nikolakopoulos / Personalized-Diffusions
Personalized Item Exploration Processes for Recommendation
☆14Updated 5 years ago
Alternatives and similar repositories for Personalized-Diffusions:
Users that are interested in Personalized-Diffusions are comparing it to the libraries listed below
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 3 years ago
- ☆9Updated 4 years ago
- SDMR recommendation model -- WWW 2019☆7Updated 5 years ago
- ☆22Updated 2 years ago
- ☆16Updated 4 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 3 years ago
- ☆10Updated 10 years ago
- Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.☆25Updated 5 years ago
- Discrete Factorization Machines☆10Updated 6 years ago
- Batch IS NOT Heavy: Learning Word Representations From All Samples☆10Updated 6 years ago
- code for ResSys'18 paper: "Exploring Recommendations Under User-Controlled Data Filtering"☆23Updated 6 years ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆12Updated 2 years ago
- SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments☆29Updated 6 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- Scalable Recommendation Algorithms☆33Updated 5 years ago
- Ranking-Critical Training for Collaborative Filtering☆36Updated 9 months ago
- Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python☆15Updated 7 years ago
- Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.☆36Updated 4 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆16Updated 3 years ago
- Simple ranking metrics for PyTorch on CPU or GPU☆14Updated 4 years ago
- Graphical Model for Recommender Systems☆20Updated 8 years ago
- Causal inference for recommendation☆24Updated 6 years ago
- Multi-Contextual Learning to Rank Events☆23Updated 8 years ago
- ☆18Updated 2 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 6 years ago
- Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020☆19Updated 4 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- RankDCG: ranking/ordering evaluation measure☆38Updated 3 years ago