kilolgupta / Variational-Autoencoders-Collaborative-FilteringLinks
This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spotify data
☆34Updated 4 years ago
Alternatives and similar repositories for Variational-Autoencoders-Collaborative-Filtering
Users that are interested in Variational-Autoencoders-Collaborative-Filtering are comparing it to the libraries listed below
Sorting:
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 4 years ago
- ☆74Updated 8 years ago
- Autorec (Autoencoders Meet Collaborative Filtering)☆137Updated 7 years ago
- Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".☆139Updated 6 years ago
- Hierarchical Gating Networks for Sequential Recommendation☆143Updated 4 years ago
- PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)☆149Updated 6 years ago
- Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018☆46Updated 6 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated 2 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆149Updated 6 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆112Updated 5 years ago
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆272Updated 5 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆119Updated last year
- An implementation of "Recurrent Recommender Networks" with Tensorflow.☆33Updated 7 years ago
- Bayesian Personalized Ranking using PyTorch☆140Updated 10 months ago
- ☆101Updated 5 years ago
- ☆134Updated 8 years ago
- Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"☆216Updated 3 years ago
- Implementation of the "Deep Matrix Factorization Models for Recommender Systems"☆210Updated 7 years ago
- models for grocery shopping behavior (Wan et al, CIKM'18, Wan et al, WWW'17)☆53Updated 7 years ago
- Collaborative Translational Metric Learning (ICDM 2018)☆18Updated 4 years ago
- Adversarial Learning, Matrix Factorization, Recommendation☆217Updated 6 years ago
- A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆77Updated 7 years ago
- Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k |…☆176Updated 6 years ago
- ☆71Updated 6 years ago
- Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation☆139Updated 7 years ago
- Official Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆72Updated 4 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆36Updated 5 years ago
- Keras implementation of GRU4Rec session-based recommender system☆106Updated last year
- This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of exist…☆153Updated 4 years ago
- A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)☆108Updated 3 years ago