TextBridgeGNN pre-trains a graph recommender across domains and uses text-similarity edges to move ID-based knowledge into a new domain, improving cross-domain, multi-domain, and zero-shot recommendations.
arXiv:2312.10743 [cs.IR]https://arxiv.org/abs/2312.10743 Vineet Gupta, Tomer Koren, and Yoram Singer
2 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
2
Pith papers citing it
2
external citations · external index
representative citing papers
DUET pre-trains dedicated transformers for click and conversion streams, yielding up to 0.38% NE reduction over baselines in OCVR prediction.
citing papers explorer
-
TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
TextBridgeGNN pre-trains a graph recommender across domains and uses text-similarity edges to move ID-based knowledge into a new domain, improving cross-domain, multi-domain, and zero-shot recommendations.
-
DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction
DUET pre-trains dedicated transformers for click and conversion streams, yielding up to 0.38% NE reduction over baselines in OCVR prediction.