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Search results for recommendation system autoencoder

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3 search results found

Next RecSys Library

Variational autoencoders for collaborative filtering

Metarec ⭐ 282

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

Artificio ⭐ 269

Deep Learning Computer Vision Algorithms for Real-World Use

Rnn_recsys ⭐ 122

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Rectorch ⭐ 104

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Collaborative Deep Learning For Recommender Systems ⭐ 58

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Large scale training of factorization models for Collaborative Filtering with PyTorch

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21

Deep Autoencoder Recommendation ⭐ 26

Keras implementation of AutoRec and DeepRecommender from Nvidia.

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

Course Recommendation System ⭐ 18

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

Aae Recommender ⭐ 15

Adversarial Autoencoders for Recommendation Tasks

A Java framework to build semantics-aware autoencoder neural network from a knowledge-graph.

Movie Recommender System ⭐ 12

Deeprecommender ⭐ 11

Training Deep AutoEncoders for Collaborative Filtering

Hybrid Recommender ⭐ 9

Hybrid recommendation engine using deep learning that incorporates user and item features, including images and text.

Movie Recommendation System Using Autoencoders ⭐ 9

Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset

This is the repository for our paper "GAN-based Matrix Factorization for Recommender Systems" accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22).

GHRS: Graph-based hybrid recommendation system with application to movie recommendation

Flexencoder ⭐ 5

Deep Autoencoder for Recommender Systems: Parameter Influence Analysis

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