SimAug augments sparse user-item graphs by connecting inactive users to textually similar unpopular items using PLM embeddings, improving recommendation utility and fairness in experiments.
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
CONDITIONAL 1representative citing papers
citing papers explorer
-
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation
SimAug augments sparse user-item graphs by connecting inactive users to textually similar unpopular items using PLM embeddings, improving recommendation utility and fairness in experiments.