 RL4RS
 RL4RS 
 Recommender system toolkit
 A collection of real-world datasets and practical reinforcement learning baselines for recommendation systems.
A Real-World Benchmark for Reinforcement Learning based Recommender System
220 stars
 6 watching
 26 forks
 
Language: Python 
last commit: over 1 year ago 
Linked from   1 awesome list  
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | A comprehensive library of algorithms and techniques for building recommender systems | 1,102 | 
|  | A repository of public data sources for Recommender Systems. | 887 | 
|  | A framework for building and deploying scalable recommendation algorithms | 1,814 | 
|  | A framework for building and evaluating recommender systems using reinforcement learning | 51 | 
|  | A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner | 1,893 | 
|  | A Python framework for building recommendation systems using TensorFlow. | 1,277 | 
|  | A library providing a comprehensive set of metrics and tools for evaluating recommender systems | 278 | 
|  | A Django-based website demonstrating how to implement recommender algorithms with a dataset from themoviedb.org API. | 909 | 
|  | Provides a unified toolkit for constructing, computing, and optimizing intrinsic reward modules in reinforcement learning | 373 | 
|  | A deep learning-based recommendation system framework for Ruby | 36 | 
|  | A toolkit for storing and manipulating episodic data in reinforcement learning and related tasks. | 302 | 
|  | A library for building and using collaborative filtering-based recommender systems | 1,477 | 
|  | A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 897 | 
|  | A C-based system for predicting product recommendations using collaborative filtering algorithms | 266 | 
|  | A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |