Applied-Machine-Learning-Lab / RMTLLinks
☆28Updated last year
Alternatives and similar repositories for RMTL
Users that are interested in RMTL are comparing it to the libraries listed below
Sorting:
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆57Updated 4 years ago
- Source codes for our SIGIR '23 paper☆31Updated last year
- This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"☆77Updated last year
- ☆31Updated last year
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆81Updated 3 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆173Updated 9 months ago
- ☆55Updated 6 years ago
- ☆108Updated last year
- ☆58Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- ☆51Updated last year
- ☆24Updated 4 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆101Updated 9 months ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- A box of core libraries for recommendation model development☆90Updated last year
- Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework☆42Updated last year
- Contrastive Learning for Cold-start Recommendation☆71Updated 3 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆33Updated 4 years ago
- ☆74Updated 5 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 5 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Updated 4 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- ☆41Updated 6 years ago
- ☆21Updated 4 years ago