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cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets

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Cross-domain recommendation papers with deep learning

cross-domain recommendation,transfer learning,pre-training,self-supervise learning, contrastive learning,cold-start recommendation,user profile prediction.

Welcome to open an issue or make a pull request!

🤗 Resources: large-scale pre-training dataset for Cross-domain or Multimodal recommendation

Tenrec (NeurIPS2022): https://openreview.net/forum?id=PfuW84q25y9

NineRec (TPAMI2024): https://arxiv.org/pdf/2309.07705.pdf

PeterRec:https://github.com/fajieyuan/recommendation_dataset_pretraining

MicroLens (Invited Talk by Google DeepMind): https://arxiv.org/pdf/2309.15379.pdf

Ours

1 Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation SIGIR2020 https://arxiv.org/abs/2001.04253 (Tencent+Google)

Github:https://github.com/fajieyuan/SIGIR2020_peterrec

Keywords: self-supervise learning, user sequential behaviors, pretraining, transfer learning, user representation, user profile prediction, cold-start problem

2 One Person, One Model, One World: Learning Continual User Representation without Forgetting SIGIR2021 https://arxiv.org/abs/2009.13724 (Westlake+Tencent+Google)

Keywords: self-supervise learning, lifelong learning, pretraining, transfer learning, finetuning, user representation, user profile prediction, cold-start problem

Github:https://github.com/fajieyuan/SIGIR2021_Conure

3 Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training ICDM2021 https://fajieyuan.github.io/papers/ICDM2021.pdf (Tencent)

Keywords: contrative learnng, self-supervise learning, transfer learning, pretraining, finetuning, user representation, user profile prediction, cold-start problem

4 User-specific Adaptive Fine-tuning for Cross-domain Recommendations TKDE2021 https://arxiv.org/pdf/2106.07864.pdf(Tencent)

Keywords: adaptive finetuning, pretraining, cold-start problem, cross-domain recommendation

5 TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback (Westlake) ID-agnostic

Keywords: tranfer learning, pre-training, mixture-of-modality, content-based recommendation, general-purpose recommender system

We have also released large-scale dataset (over 1 million user clicking behaviors) for performing transfer learning of user preference in recommendation field

Other affiliations

1 Knowledge Transfer via Pre-training for Recommendation Tsinghua University 2021 frontiers

2 One4all User Representation for Recommender Systems in E-commerce NAVER CLOVA 2021

3 One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction CIKM2021 Ailabab

4 AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction Huawei 2021

5 Self-supervised graph learning for recommendation

6 DaRE: A Cross-Domain Recommender System with Domain-aware Feature Extraction and Review Encoder 2021

7 Self-supervised Learning for Large-scale Item Recommendations Google 2021

8 UserBERT: Self-supervised User Representation Learning Reject by ICLR2021

9 UPRec: User-Aware Pre-training for Recommender Systems AAAI2021

10 Cross Domain Recommendation Systems using Deep Learning

11 Personalized Transfer of User Preferences for Cross-domain Recommendation WSDM2022

12 Perceive your users in depth: Learning universal user representations from multiple e-commerce tasks Ailabab KDD2019

13 Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation

14 Self-supervised Graph Learning for Recommendation

15 Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation

16 Towards Universal Sequence Representation Learning for Recommender Systems