fajieyuan / recommendation_transfer_learning_pretraining
Pre-training and Transfer learning papers for recommendation
☆18Updated 10 months ago
Alternatives and similar repositories for recommendation_transfer_learning_pretraining:
Users that are interested in recommendation_transfer_learning_pretraining are comparing it to the libraries listed below
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆20Updated 3 years ago
- ☆24Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆40Updated 4 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated 2 years ago
- Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation☆16Updated 3 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 4 years ago
- ☆34Updated 4 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated last year
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 4 years ago
- Contrastive Learning for Cold-start Recommendation☆64Updated 3 years ago
- ☆58Updated 8 months ago
- A box of core libraries for recommendation model development☆91Updated 2 months ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- Multi-order Attentive Ranking Model for Sequential Recommendation☆26Updated 5 years ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆43Updated 9 months ago
- Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…☆25Updated 3 years ago
- User-controllable Recommendation Against Filter Bubbles☆17Updated 2 years ago
- (RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]☆31Updated 8 months ago
- Adaptive Denoising Training (ADT) for Recommendation.☆69Updated 2 years ago
- ☆47Updated 5 months ago
- ☆41Updated 5 years ago
- ☆31Updated 4 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated 2 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆105Updated 2 years ago
- data and code of list continuation paper from WSDM 2020☆24Updated 4 years ago
- This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversar…☆33Updated 6 years ago
- ACL'21 Oral, Personalized Transformer for Explainable Recommendation☆88Updated 2 years ago
- Sentires: A Toolkit for Phrase-level Sentiment Analysis☆50Updated 3 years ago