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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

Related Keywords
cross-domain-recommendation 14 recommender-system 5 foundation-recommendation-model 4 multi-domain-recommendation 4 transfer-learning 4 transferable-recommendation 3 pre-training 3 recommendation-system 3 llm 3 llm-recommendation 3 multimodal 3 language-model 2 recommendation 2 bert 2 cold-start 2 lifelong-learning 2 transfer 2 transformer 2 user-modeling 2 user-representation 2 image-recommendation 2 text-recommendation 2 self-supervised-learning 1 pretrained-models 1 nextitnet 1 lifelong-machine-learning 1 lifelong-lear 1 lifelong 1 bert-model 1 pre-trained-language-models 1 multimodal-recommendation-dataset 1 multimodal-recommendation 1 prompt-tu 1 parameter-efficient-tuning 1 lora-recommendation 1 fine-tuning 1 cross-domain 1 adapter 1 transformer-models 1 review-aware 1 python 1 dsn 1 domainseparationnetworks 1 deep-learning 1 userid 1 large-language-models 1 itemid 1 idrec 1 idembedding 1 id-recommendation 1 id-embedding 1 foundation 1 user-profiles 1 user-models 1 universal-representation 1 universal 1 transformers 1 catastrophic-forgetting 1 multimodal-recommenddation 1 one-for-all 1 transferable 1 pre-train-recommendation 1 pre-training-dataset 1 transfer-learning-recommendation 1 multimodalrecommendation 1 multimodal-deep-learning 1 llm4rec 1 large-language-model 1 chatgpt 1 gpt4rec 1 foundation-model 1 cross-domainrecommendation 1 chatgpt4rec 1 chatgpt3 1 kiosk 1 information-bottleneck 1 social-recommendation 1 sigir2017 1 neural-collaborative-filtering 1 machine-learning 1 user-profiling 1 music-movie-book 1 trimming 1 recomender-system 1 cross-platform-recommendation 1 representation-learning 1 pruning 1 item-recommendation 1 general-purpose 1 continual-learning 1 multi-modal-recommendation 1