale Recommender Systems.
Long papers
- Vineeth Rakesh, Ajith Pudiyavitil, Jaideep Chandrashekar:
User Modeling and Churn Prediction in Over-the-top Media Services. - Jean-Philippe Corbeil, Florent Daudens:
Deploying a Cost-Effective and Production-Ready Deep News Recommender System in the Media Crisis Context. - Murilo Falleiros Lemos Schmitt, Eduardo Jaques Spinosa:
Incremental Graph of Sequential Interactions for Online Recommendation with Implicit Feedback. - Lele Cao
, Sahar Asadi, Matteo Biasielli, Michael Sjöberg:
Debiasing Few-Shot Recommendation in Mobile Games.
Short papers
- Saurabh Gupta, Bharathan Balaji, Runfei Luo:
CPR: Collaborative Pairwise Ranking for Online List Recommendations. - Qiang Cui, Tao Wei, Yafeng Zhang, Qing Zhang:
HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation. - Lucas Bernardi, Pablo Estevez, Matias Eidis, Eqbal Osama:
Recommending Accommodation Filters with Online Learning. - Josef Florian, Jakub Drdák, Radek Tomsu, Karel Koupil, Václav Blahut, Jaroslav Kuchar, Michal Rehor:
Combining Models for Better User Satisfaction in Video Recommendation.
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