Cover Image

Personalized Negative Reservoir for Incremental Learning in Recommender Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Valkanas, Antonios, Wang, Yuening, Zhang, Yingxue, Coates, Mark
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
by: Wang, Yuening, et al.
Published: (2024)

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
by: Shi, Yunxiao, et al.
Published: (2025)

On Negative-aware Preference Optimization for Recommendation
by: Ding, Chenlu, et al.
Published: (2025)

Gated Multimodal Graph Learning for Personalized Recommendation
by: Liu, Sibei, et al.
Published: (2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)

Memory Assisted LLM for Personalized Recommendation System
by: Chen, Jiarui
Published: (2025)

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
by: Huang, Chengkai, et al.
Published: (2024)

NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems
by: Wang, Shuli, et al.
Published: (2025)

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
by: Shang, Yu, et al.
Published: (2025)

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
by: Liao, Weibin, et al.
Published: (2024)

USM: Unbiased Survey Modeling for Limiting Negative User Experiences in Recommendation Systems
by: Yu, Chenghui, et al.
Published: (2024)

Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
by: Shi, Chenxi, et al.
Published: (2024)

Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers
by: Li, Bingqian, et al.
Published: (2026)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
by: Zhang, Yang, et al.
Published: (2024)

Improving LLM-powered Recommendations with Personalized Information
by: Liu, Jiahao, et al.
Published: (2025)

Personalized Recommendation Models in Federated Settings: A Survey
by: Zhang, Chunxu, et al.
Published: (2025)

CoNRec: Context-Discerning Negative Recommendation with LLMs
by: Chen, Xinda, et al.
Published: (2026)

Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
by: Mao, Chunyan, et al.
Published: (2024)

A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)

A Model-based Multi-Agent Personalized Short-Video Recommender System
by: Zhou, Peilun, et al.
Published: (2024)

Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)

RecMind: Large Language Model Powered Agent For Recommendation
by: Wang, Yancheng, et al.
Published: (2023)

Personalized Education with Ranking Alignment Recommendation
by: Liu, Haipeng, et al.
Published: (2025)

ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
by: Zhang, Yi, et al.
Published: (2024)

Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning
by: Xu, Kangming, et al.
Published: (2024)

On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
by: Wang, Siyu, et al.
Published: (2024)

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems
by: Huang, Zhirong, et al.
Published: (2024)

Embedding in Recommender Systems: A Survey
by: Wang, Maolin, et al.
Published: (2023)

Performance-Driven QUBO for Recommender Systems on Quantum Annealers
by: Niu, Jiayang, et al.
Published: (2024)

CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
by: Li, Xiping, et al.
Published: (2026)

Towards Reliable Negative Sampling for Recommendation with Implicit Feedback via In-Community Popularity
by: Chen, Chen, et al.
Published: (2026)

Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment
by: Chen, Chongxian, et al.
Published: (2025)

Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View
by: Liao, Hao, et al.
Published: (2025)

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)

Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
by: Guo, Xu, et al.
Published: (2025)

MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
by: Guo, Xu, et al.
Published: (2025)

Semantic-Enhanced Relational Metric Learning for Recommender Systems
by: Li, Mingming, et al.
Published: (2024)

An LLM-RAG Approach for Healthy Eating Index-Informed Personalized Food Recommendations
by: Wang, Yibin, et al.
Published: (2026)

Request-Only Optimization for Recommendation Systems
by: Guo, Liang, et al.
Published: (2025)

TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
by: Wang, Qingzhuo, et al.
Published: (2026)