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ORCIDRobustRecSys@RecSys 2024: Bari, Italy
- Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri:
Proceedings of the Workshop Design, Evaluation, and Deployment of Robust Recommender Systems (RobustRecSys 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 18th, 2024. CEUR Workshop Proceedings 3924, CEUR-WS.org 2025 - Filippo Betello:
The Role of Fake Users in Sequential Recommender Systems. 1-7 - Philipp Meister, Lukas Wegmeth, Tobias Vente, Joeran Beel:
Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems. 8-11 - Tobias Vente, Zainil Mehta, Lukas Wegmeth, Joeran Beel:
Greedy Ensemble Selection for Top-N Recommendations. 12-16 - Andrii Dzhoha, Alexey Kurennoy, Vladimir Vlasov, Marjan Celikik:
Reducing Popularity Influence by Addressing Position Bias. 17-23 - Yixiong Wang, Maria Paskevich, Hui Wang:
Addressing bias in Recommender Systems: A Case Study on Data Debiasing Techniques in Mobile Games. 24-29 - Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu:
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems. 30-34 - Bonifacio Marco Francomano, Federico Siciliano, Fabrizio Silvestri:
Robust Solutions for Ranking Variability in Recommender Systems. 35-40 - Federico Siciliano, Shoval Lagziel, Iftah Gamzu, Gabriele Tolomei:
Robust Training of Sequential Recommender Systems with Missing Input Data. 41-50
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