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305 search results found

Movie_recommend ⭐ 39

基于协同过滤和spark-als的电影推荐系统

Awesome Machine Learning Papers ⭐ 39

📖Notes and remarks on Machine Learning related papers

Deeplearning4recommendersystem ⭐ 39

deep learning for recommender system

Memory Based Collaborative Filtering ⭐ 38

高效的协同过滤算法实现——推荐系统

Recommendationengine ⭐ 37

[Deprecated] An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis

Gluonrank ⭐ 37

Ranking made easy

Neural Networks For Collaborative Filtering ⭐ 37

Deep Learning for Recommendation

Testing framework for Collaborative Filtering

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

Restricted Boltzmann Machine ⭐ 35

Restricted Boltzmann Machine for collaborative filtering of movies.

[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"

Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"

Retailbox ⭐ 34

🛍️RetailBox - eCommerce Recommender System using Machine Learning

🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Personalized real-time movie recommendation system

Bellkoralgorithm ⭐ 33

A Python implementation of the Bellkor Algorithm

Recommender ⭐ 33

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

Gmcf_neural_graph_matching_based_collaborative_filtering ⭐ 32

GMCF: Neural Graph Matching based Collaborative Filtering, SIGIR 2021

Keras Recommender ⭐ 32

Recommender built using keras

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

[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"

Graph Based Recommendation System ⭐ 29

building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.

Implementation of paper Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks

Variational Autoencoders Collaborative Filtering ⭐ 28

This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spotify data

Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"

Collaborativefiltering ⭐ 27

In-memory recommendation algorithm for Swift apps

Ml_projects ⭐ 26

Andrew Ng's Machine Learning Class Projects Description: Ex1 - Gradient Descent, Newton's Method, Linear Regression Ex2 - Sigmoid Kernels Ex3 - Logistic Regression Implementation Ex4 - Neural Networks implementation for Digit Recognition Ex5 - Regularized Linear Regression, Polynomial Regression Ex6 - SVM (Kernel implementation) for Spam Classification Ex8 - Recommender System (Collaborative Filtering) and Anomaly Detection

Sequential Variational Autoencoders for Collaborative Filtering

Deep Autoencoder Recommendation ⭐ 26

Keras implementation of AutoRec and DeepRecommender from Nvidia.

Ranking-Critical Training for Collaborative Filtering

Collaborative filtering with the GP-LVM

Movie_recommendation_engine ⭐ 23

This repository contains the code for building movie recommendation engine.

Recsys_autoencoders ⭐ 23

This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras

[WSDM'2023] "Heterogeneous Graph Contrastive Learning for Recommendation"

[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."

Cpsc540machinelearning ⭐ 22

Solutions to the assignments of the CPSC 540 Machine Learning course (2013) taught by Nando de Freitas

Tensorglue ⭐ 22

Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.

Spark Cassandra Collabfiltering ⭐ 22

Collaborative filtering with MLLib on Spark based on data in Cassandra

Neural Net Matrix Factorization ⭐ 22

Exploring neural networks (and variational inference) for collaborative filtering

[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"

RACF (Recency Aware Collaborative Filtering) is the implementation of the "Recency Aware Collaborative Filtering for Next Basket Recommendation" original paper. which is a set of collaborative filtering approaches for solving the problem of predicting the Next Basket Recommendation.

Bm3d Net ⭐ 21

Codes for bm3d-net

Recsys19_hybridsvd ⭐ 21

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

Recommender Systems Paper ⭐ 21

Must-read Papers for Recommender Systems (RS)

Machine_learing_algo_python ⭐ 21

implement the machine learning algorithms by python for studying

Recommender System ⭐ 21

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'

Collaboratory ⭐ 20

Laboratory for collaborative filtering

Ucl Drl Msc ⭐ 19

Learning to Recommend using a Deep Reinforcement Agent

Recommender Systems With Collaborative Filtering And Deep Learning Techniques ⭐ 19

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"

Recommendation System Baseline ⭐ 19

Some common recommendation system baseline, with description and link.

Cp User Behavior ⭐ 18

Recommendation engine using collaborative filtering and matrix factorization

Short-term and Life-time Repeat Consumption (SLRC) Model for Recommendation

Persa.jl ⭐ 17

Recommender System framework for Julia

ItemBased Collaborative Filtering in Apache Spark

machine learning framework for node.js

Movie Recommendation System ⭐ 16

Implementation of movie recommendation system using C

TensorFlow implementation of AutoRec

Movie Recommender Using Rbm ⭐ 16

A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.

Movie_recommendation_engine ⭐ 16

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

Recsys_spark ⭐ 16

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，协同过滤

Matrix Factorization ⭐ 16

Library for matrix factorization for recommender systems using collaborative filtering

Class Graph ⭐ 16

Cis Recommender

Qt c++ 图书推荐与评论系统GUI 协同过滤推荐 collaborative filtering, book recommendation System, Book-Crossing Dataset

Disentangled_graph_collaborative_filtering ⭐ 15

Disentagnled Graph Collaborative Filtering, SIGIR2020

NeuRec is a comprehensive and flexible Python library for recommendation models that includes a large range of state-of-the-art neural recommender models.

Neuralcf ⭐ 15

A fork from https://github.com/hexiangnan/neural_collaborative Change keras version to v2.1.3, and use tensorflow as the backend.

Mahout_collaborative_filtering ⭐ 15

Recommendation, Classification, Clustering in Java

Collaborative Filtering In Mysql ⭐ 15

collaborative filtering in mysql

SANSA - sparse EASE for millions of items

Self Attentive Ncf ⭐ 15

Source code for our Paper "Self-Attentive Neural Collaborative Filtering"

Trustsvd ⭐ 15

TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings

kNN-based next-basket recommendation

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

Pytorchcml ⭐ 14

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

Recommender Systems For Implicit Feedback Datasets ⭐ 14

Matrix Factorization augmented with customer item meta data

Csce670_ncf ⭐ 14

Neural Collaborative Filtering for CSCE670

Parallel_cf ⭐ 14

Parallel item-based collaborative filtering

Code for "Collaborative Filtering with User-Item Co-Autoregressive Models"

Datatheque.com ⭐ 13

a data science blog

Harvest.js ⭐ 13

Collaborative filtering with node, redis and lua

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Rnr_framework_for_recommendation ⭐ 12

The detialed codes written in Matlab R2015b version in paper "RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems "

[CIKM'23] "Toward a Better Understanding of Loss Functions for Collaborative Filtering"

Location Aware_deep_collaborative_filtering ⭐ 12

This is the implementation of our paper "Location-aware Deep Collaborative Filtering for Service Recommendation"

Collaborative_filtering ⭐ 12

Recommendation system for music.

Agritech ⭐ 12

Recommendation system for farmers based on soil type, location, season etc.

Recommender System ⭐ 12

User Based Collaborative Filtering ⭐ 11

User-based Collaborative Filtering in Python

Recommender Addon ⭐ 11

A node addon for recommendations

Recommendbyitemcf ⭐ 11

Hadoop mapreduce. 基于ItemCF的协同过滤物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF

Collaborativefiltering ⭐ 11

simple c++ implementation of collaborative filtering.

Recommendation Engine ⭐ 11

A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83

Dynamicindex ⭐ 11

C++ source code for the Dynamic Index algorithm proposed in "Efficient Similarity Computation for Collaborative Filtering in Dynamic Environments", as appeared in the proceedings of the 2019 ACM International Conference on Recommender Systems.

Deeprecommender ⭐ 11

Training Deep AutoEncoders for Collaborative Filtering

Related Searches

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