Copertina

Personalized Contest Recommendation in Fantasy Sports

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Srilakshmi, Madiraju, Kothari, Kartavya, Marathe, Kamlesh, Chigurupati, Vedavyas, Kapoor, Hitesh
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

Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
di: Bhattacharjee, Shamik, et al.
Pubblicazione: (2024)

Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine
di: Padalkar, Unmesh
Pubblicazione: (2026)

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

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)

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

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

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

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)

Evaluating Generative AI Tools for Personalized Offline Recommendations: A Comparative Study
di: Salinas-Buestan, Rafael, et al.
Pubblicazione: (2025)

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)

Exploring Patterns Behind Sports
di: Liu, Chang, et al.
Pubblicazione: (2025)

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

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

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)

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

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

Federated Vision-Language-Recommendation with Personalized Fusion
di: Li, Zhiwei, et al.
Pubblicazione: (2024)

AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations
di: Hartman, Jan, et al.
Pubblicazione: (2024)

Semantic Retrieval for Product Search in E-Commerce
di: Kothari, Nikhil, et al.
Pubblicazione: (2026)

ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)
di: Ariza-Casabona, Alejandro, et al.
Pubblicazione: (2025)

Weightless Neural Networks for Continuously Trainable Personalized Recommendation Systems
di: Latif, Rafayel, et al.
Pubblicazione: (2025)

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
di: Li, Zelong, et al.
Pubblicazione: (2024)

Enhancing Personalized Recipe Recommendation Through Multi-Class Classification
di: Neelam, Harish, et al.
Pubblicazione: (2024)

PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
di: Wang, Xin, et al.
Pubblicazione: (2025)

LiMAML: Personalization of Deep Recommender Models via Meta Learning
di: Wang, Ruofan, et al.
Pubblicazione: (2024)

The Value of Personalized Recommendations: Evidence from Netflix
di: Zielnicki, Kevin, et al.
Pubblicazione: (2025)

Continual Recommender Systems
di: Yoo, Hyunsik, et al.
Pubblicazione: (2025)

Graph Augmentation for Recommendation
di: Zhang, Qianru, et al.
Pubblicazione: (2024)

Stability of Explainable Recommendation
di: Vijayaraghavan, Sairamvinay, et al.
Pubblicazione: (2024)

Robust Explainable Recommendation
di: Vijayaraghavan, Sairamvinay, et al.
Pubblicazione: (2024)

When and What to Recommend: Joint Modeling of Timing and Content for Active Sequential Recommendation
di: Chai, Jin, et al.
Pubblicazione: (2025)

Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
di: Li, Jiayu, et al.
Pubblicazione: (2025)

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

Semantic IDs for Music Recommendation
di: Mei, M. Jeffrey, et al.
Pubblicazione: (2025)

Calibrated Recommendations with Contextual Bandits
di: Feijer, Diego, et al.
Pubblicazione: (2025)

Plausible Counterfactual Explanations of Recommendations
di: Černý, Jakub, et al.
Pubblicazione: (2025)