ShreenidhiN / Reinforcement-Learning-based-Movie-Recommendation
Recommender Systems are the systems designed to that are designed to recommend things to the user based on many different factors. These systems predict the most likely product that the users are most likely to purchase and are of interest to. Recommendations typically speed up searches and make it easier for users to access content they’re inte…
☆18Updated 2 years ago
Alternatives and similar repositories for Reinforcement-Learning-based-Movie-Recommendation
Users that are interested in Reinforcement-Learning-based-Movie-Recommendation are comparing it to the libraries listed below
Sorting:
- The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation…☆115Updated last year
- demo of running rl-based recommender systems locally☆11Updated 2 years ago
- MovieLens recommendation system using reinforcement learning (GYM + PPO)☆49Updated 4 years ago
- Recommendation system with actor and critic☆17Updated 2 years ago
- A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.☆20Updated last year
- Deep Reinforcement Learning for Movies Recommendation System☆80Updated 5 years ago
- Course project for https://deeppavlov.ai/rl_course_2020☆40Updated 2 years ago
- The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-m…☆13Updated 3 years ago
- ☆17Updated 3 years ago
- Project for Course : Reinforcement Learning☆15Updated 5 years ago
- Deep reinforcement learning for recommendation system☆182Updated 5 years ago
- DRGR: Deep Reinforcement learning based Group Recommender system☆24Updated 3 years ago
- implement basic and contextual MAB algorithms for recommendation system☆40Updated 3 years ago
- This is a DQN-based recommendation system for item-list recommendation and it finally achieved second place in the competition of RL-base…☆11Updated 3 years ago
- The purpose of this Personalized Music Recommendation Engine is to use reinforcement learning approach to build a music recommender syste…☆34Updated 7 years ago
- ☆23Updated 6 years ago
- A course recommendation system using the Coursera Courses dataset which contains over 3,000 courses.☆28Updated last year
- GHRS: Graph-based hybrid recommendation system with application to movie recommendation☆35Updated 6 months ago
- Music recommendations☆19Updated 4 years ago
- Interactive Recommender Systems Framework☆24Updated last year
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆52Updated last year
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆100Updated 3 years ago
- rushhan / Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch☆40Updated 2 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆23Updated 3 years ago
- Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.☆206Updated 3 years ago
- ☆12Updated 3 years ago
- ☆29Updated 3 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- ☆11Updated last year
- A Deep Learning Based Context-Aware Recommendation Library☆22Updated 6 months ago