A Survey on Incremental Update for Neural Recommender Systems

By Peiyan Zhang et al

Published on March 6, 2023

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Table of Contents

1. Introduction
2. Problem Definition
3. Challenges
4. Related Work
4.1 System Dynamic Modeling
4.2 Incremental Learning

Summary

This paper provides a systematic survey of incremental update for neural recommender systems, focusing on the challenges and solutions in dynamically updating recommender models. It discusses the importance of modeling system dynamics accurately and the challenges of incremental learning to prevent catastrophic forgetting. The paper reviews related work in system dynamic modeling and incremental learning approaches in recommender systems.