Image de couverture de livre

Calibrated Recommendations: Survey and Future Directions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	da Silva, Diego Corrêa, Jannach, Dietmar
Format:	Preprint
Publié:	2025
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Survey on Intent-aware Recommender Systems
par: Jannach, Dietmar, et autres
Publié: (2024)

A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data
par: Wang, Zehui, et autres
Publié: (2023)

Performance Comparison of Session-based Recommendation Algorithms based on GNNs
par: Shehzad, Faisal, et autres
Publié: (2023)

A Worrying Reproducibility Study of Intent-Aware Recommendation Models
par: Shehzad, Faisal, et autres
Publié: (2025)

A Survey on Popularity Bias in Recommender Systems
par: Klimashevskaia, Anastasiia, et autres
Publié: (2023)

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support
par: Jannach, Dietmar, et autres
Publié: (2025)

Causal Learning for Trustworthy Recommender Systems: A Survey
par: Li, Jin, et autres
Publié: (2024)

Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
par: Jannach, Dietmar, et autres
Publié: (2024)

Diffusion Recommender Models and the Illusion of Progress: A Concerning Study of Reproducibility and a Conceptual Mismatch
par: Benigni, Michael, et autres
Publié: (2025)

Improving Sequential Recommendations with LLMs
par: Boz, Artun, et autres
Publié: (2024)

Fashion Image-to-Image Translation for Complementary Item Retrieval
par: Attimonelli, Matteo, et autres
Publié: (2024)

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
par: Huang, Chengkai, et autres
Publié: (2025)

Negative Sampling in Recommendation: A Survey and Future Directions
par: Ma, Haokai, et autres
Publié: (2024)

Robust Recommender System: A Survey and Future Directions
par: Zhang, Kaike, et autres
Publié: (2023)

Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
par: Holzleitner, Marlene, et autres
Publié: (2025)

Understanding Distribution Structure on Calibrated Recommendation Systems
par: da Silva, Diego Correa, et autres
Publié: (2025)

Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
par: Attimonelli, Matteo, et autres
Publié: (2025)

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
par: Xu, Jinfeng, et autres
Publié: (2025)

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions
par: Jiang, Jing, et autres
Publié: (2024)

Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
par: Hasan, Emrul, et autres
Publié: (2024)

Calibrated Recommendations with Contextual Bandits
par: Feijer, Diego, et autres
Publié: (2025)

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
par: Mi, Yunqi, et autres
Publié: (2025)

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects
par: Hong, Zihan, et autres
Publié: (2025)

Attention Calibration for Transformer-based Sequential Recommendation
par: Zhou, Peilin, et autres
Publié: (2023)

Confidence Calibration for Recommender Systems and Its Applications
par: Kweon, Wonbin
Publié: (2024)

Behavior-Guided Candidate Calibration for Multimodal Recommendation
par: Li, Zesheng, et autres
Publié: (2026)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions
par: Luo, Sichun, et autres
Publié: (2024)

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions
par: Zhou, Hongyu, et autres
Publié: (2025)

CM$^3$: Calibrating Multimodal Recommendation
par: Zhou, Xin, et autres
Publié: (2025)

A Survey on Sequential Recommendation
par: Pan, Liwei, et autres
Publié: (2024)

Enhancing Adaptive Video Streaming through Fuzzy Logic-Based Content Recommendation Systems: A Comprehensive Review and Future Directions
par: Khan, Koffka
Publié: (2024)

Look into the Future: Deep Contextualized Sequential Recommendation
par: Zheng, Lei, et autres
Publié: (2024)

Multi-Interest Recommendation: A Survey
par: Li, Zihao, et autres
Publié: (2025)

Joint Modeling in Recommendations: A Survey
par: Zhao, Xiangyu, et autres
Publié: (2025)

A Survey on Trustworthy Recommender Systems
par: Ge, Yingqiang, et autres
Publié: (2022)

Learning to Hash for Recommendation: A Survey
par: Luo, Fangyuan, et autres
Publié: (2024)

A Survey on Causal Inference for Recommendation
par: Luo, Huishi, et autres
Publié: (2023)

A Directional Diffusion Graph Transformer for Recommendation
par: Yi, Zixuan, et autres
Publié: (2024)

Diffusion Models in Recommendation Systems: A Survey
par: Wei, Ting-Ruen, et autres
Publié: (2025)

A Survey on Data-Centric Recommender Systems
par: Lai, Riwei, et autres
Publié: (2024)