karlhigley / ranking-metrics-torch
Simple ranking metrics for PyTorch on CPU or GPU
☆14Updated 4 years ago
Alternatives and similar repositories for ranking-metrics-torch:
Users that are interested in ranking-metrics-torch are comparing it to the libraries listed below
- ☆18Updated 3 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms☆14Updated 2 years ago
- Personalized Item Exploration Processes for Recommendation☆14Updated 5 years ago
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆41Updated 2 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆18Updated 2 years ago
- Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).☆11Updated 3 years ago
- SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments☆29Updated 6 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆16Updated 3 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year
- Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables☆11Updated 6 years ago
- Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.☆15Updated 3 years ago
- "Zero-Training Sentence Embedding via Orthogonal Basis" paper implementation☆19Updated 6 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 3 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 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
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- ☆14Updated 7 years ago
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆55Updated last year
- Model for learning document embeddings along with their uncertainties☆35Updated last year
- ☆15Updated 2 years ago
- ☆16Updated 4 years ago
- ☆18Updated 2 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆53Updated 2 years ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 5 years ago
- ☆27Updated 7 years ago
- Code for the paper "What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation" at RecSys'20☆24Updated 2 years ago
- ☆10Updated 4 years ago
- Official details for: [1803.08493] Context is Everything: Finding Meaning Statistically in Semantic Spaces☆39Updated 5 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago