Unifying Nearest Neighbors Collaborative Filtering
Proceedings of the 8th ACM Conference on Recommender Systems, 177-184
Pessimistic reward models for off-policy learning in recommendation
Proceedings of the 15th ACM Conference on Recommender Systems, 63-74
Top-n recommendation for shared accounts
Proceedings of the 9th ACM Conference on Recommender Systems, 59-66
Collaborative Filtering for Binary, Positiveonly Data
ACM SIGKDD Explorations Newsletter 19 (1), 1-21
Recpack: An (other) experimentation toolkit for top-n recommendation using implicit feedback data
Proceedings of the 16th ACM Conference on Recommender Systems, 648-651
Fair Offline Evaluation Methodologies for Implicit-Feedback Recommender Systems with MNAR Data
The 1st International Workshop on Offline Evaluation for Recommender Systems...
Closed-form models for collaborative filtering with side-information
Proceedings of the 14th ACM Conference on Recommender Systems, 651-656
Pessimistic decision-making for recommender systems
ACM Transactions on Recommender Systems 1 (1), 1-27
Are we forgetting something? Correctly evaluate a recommender system with an optimal training window
PERSPECTIVES 2022: Proceedings of the Perspectives on the Evaluation of...
Efficient similarity computation for collaborative filtering in dynamic environments
Proceedings of the 13th ACM Conference on Recommender Systems, 251-259
High-dimensional sparse embeddings for collaborative filtering
Proceedings of the Web Conference 2021, 575-581
An empirical evaluation of doubly robust learning for recommendation
Proceedings of the REVEAL Workshop on Bandit and Reinforcement Learning from...
Embarrassingly shallow auto-encoders for dynamic collaborative filtering
User Modeling and User-Adapted Interaction 32 (4), 509-541
A framework and toolkit for testing the correctness of recommendation algorithms
ACM Transactions on Recommender Systems 2 (1), 1-45
Interactive evaluation of recommender systems with SNIPER: an episode mining approach
Proceedings of the 13th ACM Conference on Recommender Systems, 538-539
On-the-Fly News Recommendation Using Sequential Patterns.
INRA@ RecSys, 29-34
Predicting sequential user behaviour with session-based recurrent neural networks: our approach to the 2019 WSDM Cup Sequential Skip Prediction Challenge
Proceedings of the 2019 WSDM Cup Workshop, February 15th 2019, Melbourne...
Leveraging sequential episode mining for session-based news recommendation
International Conference on Web Information Systems Engineering, 594-608
The impact of a popularity punishing hyperparameter on ItemKNN recommendation performance
European Conference on Information Retrieval, 646-654
Scheduling on a budget: Avoiding stale recommendations with timely updates
Machine Learning with Applications 11, 100455
Modelling users with item metadata for explainable and interactive recommendation
arXiv preprint arXiv:2207.00350
Session-based News Recommendation Using Cohesive Patterns
2024 IEEE International Conference on Big Data (BigData), 440-447
A Neighbourhood-based Location-and Time-aware Recommender System.
ORSUM@ RecSys
GaMuSo: graph base music recommendation in a social bookmarking service
International Symposium on Intelligent Data Analysis, 138-149
Weighted Tensor Decompositions for Context-aware Collaborative Filtering
arXiv preprint arXiv:2503.08393
Non-Stationary Multi-Armed Bandits for News Recommendations
Working paper
What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems
Proceedings of the 34th ACM International Conference on Information and...
Scalable Evaluation of Rule-Based Recommender Systems: Algorithms and Benchmarks
Rules and Reasoning: 9th International Joint Conference, RuleML+ RR 2025...
Neighborhood-Based Collaborative Filtering Bandits
Challenges and Algorithms for Knowledge Discovery from Data: Essays...
4.5 Evaluating the Long-Term Impact of Recommender Systems
Evaluation Perspectives of Recommender Systems: Driving Research and...
