


default search action
SURE@RecSys 2024: Bari, Italy
- Himan Abdollahpouri, Tonia Danylenko, Masoud Mansoury, Babak Loni, Daniel Russo, Mihajlo Grbovic:
Proceedings of the Workshop on Strategic and Utility-aware REcommendations (SURE 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, 14th-18th October 2024. CEUR Workshop Proceedings 3873, CEUR-WS.org 2024
Session 1
- SURE 2024: Workshop on Strategic and Utility-aware REcommendations.
- Ehsan Ebrahimzadeh, Nikhil Monga, Hang Gao, Alex Cozzi, Abraham Bagherjeiran:
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data. - Celine Liu, Rahul Suresh, Amin Banitalebi-Dehkordi:
Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes. - Benjamin Heymann, Flavian Vasile, David Rohde:
Welfare-Optimized Recommender Systems.
Session 2
- Styliani Katsarou, Francesca Carminati, Martin Dlask, Marta Braojos, Lavena Patra, Richard Perkins, Carlos García Ling, Maria Paskevich:
Combining Bundle Economy and Relevancy through Content Recommendations in Candy Crush Saga. - Indra Firmansyah, Randolf Scholz, Adrian Nahmendorff, Ngoc Son Le, Shereen Elsayed, Lars Schmidt-Thieme:
Learning Set Embeddings for Fashion Compatibility Recommendation. - Tiago Cunha, Andrea Marchini:
A Hybrid Meta-Learning and MAB Approach for Context-Specific Multi-Objective Recommendation Optimization. - Jingwen Cai, Johanna Björklund:
Optimising Contextual Advertising through Real-Time Bidding with Budget Constraints.

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.