Modeling Churn in Recommender Systems with Aggregated Preferences
Fuente:
arXiv
Guardado en:
| Autores principales: | Keinan, Gur, Ben-Porat, Omer |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Churn-Aware Recommendation Planning under Aggregated Preference Feedback
por: Keinan, Gur, et al.
Publicado: (2025)
por: Keinan, Gur, et al.
Publicado: (2025)
Bandits with Single-Peaked Preferences and Limited Resources
por: Ben-Porat, Omer, et al.
Publicado: (2025)
por: Ben-Porat, Omer, et al.
Publicado: (2025)
Modeling Attrition in Recommender Systems with Departing Bandits
por: Ben-Porat, Omer, et al.
Publicado: (2022)
por: Ben-Porat, Omer, et al.
Publicado: (2022)
BPL: Bias-adaptive Preference Distillation Learning for Recommender System
por: Kang, SeongKu, et al.
Publicado: (2025)
por: Kang, SeongKu, et al.
Publicado: (2025)
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
por: Shao, Chu-Jen, et al.
Publicado: (2024)
por: Shao, Chu-Jen, et al.
Publicado: (2024)
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
por: Huang, Tianhao, et al.
Publicado: (2024)
por: Huang, Tianhao, et al.
Publicado: (2024)
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
por: Han, Xiao, et al.
Publicado: (2024)
por: Han, Xiao, et al.
Publicado: (2024)
Navigating the Future of Federated Recommendation Systems with Foundation Models
por: Li, Zhiwei, et al.
Publicado: (2024)
por: Li, Zhiwei, et al.
Publicado: (2024)
A Survey of Latent Factor Models in Recommender Systems
por: Alshbanat, Hind I., et al.
Publicado: (2024)
por: Alshbanat, Hind I., et al.
Publicado: (2024)
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference
por: Forouzandehmehr, Najmeh, et al.
Publicado: (2024)
por: Forouzandehmehr, Najmeh, et al.
Publicado: (2024)
Impression-Aware Recommender Systems
por: Maurera, Fernando B. Pérez, et al.
Publicado: (2023)
por: Maurera, Fernando B. Pérez, et al.
Publicado: (2023)
Large Language Models as Recommender Systems: A Study of Popularity Bias
por: Lichtenberg, Jan Malte, et al.
Publicado: (2024)
por: Lichtenberg, Jan Malte, et al.
Publicado: (2024)
Machine Unlearning for Recommendation Systems: An Insight
por: Sachdeva, Bhavika, et al.
Publicado: (2024)
por: Sachdeva, Bhavika, et al.
Publicado: (2024)
Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
por: Shao, Junli, et al.
Publicado: (2025)
por: Shao, Junli, et al.
Publicado: (2025)
Modeling User Exploration Saturation: When Recommender Systems Should Stop Pushing Novelty
por: Ayiku, Enock O., et al.
Publicado: (2026)
por: Ayiku, Enock O., et al.
Publicado: (2026)
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
por: Yuan, Jun, et al.
Publicado: (2024)
por: Yuan, Jun, et al.
Publicado: (2024)
Review of Explainable Graph-Based Recommender Systems
por: Markchom, Thanet, et al.
Publicado: (2024)
por: Markchom, Thanet, et al.
Publicado: (2024)
A Survey on Popularity Bias in Recommender Systems
por: Klimashevskaia, Anastasiia, et al.
Publicado: (2023)
por: Klimashevskaia, Anastasiia, et al.
Publicado: (2023)
Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems
por: Arviv, Dor, et al.
Publicado: (2025)
por: Arviv, Dor, et al.
Publicado: (2025)
Talos: Optimizing Top-$K$ Accuracy in Recommender Systems
por: Zhang, Shengjia, et al.
Publicado: (2026)
por: Zhang, Shengjia, et al.
Publicado: (2026)
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
por: Li, Chen, et al.
Publicado: (2023)
por: Li, Chen, et al.
Publicado: (2023)
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
por: Mozifian, Melissa, et al.
Publicado: (2023)
por: Mozifian, Melissa, et al.
Publicado: (2023)
A Comprehensive Survey of Evaluation Techniques for Recommendation Systems
por: Jadon, Aryan, et al.
Publicado: (2023)
por: Jadon, Aryan, et al.
Publicado: (2023)
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
por: Bhattacharya, Moumita, et al.
Publicado: (2024)
por: Bhattacharya, Moumita, et al.
Publicado: (2024)
PSLF: A PID Controller-incorporated Second-order Latent Factor Analysis Model for Recommender System
por: Wang, Jialiang, et al.
Publicado: (2024)
por: Wang, Jialiang, et al.
Publicado: (2024)
Large Language Model Distilling Medication Recommendation Model
por: Liu, Qidong, et al.
Publicado: (2024)
por: Liu, Qidong, et al.
Publicado: (2024)
Weightless Neural Networks for Continuously Trainable Personalized Recommendation Systems
por: Latif, Rafayel, et al.
Publicado: (2025)
por: Latif, Rafayel, et al.
Publicado: (2025)
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
por: Khalafaoui, Yasser, et al.
Publicado: (2024)
por: Khalafaoui, Yasser, et al.
Publicado: (2024)
Modeling Behavioral Intensity and Transitions for Generative Recommendation
por: Yang, Wenxuan, et al.
Publicado: (2026)
por: Yang, Wenxuan, et al.
Publicado: (2026)
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
por: Wilm, Timo, et al.
Publicado: (2024)
por: Wilm, Timo, et al.
Publicado: (2024)
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
por: Jha, Gopi Krishna, et al.
Publicado: (2023)
por: Jha, Gopi Krishna, et al.
Publicado: (2023)
DiffGRM: Diffusion-based Generative Recommendation Model
por: Liu, Zhao, et al.
Publicado: (2025)
por: Liu, Zhao, et al.
Publicado: (2025)
Graph Foundation Models for Recommendation: A Comprehensive Survey
por: Wu, Bin, et al.
Publicado: (2025)
por: Wu, Bin, et al.
Publicado: (2025)
Large Language Models for Next Point-of-Interest Recommendation
por: Li, Peibo, et al.
Publicado: (2024)
por: Li, Peibo, et al.
Publicado: (2024)
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
por: Cheraghi, Radin, et al.
Publicado: (2025)
por: Cheraghi, Radin, et al.
Publicado: (2025)
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention
por: Xu, Rengan, et al.
Publicado: (2024)
por: Xu, Rengan, et al.
Publicado: (2024)
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
por: Zhu, Zhangchi, et al.
Publicado: (2024)
por: Zhu, Zhangchi, et al.
Publicado: (2024)
Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of User Dynamics
por: Zhou, Chao
Publicado: (2026)
por: Zhou, Chao
Publicado: (2026)
Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control
por: Klenitskiy, Anton, et al.
Publicado: (2025)
por: Klenitskiy, Anton, et al.
Publicado: (2025)
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
por: Li, Zelong, et al.
Publicado: (2024)
por: Li, Zelong, et al.
Publicado: (2024)
Ejemplares similares
-
Churn-Aware Recommendation Planning under Aggregated Preference Feedback
por: Keinan, Gur, et al.
Publicado: (2025) -
Bandits with Single-Peaked Preferences and Limited Resources
por: Ben-Porat, Omer, et al.
Publicado: (2025) -
Modeling Attrition in Recommender Systems with Departing Bandits
por: Ben-Porat, Omer, et al.
Publicado: (2022) -
BPL: Bias-adaptive Preference Distillation Learning for Recommender System
por: Kang, SeongKu, et al.
Publicado: (2025) -
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
por: Shao, Chu-Jen, et al.
Publicado: (2024)