Predict and recommend the news articles, user is most likely to click in real time.
☆32Apr 3, 2018Updated 8 years ago
Alternatives and similar repositories for Contextual-Bandit-News-Article-Recommendation
Users that are interested in Contextual-Bandit-News-Article-Recommendation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementing LinUCB and HybridLinUCB in Python.☆49May 15, 2018Updated 7 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆47Nov 15, 2017Updated 8 years ago
- Contextual bandit in python☆112Jul 7, 2021Updated 4 years ago
- The resources for the paper "User Modeling with Click Preference and Reading Satisfaction for News Recommendation"☆11Jan 17, 2021Updated 5 years ago
- Uplifted Contextual Multi-Armed Bandit☆19May 4, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire☆33Feb 2, 2023Updated 3 years ago
- A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm☆27Feb 7, 2022Updated 4 years ago
- Non-stationary Off-policy Evaluation☆13Nov 8, 2018Updated 7 years ago
- ☆50Jul 4, 2020Updated 5 years ago
- Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendati…☆21Apr 4, 2024Updated 2 years ago
- ☆38Mar 28, 2022Updated 4 years ago
- ☆41Nov 16, 2022Updated 3 years ago
- The code to reproduce the experimental results for "A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation".☆12Mar 18, 2021Updated 5 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆21Feb 17, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…☆120Dec 22, 2019Updated 6 years ago
- Contextual Bandit Algorithms (+Bandit Algorithms)☆22Oct 18, 2019Updated 6 years ago
- Python application to setup and run streaming (contextual) bandit experiments.☆85Sep 4, 2025Updated 7 months ago
- Experimentation for oracle based contextual bandit algorithms.☆33Sep 12, 2022Updated 3 years ago
- Implementation of importance sampling, direct, and hybrid methods for off-policy evaluation.☆16Mar 28, 2020Updated 6 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆101Dec 14, 2021Updated 4 years ago
- Multi-Armed Bandit Algorithms Library (MAB)☆135Sep 6, 2022Updated 3 years ago
- Recommendation models that use binary rather than floating point operations at prediction time.☆21Sep 18, 2017Updated 8 years ago
- ☆83Jan 21, 2019Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Source code for "Graph Neural News Recommendation with User Existing and Potential Interest Modeling"☆11Feb 21, 2022Updated 4 years ago
- Deep Reinforcement Learning for Movies Recommendation System☆82Jan 5, 2020Updated 6 years ago
- ☆51Jan 3, 2021Updated 5 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Nov 26, 2019Updated 6 years ago
- Notes for short course on econometrics in Stan☆13Jun 17, 2017Updated 8 years ago
- Code for 'Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation' accepted to WSDM 2024☆13Aug 1, 2025Updated 8 months ago
- Discussion for Stan for economists☆10Mar 29, 2016Updated 10 years ago
- Implementation of various multi-armed bandits algorithms on a 10-arm testbed.☆38Jan 16, 2020Updated 6 years ago
- scripts for evaluation of contextual bandit algorithms☆46Apr 27, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆27Feb 14, 2018Updated 8 years ago
- alvd = A Lightweight Vald. A lightweight distributed vector search engine works without K8s.☆49Jun 4, 2021Updated 4 years ago
- Hypothesis testing (Parametric/Non-Parametric)☆11Oct 8, 2019Updated 6 years ago
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation☆12Mar 24, 2023Updated 3 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆131Sep 10, 2019Updated 6 years ago
- Clustering documents based on LSH☆14Apr 20, 2016Updated 9 years ago