alternating-least-squares
There are 80 repositories under alternating-least-squares topic.
muatik/openmp-examples
openmp examples
gasevi/pyreclab
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.
snowch/movie-recommender-demo
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
hiroyuki-kasai/HybridPrecodingOpt
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
Cheng-Lin-Li/Spark
There are Python 2.7 codes and learning notes for Spark 2.1.1
HegdeChaitra/Yelp-Recommendation-System
Recommend Restaurants to User based on the ratings given by them to the restaurants
amitkumarusc/recommendation-system
A movie recommendation system trained on the MovieLens 20 Million dataset. This system makes use of Collaborative filtering methods to come up with recommendations for a particular user.
KennethBenicio/MSc-Multilinear-Algebra
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
huspark/nonnegative-matrix-factorization
A python program that applies a choice of nonnegative matrix factorization (NMF) algorithms to a dataset for clustering.
SamueleMeta/recommender-systems
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
chanddu/Movie-Recommender-System
Recommender System (Java, Apache Spark)
qxmd/ImplicitMF
A set of matrix factorization techniques to provide recommendations for implicit feedback datasets.
hildar/RecSys-Retail
Recommender system in retail
friturier/java-als
A Java implementation of Alternating Least Squares (ALS).
huzaifakhan04/amazon-product-recommendation-system-web-application-using-mongodb-pyspark-and-apache-kafka
This repository includes a web application that is connected to a product recommendation system developed with the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB, PySpark, and Apache Kafka.
ravichoudharyds/Pyspark_Recommendation_System
Recommendation System using MLlib and ML libraries on Pyspark
florianmorath/Computational-Intelligence-Lab
Computational Intelligence Lab project at ETH Zurich.
LinjianMa/pairwise-perturbation
Pairwise Perturbation: an efficient numerical algorithm for alternating least squares in tensor decompositions
Lodz97/RecSys-PoliMi-2020
The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.
ruivieira/python-als
A pure Python implementation of Alternating Least Squares (ALS)
Salmaishak/RecommendationModel
Python scripts that implement collaborative filtering using Matrix Factorization with Alternating Least Squares (MF-ALS) for hotels and restaurants, Restricted Boltzmann Machines (RBM) for attractions, and content-based filtering using cosine similarity for the "More Like This" feature.
taylorhawks/videogame-recommender
ALS matrix factorization with PySpark
chaiitanyasangani88/NextBook-Recommender-System
This repository explores recommendation engines from simple Matrix Factorization methods to NeurMF Methods
ManishaLagisetty/Travel-Recommendation-System
Machine Learning, Python
michael-halim/big-data-netflix
🎥👨🔬 Big Data Final Project to create Recommendation System using Alternating Least Squares. This Recommendation uses explicit data such as rating as input to methods
mrparth23/CSE523-Machine-Learning-SSSR
CSE523 Machine Learning SSSR repository contains a movie recommendation system using KNN, ALS, and SVD algorithm.
ruivieira/spark-als-streaming
A streaming BSGD ALS implementation for Apache Spark
stefanpantic/als-recommender
Recommendation system using alternating least squares method
StivenMetaj/Recommender_Systems_Challenge_2020
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
timajia/yet_another_recommender_system_tools
Yet Another Recommender System Tools
askmrsinh/kibitzer
Media Recommendations Using Big Data Analytics.
dgrubis/Movie-Recommendations
This Jupyter Notebook outlines my process as I create a movie recommendation system using matrix factorization. I use the public 100k MovieLens dataset.
liyouzhang/Recommendation_System_for_Movies
Recommend movies based on users' ratings, users' features and movie features
shib1111111/SereneSounds
SereneSounds is a sophisticated music curation web app that leverages various recommendation techniques to provide users with diverse and personalized music suggestions.
VQHieu1012/Book-Recommendation-PySpark
Using PySpark Mlib and ALS model to create book recommendation