There are 3 repositories under cross-domain-recommendation topic.
Paper List of Pre-trained Foundation Recommender Models
This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System
Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017
Multi-domain Recommendation with Adapter Tuning
papers of universal user representation learning for recommendation
Pre-training and Transfer learning papers for recommendation
Context-Aware Residual Transformer (CART) is a kiosk recommendation system (CART) that utilizes self-supervised learning techniques tailored to kiosks in an offline retail environment and developed by a collaboration between NS Lab @ CUK and IIP Lab @ Gachon University based on pure PyTorch backend.
A repository listing important datasets for multimodal recommender systems
AMT-CDR: A Deep Adversarial Multi-channel Transfer Network for Cross-domain Recommendation
Enhanced recommendations through sentiment analysis on reviews and prioritized popular attractions based on keyword frequency, ensuring more personalized and relevant suggestions