GitHub topics: cross-domain-recommendation
manjit-baishya-datascience/Cross-Domain-Recomendation-System
This project implements a cross-domain recommendation system using datasets from multiple domains (movies, music, and books). The goal is to leverage user interactions across these domains to improve recommendation accuracy.
Language: Jupyter Notebook - Size: 113 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

westlake-repl/NineRec
Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System
Language: Python - Size: 13.4 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 71 - Forks: 4

westlake-repl/Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
Paper List of Pre-trained Foundation Recommender Models
Size: 444 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 307 - Forks: 25

easezyc/WSDM2022-PTUPCDR
This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
Language: Python - Size: 6.1 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 131 - Forks: 30

fajieyuan/universal_user_representation
papers of universal user representation learning for recommendation
Size: 56.6 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 1

xiangwang1223/neural_social_collaborative_ranking
Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017
Language: Python - Size: 10.7 KB - Last synced at: 6 days ago - Pushed at: almost 6 years ago - Stars: 39 - Forks: 15

cjx96/CDRIB
[ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
Language: Python - Size: 30.2 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 29 - Forks: 7

NSLab-CUK/Context-Aware-Residual-Transformer
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.
Language: Python - Size: 9.55 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 5 - Forks: 2

westlake-repl/Adapter4Rec
Multi-domain Recommendation with Adapter Tuning
Language: Python - Size: 46.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 1

westlake-repl/Multimodal-recommendation-datasets
A repository listing important datasets for multimodal recommender systems
Size: 20.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

fajieyuan/recommendation_transfer_learning_pretraining
Pre-training and Transfer learning papers for recommendation
Size: 154 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 0

bjtu-lucas-nlp/AMT-CDR
AMT-CDR: A Deep Adversarial Multi-channel Transfer Network for Cross-domain Recommendation
Language: Python - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

fajieyuan/IDforRec
Is ID embedding necessary for multimodal recommender system?
Size: 48.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

WinChua/CDRTR
Review-Aware Cross Domain Product Recommendation
Language: Python - Size: 6.84 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 2
