sukeshsangam / Deep-Learning-Model-for-Hybrid-Recommendation-Engine
A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor
☆30Updated 6 years ago
Alternatives and similar repositories for Deep-Learning-Model-for-Hybrid-Recommendation-Engine:
Users that are interested in Deep-Learning-Model-for-Hybrid-Recommendation-Engine are comparing it to the libraries listed below
- A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering☆17Updated 5 years ago
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆36Updated 6 years ago
- Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python☆56Updated 5 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆50Updated 7 years ago
- uses collaborative and content based filtering techniques☆14Updated 8 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆62Updated 4 years ago
- Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…☆183Updated 6 months ago
- Movie Recommendation System using the MovieLens dataset☆20Updated 6 years ago
- Building Recommender Systems with Machine Learning and AI, published by Packt☆100Updated 2 years ago
- Matrix Factorization augmented with customer item meta data☆22Updated 7 years ago
- This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP los…☆9Updated 7 years ago
- A recommender system built for book lovers.☆111Updated 5 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 5 years ago
- A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.☆34Updated 6 years ago
- Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html☆243Updated 7 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 6 years ago
- Recommendation Models in TensorFlow☆45Updated 6 years ago
- Recommendation System using ML and DL☆469Updated 2 years ago
- Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakban…☆18Updated 6 years ago
- Recommendation algorithms based on MovieLens☆11Updated 5 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 5 years ago
- Recommendation system for music.☆14Updated last year
- It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset☆71Updated 4 years ago
- A Hybrid Recommendation system which uses Content embeddings and augments them with collaborative features. Weighted Combination of embed…☆17Updated 2 years ago
- Movie recommendation system built with factorization machines and deep learning☆10Updated 5 years ago
- Recommendation System implementation which includes user based collaborative filtering, item based recommender and content boosted collab…☆19Updated 9 years ago
- My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning…☆27Updated 3 years ago
- This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras☆54Updated 5 years ago
- ☆33Updated 5 years ago