Machine Learning · Computer Science
Predictive Churn with the Set of Good Models
Jamelle Watson-Daniels, Flavio du Pin Calmon, Alexander D'Amour, Carol Long +2
2025-04-29
Information Retrieval · Computer Science
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang +1
2022-02-17
Information Retrieval · Computer Science
Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities
Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Ángel González-Prieto
2024-10-28
Information Retrieval · Computer Science
Uncertainty Quantification and Decomposition for LLM-based Recommendation
Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
2025-02-13
Information Retrieval · Computer Science
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments
Alexandrin Popescul, Lyle H. Ungar, David M Pennock, Steve Lawrence
2013-01-14
Information Retrieval · Computer Science
Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure
Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma +3
2025-12-22
Information Retrieval · Computer Science
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems
Jesús Bobadilla, Jorge Dueñas-Lerín, Fernando Ortega, Abraham Gutierrez
2024-10-28
Information Retrieval · Computer Science
Incorporating Recklessness to Collaborative Filtering based Recommender Systems
Diego Pérez-López, Fernando Ortega, Ángel González-Prieto, Jorge Dueñas-Lerín
2024-05-22
Machine Learning · Computer Science
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach
Yifang Liu, Zhentao Xu, Qiyuan An, Yang Yi +2
2020-09-29
Machine Learning · Statistics
Modeling User Exposure in Recommendation
Dawen Liang, Laurent Charlin, James McInerney, David M. Blei
2016-02-05
Social and Information Networks · Computer Science
Accurate and scalable social recommendation using mixed-membership stochastic block models
Antonia Godoy-Lorite, Roger Guimera, Cristopher Moore, Marta Sales-Pardo
2017-02-06
Information Retrieval · Computer Science
Crank up the volume: preference bias amplification in collaborative recommendation
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
2019-09-17
Information Retrieval · Computer Science
Social Choice for Heterogeneous Fairness in Recommendation
Amanda Aird, Elena Štefancová, Cassidy All, Amy Voida +3
2024-10-08
Information Retrieval · Computer Science
Result Diversification in Search and Recommendation: A Survey
Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu +3
2024-02-20
Information Retrieval · Computer Science
Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
Wei Xu, Jiasen Zheng, Junjiang Lin, Mingxuan Han +1
2025-09-08
Information Retrieval · Computer Science
Reconciling the accuracy-diversity trade-off in recommendations
Kenny Peng, Manish Raghavan, Emma Pierson, Jon Kleinberg +1
2023-07-31