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Publication search results
found 218 matches
- 2024
- Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke:
Optimal Baseline Corrections for Off-Policy Contextual Bandits. RecSys 2024: 722-732 - Sheng-Wei Chen, Chih-Jen Lin:
One-class Matrix Factorization: Point-Wise Regression-Based or Pair-Wise Ranking-Based? RecSys 2024: 257-266 - Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. RecSys 2024: 329-339 - Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng:
Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. RecSys 2024: 829-831 - Davide Abbattista, Vito Walter Anelli, Tommaso Di Noia, Craig MacDonald, Aleksandr Vladimirovich Petrov:
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. RecSys 2024: 1168-1173 - Himan Abdollahpouri, Tonia Danylenko, Masoud Mansoury, Babak Loni, Daniel Russo, Mihajlo Grbovic:
SURE 2024: Workshop on Strategic and Utility-aware REcommendation. RecSys 2024: 1210-1212 - Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger:
Workshop on Context-Aware Recommender Systems (CARS) 2024. RecSys 2024: 1219-1221 - Neda Afreen:
Explainable and Faithful Educational Recommendations through Causal Language Modelling via Knowledge Graphs. RecSys 2024: 1358-1360 - Amanda Aird, Elena Stefancova, Cassidy All, Amy Voida, Martin Homola, Nicholas Mattei, Robin Burke:
Social Choice for Heterogeneous Fairness in Recommendation. RecSys 2024: 1096-1101 - Zafar Ali, Guilin Qi, Irfan Ullah, Adam A. Q. Mohammed, Pavlos Kefalas, Khan Muhammad:
GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation. RecSys 2024: 929-933 - Geetha Sai Aluri, Siddharth Sharma, Tarun Sharma, Joaquin Delgado:
Playlist Search Reinvented: LLMs Behind the Curtain. RecSys 2024: 813-815 - Vito Walter Anelli, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2024: 1245-1249 - Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan:
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. RecSys 2024: 1 - Alejandro Ariza-Casabona, Ludovico Boratto, Maria Salamó:
A Comparative Analysis of Text-Based Explainable Recommender Systems. RecSys 2024: 105-115 - David Eric Austin, Anton Korikov, Armin Toroghi, Scott Sanner:
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation. RecSys 2024: 74-83 - Mahta Bakhshizadeh:
Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems. RecSys 2024: 1296-1301 - Mahta Bakhshizadeh, Heiko Maus, Andreas Dengel:
Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data. RecSys 2024: 654-659 - Mikhail Baklanov:
CEERS: Counterfactual Evaluations of Explanations in Recommender Systems. RecSys 2024: 1323-1329 - Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram:
Biased User History Synthesis for Personalized Long-Tail Item Recommendation. RecSys 2024: 189-199 - Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Alessandro Soccol:
KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation. RecSys 2024: 1079-1084 - Joeran Beel, Lukas Wegmeth, Lien Michiels, Steffen Schulz:
Informed Dataset Selection with 'Algorithm Performance Spaces'. RecSys 2024: 1085-1090 - Omar Besbes, Yash Kanoria, Akshit Kumar:
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable. RecSys 2024: 200-208 - Moumita Bhattacharya, Vito Ostuni, Sudarshan Lamkhede:
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn). RecSys 2024: 793-795 - Brett Binst:
How to Evaluate Serendipity in Recommender Systems: the Need for a Serendiptionnaire. RecSys 2024: 1335-1341 - Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte, Tijl De Bie:
Fourth Workshop on Recommender Systems for Human Resources (RecSys in HR 2024). RecSys 2024: 1222-1226 - Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Fair Augmentation for Graph Collaborative Filtering. RecSys 2024: 158-168 - Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci:
First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). RecSys 2024: 1239-1241 - Karl Audun Kagnes Borgersen, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma:
A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. RecSys 2024: 945-950 - Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24). RecSys 2024: 1253-1257 - Robin Burke, Joseph A. Konstan, Michael D. Ekstrand:
Conducting Recommender Systems User Studies Using POPROX. RecSys 2024: 1277-1278
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