shirishjain / Music-Recommender-EngineLinks
The purpose of this Personalized Music Recommendation Engine is to use reinforcement learning approach to build a music recommender system and to formulate the problem of interactive recommendation as a contextual multi-armed bandit, learning user preferences recommending new songs and receiving their ratings.
☆34Updated 7 years ago
Alternatives and similar repositories for Music-Recommender-Engine
Users that are interested in Music-Recommender-Engine are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning for Movies Recommendation System☆80Updated 5 years ago
- Music recommendations☆19Updated 4 years ago
- Deep reinforcement learning for recommendation system☆183Updated 6 years ago
- ☆23Updated 6 years ago
- The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…☆119Updated 5 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆51Updated 7 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆129Updated 5 years ago
- Learning to Recommend using a Deep Reinforcement Agent☆23Updated 8 years ago
- KKBox's Music Recommendation Challenge on Kaggle.☆32Updated 4 years ago
- The code to reproduce the experimental results for "A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation".☆13Updated 4 years ago
- Several sequential recommended models implemented by tenosrflow1.x☆118Updated 4 years ago
- Movie Recommendation System using the MovieLens dataset☆19Updated 7 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 years ago
- ☆55Updated 5 years ago
- ☆133Updated 7 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated 2 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆49Updated 2 years ago
- Autorec (Autoencoders Meet Collaborative Filtering)☆137Updated 7 years ago
- This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations☆106Updated 7 years ago
- Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation☆139Updated 6 years ago
- A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)☆107Updated 2 years ago
- RL Recommendation System☆13Updated 5 years ago
- Hierarchical Gating Networks for Sequential Recommendation☆140Updated 3 years ago
- Hierarchical User Profiling for E-commerce RecommenderSystems, WSDM 2020☆46Updated 3 years ago
- Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".☆139Updated 6 years ago
- ☆100Updated 5 years ago
- DRGR: Deep Reinforcement learning based Group Recommender system☆24Updated 4 years ago
- Sequential Recommender System based on Hierarchical Attention Network☆70Updated 6 years ago
- Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems☆300Updated 2 years ago
- A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range…☆106Updated 3 years ago