Alternatives and similar repositories for Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix:

Users that are interested in Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix are comparing it to the libraries listed below

• MengtingWan / grocery
  models for grocery shopping behavior (Wan et al, CIKM'18, Wan et al, WWW'17)
  ☆53Updated 6 years ago
• DefuLian / recsys
  recommendation system written by matlab codes
  ☆47Updated 5 years ago
• noveens / svae_cf
  [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
  ☆41Updated 3 years ago
• kilolgupta / Variational-Autoencoders-Collaborative-Filtering
  This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spo…
  ☆34Updated 3 years ago
• eelxpeng / CollaborativeVAE
  ☆75Updated 7 years ago
• adamzjw / Probabilistic-matrix-factorization-in-Python
  Probabilistic matrix factorization (PMF) in Python
  ☆48Updated 8 years ago
• fuhailin / Probabilistic-Matrix-Factorization
  Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k |…
  ☆171Updated 5 years ago
• BartyzalRadek / contextual-bandits-recommender
  Implementing LinUCB and HybridLinUCB in Python.
  ☆47Updated 6 years ago
• xiaoouzhang / Collaborative-Deep-Learning-for-Recommender-Systems
  The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …
  ☆70Updated 6 years ago
• gtshs2 / Autorec
  Autorec (Autoencoders Meet Collaborative Filtering)
  ☆136Updated 6 years ago
• antonismand / Personalized-News-Recommendation
  Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
  ☆99Updated 3 years ago
• sh0416 / bpr
  Bayesian Personalized Ranking using PyTorch
  ☆134Updated last month
• familyld / DeepCF
  DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
  ☆66Updated 2 years ago
• hexiangnan / adversarial_personalized_ranking
  Adversarial Learning, Matrix Factorization, Recommendation
  ☆216Updated 6 years ago
• Leavingseason / NeuralCF
  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
• NalinDadhich / Recommending-the-Recommenders
  Finding relevant source domain for a cross-domain recommendation system using Unified Content-based Collaborative Filtering (CCCFNet mode…
  ☆19Updated 6 years ago
• js05212 / CDL
  Official Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
  ☆71Updated 3 years ago
• AaronHeee / Neural-Attentive-Item-Similarity-Model
  TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018
  ☆147Updated 5 years ago
• cheungdaven / recommendation
  Implementation of SVD and SVD++ for recommendation
  ☆33Updated 8 years ago
• Wang-Shuo / Neural-Attentive-Session-Based-Recommendation-PyTorch
  A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
  ☆106Updated 2 years ago
• nikolakopoulos / RecWalk
  Implementation of the RecWalk recommendation algorithm
  ☆25Updated 6 years ago
• pcy1302 / TransCF
  Collaborative Translational Metric Learning (ICDM 2018)
  ☆17Updated 3 years ago
• duxy-me / ConvNCF
  Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
  ☆139Updated 5 years ago
• rudolfsteiner / CollaborativeFilteringV3
  TimeSVD++ model: Recommender system using Matrix Factorization techniques, while utilize temporal models to extend models accuracy.
  ☆24Updated 6 years ago
• guoyang9 / BPR-pytorch
  A pytorch implementation for BPR (Bayesian Personalized Ranking).
  ☆141Updated 5 years ago
• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆74Updated 8 years ago
• xiangwang1223 / neural_social_collaborative_ranking
  Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017
  ☆39Updated 5 years ago
• ylongqi / unbiased-offline-recommender-evaluation
  ☆35Updated 6 years ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated last year
• Zziwei / Heater--Cold-Start-Recommendation
  Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
  ☆42Updated 4 years ago