:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xu, Chen, Ye, Xiaopeng, Xu, Jun, Zhang, Xiao, Shen, Weiran, Wen, Ji-Rong
Format:	Preprint
Publié:	2023
Sujets:	Information Retrieval
Accès en ligne:	https://arxiv.org/abs/2308.05902
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Long-Term Welfare in Recommender Systems: An Information Revelation Approach
par: Zhao, Xu, et autres
Publié: (2025)

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
par: Ye, Xiaopeng, et autres
Publié: (2025)

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms
par: Xu, Chen, et autres
Publié: (2025)

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
par: Zhang, Changshuo, et autres
Publié: (2024)

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
par: Ye, Xiaopeng, et autres
Publié: (2025)

Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
par: Zhou, Yuqi, et autres
Publié: (2024)

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
par: Xu, Chen, et autres
Publié: (2025)

Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
par: Zhang, Changshuo, et autres
Publié: (2025)

A Taxation Perspective for Fair Re-ranking
par: Xu, Chen, et autres
Publié: (2024)

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
par: Xu, Chen, et autres
Publié: (2024)

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
par: Ye, Xiaopeng, et autres
Publié: (2024)

Gated Rotary-Enhanced Linear Attention with Rank Modulation for Long-term Sequential Recommendation
par: Hu, Juntao, et autres
Publié: (2025)

Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback
par: Fang, Hui, et autres
Publié: (2024)

QAGCF: Graph Collaborative Filtering for Q&A Recommendation
par: Zhang, Changshuo, et autres
Publié: (2024)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
par: Liu, Ziru, et autres
Publié: (2024)

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
par: Zhao, Haiyuan, et autres
Publié: (2024)

A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation
par: Boratto, Ludovico, et autres
Publié: (2024)

Improving Recommendation Fairness via Graph Structure and Representation Augmentation
par: Xu, Tongxin, et autres
Publié: (2025)

Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
par: Zhao, Haiyuan, et autres
Publié: (2022)

Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
par: Li, Jin, et autres
Publié: (2026)

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation
par: Xu, Cong, et autres
Publié: (2024)

Towards Reliable Negative Sampling for Recommendation with Implicit Feedback via In-Community Popularity
par: Chen, Chen, et autres
Publié: (2026)

LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
par: Ren, Qin, et autres
Publié: (2025)

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
par: Cai, Shihao, et autres
Publié: (2024)

Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems
par: Lesota, Oleg, et autres
Publié: (2024)

FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation
par: Ye, Yufei, et autres
Publié: (2026)

Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
par: Xu, Lanling, et autres
Publié: (2024)

Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
par: Liu, Enze, et autres
Publié: (2025)

The Diversity Paradox revisited: Systemic Effects of Feedback Loops in Recommender Systems
par: Barlacchi, Gabriele, et autres
Publié: (2026)

Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops
par: Park, Donguk, et autres
Publié: (2026)

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation
par: Zheng, Bowen, et autres
Publié: (2025)

MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
par: Cai, Shihao, et autres
Publié: (2025)

The Feedback Loop Between Recommendation Systems and Reactive Users
par: Mollabagher, Atefeh, et autres
Publié: (2025)

Understanding the Ranking Loss for Recommendation with Sparse User Feedback
par: Lin, Zhutian, et autres
Publié: (2024)

GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
par: Shen, Chenglei, et autres
Publié: (2026)

Causal Intervention for Fairness in Multi-behavior Recommendation
par: Wang, Xi, et autres
Publié: (2022)

Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
par: Deldjoo, Yashar
Publié: (2024)

A Simulation Framework for Studying Systemic Effects of Feedback Loops in Recommender Systems
par: Barlacchi, Gabriele, et autres
Publié: (2025)

Personalized Denoising Implicit Feedback for Robust Recommender System
par: Zhang, Kaike, et autres
Publié: (2025)

Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations
par: Zhang, Xiaoqing, et autres
Publié: (2024)