A survey and tutorial that categorizes continual learning techniques for recommender systems into experience replay and regularization families and identifies future research directions.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Continual Recommender Systems
A survey and tutorial that categorizes continual learning techniques for recommender systems into experience replay and regularization families and identifies future research directions.