maitray16 / Movie-Recommendation-using-LightFM
This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP loss function on the movielens dataset
☆9Updated 8 years ago
Alternatives and similar repositories for Movie-Recommendation-using-LightFM:
Users that are interested in Movie-Recommendation-using-LightFM are comparing it to the libraries listed below
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 6 years ago
- Recommendation algorithms based on MovieLens☆11Updated 5 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆51Updated 7 years ago
- A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…☆32Updated 6 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆70Updated 6 years ago
- uses collaborative and content based filtering techniques☆14Updated 8 years ago
- A hotel recommender system in python using hybrid approach of content based and collaborative filtering of hotel reviews by a user. Text …☆16Updated 10 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 5 years ago
- My Keras implementation of Matrix Factorization (MF) and Bayesian Personalized Ranking (BPR)☆29Updated 7 years ago
- Implementation of Deep Learning model for Recommendation System in Tensorflow☆13Updated 7 years ago
- scalable Recommeder System for e-commerece using LightFM package in python☆47Updated 5 years ago
- Official Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆71Updated 3 years ago
- building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe t…☆63Updated 8 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 6 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 5 years ago
- A fork from https://github.com/hexiangnan/neural_collaborative_filtering. Change keras version to v2.1.3, and use tensorflow as the back…☆25Updated 7 years ago
- Our solution for Recsys Challenge 2017.☆20Updated 6 years ago
- Using Deep Autoencoders for predictions of movie ratings.☆113Updated last year
- Predict and recommend the news articles, user is most likely to click in real time.☆30Updated 6 years ago
- Movie recommendation system built with factorization machines and deep learning☆10Updated 6 years ago
- ACM RecSys Challenge 2016: Job recommender system for XING☆8Updated 8 years ago
- Probabilistic Matrix Factorization with Social Trust for Recommendation (Ma et al. SIGIR 2009)☆19Updated 8 years ago
- A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.☆33Updated 6 years ago
- Recommendation Models in TensorFlow☆46Updated 6 years ago
- This is a repository in which we take part in the big data competition， focusing on recommendation system.☆18Updated 8 years ago
- Recommendation System using Collaborative Filtering☆16Updated 8 years ago
- Toy implementation of SLIM and SSLIM Recommendation methods.☆41Updated 6 years ago
- Model for the Event Recommendation Engine Challenge on Kaggle.com☆43Updated 12 years ago
- implement this paper "Collaborative Deep Learning for Recommender Systems" by python☆15Updated 6 years ago
- Multi-Contextual Learning to Rank Events☆23Updated 8 years ago