https://sites.google.com/cornell.edu/recsys2021tutorial
☆58Mar 21, 2022Updated 3 years ago
Alternatives and similar repositories for recsys2021-tutorial
Users that are interested in recsys2021-tutorial are comparing it to the libraries listed below
Sorting:
- ☆15Dec 14, 2020Updated 5 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Dec 15, 2022Updated 3 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆15Aug 2, 2021Updated 4 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Jan 21, 2022Updated 4 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Jul 16, 2023Updated 2 years ago
- Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation☆692Jun 3, 2024Updated last year
- ☆51Jan 3, 2021Updated 5 years ago
- Implementation of safe offline bandit algorithms.☆10Oct 27, 2019Updated 6 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Jul 6, 2023Updated 2 years ago
- (ICML2022) Off-Policy Evaluation for Large Action Spaces via Embeddings☆21Jul 27, 2022Updated 3 years ago
- ☆12Aug 13, 2022Updated 3 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Aug 14, 2022Updated 3 years ago
- Estimators to perform off-policy evaluation☆13Sep 3, 2024Updated last year
- Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendad…☆59Sep 30, 2020Updated 5 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Mar 25, 2023Updated 2 years ago
- Implementations and examples of common offline policy evaluation methods in Python.☆224Feb 11, 2023Updated 3 years ago
- A Collection of Public Recommender System Dataset☆11Feb 10, 2021Updated 5 years ago
- ☆32Feb 21, 2025Updated last year
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆71Jun 4, 2021Updated 4 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆19Nov 21, 2022Updated 3 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Jan 13, 2022Updated 4 years ago
- Recommendation models that use binary rather than floating point operations at prediction time.☆21Sep 18, 2017Updated 8 years ago
- Offline evaluation of multi-armed bandit algorithms☆23Dec 1, 2020Updated 5 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆35May 18, 2020Updated 5 years ago
- ☆89Jul 30, 2024Updated last year
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Nov 2, 2017Updated 8 years ago
- Mend Your Learning Approach, Not the Data for Ranking E-Commerce Products☆23Mar 31, 2020Updated 5 years ago
- Python scripts for studying bias in recommender systems☆19Mar 21, 2023Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆26Jun 22, 2023Updated 2 years ago
- Effective sampling methods within TensorFlow input functions.☆10Mar 24, 2023Updated 2 years ago
- CSV inspection☆10Dec 20, 2022Updated 3 years ago
- Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).☆11Apr 13, 2021Updated 4 years ago
- ☆23Dec 19, 2022Updated 3 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Aug 23, 2021Updated 4 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Nov 21, 2022Updated 3 years ago
- scripts for evaluation of contextual bandit algorithms☆45Apr 27, 2020Updated 5 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Jun 25, 2024Updated last year
- DreamBank Visualized - An interactive visualization of over 26,000 dream transcriptions☆15Jun 16, 2018Updated 7 years ago
- Simple implementation of CoveringLSH☆10Jan 22, 2016Updated 10 years ago