Copertina

Evaluating Generative AI Tools for Personalized Offline Recommendations: A Comparative Study

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Salinas-Buestan, Rafael, Parra, Otto, Condori-Fernandez, Nelly, Granda, Maria Fernanda
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On the Reliability of Sampling Strategies in Offline Recommender Evaluation
di: Pereira, Bruno L., et al.
Pubblicazione: (2025)

Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation
di: Pires, Pedro R., et al.
Pubblicazione: (2025)

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders
di: Gusak, Danil, et al.
Pubblicazione: (2025)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
di: Liu, Langming, et al.
Pubblicazione: (2025)

Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
di: Wang, Siyu, et al.
Pubblicazione: (2025)

Offline Reasoning for Efficient Recommendation: LLM-Empowered Persona-Profiled Item Indexing
di: Kim, Deogyong, et al.
Pubblicazione: (2026)

CASP: Support-Aware Offline Policy Selection for Two-Stage Recommender Systems
di: Chapagain, Nilson
Pubblicazione: (2026)

Personalized Contest Recommendation in Fantasy Sports
di: Srilakshmi, Madiraju, et al.
Pubblicazione: (2025)

Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
di: Spadea, Fernando, et al.
Pubblicazione: (2026)

Personalized Image Generation for Recommendations Beyond Catalogs
di: Patron, Gabriel, et al.
Pubblicazione: (2025)

Personalized Recommendation of Dish and Restaurant Collections on iFood
di: Granado, Fernando F., et al.
Pubblicazione: (2025)

Cold-start Recommendation by Personalized Embedding Region Elicitation
di: Nguyen, Hieu Trung, et al.
Pubblicazione: (2024)

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
di: Singh, Anima, et al.
Pubblicazione: (2023)

Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization
di: Chan, Audrey, et al.
Pubblicazione: (2026)

Personalized Recommendations via Active Utility-based Pairwise Sampling
di: Boroomand, Bahar, et al.
Pubblicazione: (2025)

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
di: De Nadai, Marco, et al.
Pubblicazione: (2024)

Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
di: Tan, Shiyin, et al.
Pubblicazione: (2025)

End-to-End Personalization: Unifying Recommender Systems with Large Language Models
di: Ebrat, Danial, et al.
Pubblicazione: (2025)

Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning
di: Huang, Shuaishuai, et al.
Pubblicazione: (2024)

Evaluation on Entity Matching in Recommender Systems
di: Huang, Zihan, et al.
Pubblicazione: (2026)

Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems
di: Elahi, Ali, et al.
Pubblicazione: (2024)

Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
di: Melchiorre, Alessandro B., et al.
Pubblicazione: (2025)

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
di: Spadea, Fernando, et al.
Pubblicazione: (2025)

Masked Diffusion for Generative Recommendation
di: Shah, Kulin, et al.
Pubblicazione: (2025)

Towards Personalized Bangla Book Recommendation: A Large-Scale Multi-Entity Book Graph Dataset
di: Ahmed, Rahin Arefin, et al.
Pubblicazione: (2026)

A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems
di: Zhou, Yichu, et al.
Pubblicazione: (2026)

De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
di: Burke, Robin, et al.
Pubblicazione: (2025)

Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
di: Saed, Sajjad, et al.
Pubblicazione: (2025)

Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I
di: Oosterhuis, Harrie, et al.
Pubblicazione: (2024)

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
di: Zhang, Zheyuan, et al.
Pubblicazione: (2024)

Trie-Aware Transformers for Generative Recommendation
di: Xu, Zhenxiang, et al.
Pubblicazione: (2026)

Generative Recommendation for Large-Scale Advertising
di: Xue, Ben, et al.
Pubblicazione: (2026)

Generalized Embedding Machines for Recommender Systems
di: Yang, Enneng, et al.
Pubblicazione: (2020)

e-Fold Cross-Validation for Recommender-System Evaluation
di: Baumgart, Moritz, et al.
Pubblicazione: (2024)

Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
di: Markowitz, Elan, et al.
Pubblicazione: (2023)

Mamba for Scalable and Efficient Personalized Recommendations
di: Starnes, Andrew, et al.
Pubblicazione: (2024)

From Prompting to Alignment: A Generative Framework for Query Recommendation
di: Min, Erxue, et al.
Pubblicazione: (2025)

End-to-End Semantic ID Generation for Generative Advertisement Recommendation
di: Jiang, Jie, et al.
Pubblicazione: (2026)

Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation
di: Ma, Xin, et al.
Pubblicazione: (2024)

Non-autoregressive Personalized Bundle Generation
di: Yang, Wenchuan, et al.
Pubblicazione: (2024)