alternating-least-squares

There are 0 repository under alternating-least-squares topic.

muatik / openmp-examples
openmp examples
alternating-least-squares cpp learning-openmp multithreading openmp parallel parallel-computing
Language:C++ 126
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.
alternating-least-squares implicit-feedback knn rating rating-prediction recommendation-algorithm svd
Language:C++ 119
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).
cloudant python-flask-application spark spark-streaming hadoop kafka messagehub dsx notebook machine-learning alternating-least-squares bluemix redis collaborative-filtering biginsights ibm-bluemix bokeh hive ibm-biginsights jupyter-notebook
Language:Jupyter Notebook 100
hiroyuki-kasai / HybridPrecodingOpt
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
optimization optimization-algorithms mimo mimo-ofdm-matlab mmwave mmwave-5g-networks manifold-optimization manifold omp alternating-least-squares precoding matrix-factorization
Language:MATLAB 72
Cheng-Lin-Li / Spark
There are Python 2.7 codes and learning notes for Spark 2.1.1
python27 kmeans kmeans-clustering als apriori-algorithm minhash-lsh-algorithm minhash uv-decomposition alternating-least-squares savasere-omiecinski-and-navathe apriori-son spark map-reduce tf-idf cosine-similarity
Language:Python 24
HegdeChaitra / Yelp-Recommendation-System
Recommend Restaurants to User based on the ratings given by them to the restaurants
yelp yelp-recommender-system stochastic-gradient-descent alternating-least-squares singular-value-decomposition machine-learning
Language:Jupyter Notebook 19
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.
alternating-least-squares collaborative-filtering docker docker-compose machine-learning python-flask python-flask-application recommender-system spark spark-mllib
Language:Jupyter Notebook 15
KennethBenicio / MSc-Multilinear-Algebra
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
folding khatri-rao kronecker-product least-squares matlab multilinear-algebra multilinear-svd parafac python tensor-algebra tensor-operations unfolding als alternating-least-squares cpd tensor-product mathematics tensor-contraction tensor-train
Language:Jupyter Notebook 13
huspark / nonnegative-matrix-factorization
A python program that applies a choice of nonnegative matrix factorization (NMF) algorithms to a dataset for clustering.
nmf nonnegative-matrix-factorization topic-modeling clustering matrix-factorization multiplicative-updates least-squares alternating-least-squares active-set
Language:Python 12
SamueleMeta / recommender-systems
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
slim matrix-factorization recommender-system bayesian-optimization polimi elasticnet user-collaborative-filtering item-collaborative-filtering alternating-least-squares hybrid-recommender-system content-based-recommendation implicit-feedbacks rp3beta
Language:Python 12
chanddu / Movie-Recommender-System
Recommender System (Java, Apache Spark)
recommender-system collaborative-filtering alternating-least-squares apache-spark java8 movielens-dataset
Language:Java 8
qxmd / ImplicitMF
A set of matrix factorization techniques to provide recommendations for implicit feedback datasets.
alternating-least-squares implicit-feedback learning-to-rank matrix-factorization
Language:Python 7
hildar / RecSys-Retail
Recommender system in retail
alternating-least-squares catboost implicit lightgbm matrix-factorization nlp matplotlib numpy pandas
Language:Jupyter Notebook 6
friturier / java-als
A Java implementation of Alternating Least Squares (ALS).
als alternating-least-squares java machine-learning recommendation-engine
Language:Java 5
florianmorath / Computational-Intelligence-Lab
Computational Intelligence Lab project at ETH Zurich.
recommender-system svd matrix-factorization alternating-least-squares nmf-decomposition collaborative-filtering
Language:Jupyter Notebook 4
LinjianMa / pairwise-perturbation
Pairwise Perturbation: an efficient numerical algorithm for alternating least squares in tensor decompositions
tensor-decomposition ctf pairwise-perturbation alternating-least-squares
Language:C++ 4
ravichoudharyds / Pyspark_Recommendation_System
Recommendation System using MLlib and ML libraries on Pyspark
pyspark pyspark-mllib pyspark-machine-learning machine-learning recommender-system recommendation-system alternating-least-squares collaborative-filtering spark big-data hdfs
Language:Python 4
chaiitanyasangani88 / NextBook-Recommender-System
This repository explores recommendation engines from simple Matrix Factorization methods to NeurMF Methods
alternating-least-squares collaborative-filtering matrix-factorization recommendation-engine recommendation-system t-sne
Language:Jupyter Notebook 3
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.
als alternating-least-squares amazon amazon-reviews apache-kafka customer-reviews flask-application inferential-statistics machine-learning mongodb nosql product-recommendations product-recommender-system product-reviews pyspark spark-mllib statistical-inference supervised-learning web-application
Language:Jupyter Notebook 3
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.
recommender-systems slim matrix-factorization bayesian-optimization polimi elasticnet user-collaborative-filtering content-based-recommendation item-collaborative-filtering p3alpha alternating-least-squares implicit-feedbacks hybrid-recommender-system
Language:Python 3
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
6th-semester alternating-least-squares big-data films-reviews final-project jupyter-notebook netflix-prize pyspark recomender-system
Language:Jupyter Notebook 3
mrparth23 / CSE523-Machine-Learning-SSSR
CSE523 Machine Learning SSSR repository contains a movie recommendation system using KNN, ALS, and SVD algorithm.
machine-learning machine-learning-algorithms svd-matrix-factorisation alternating-least-squares knn-algorithm movie-recommendation
Language:Jupyter Notebook 3
ruivieira / python-als
A pure Python implementation of Alternating Least Squares (ALS)
als alternating-least-squares machine-learning python recommendation-engine
Language:Python 3
ruivieira / spark-als-streaming
A streaming BSGD ALS implementation for Apache Spark
alternating-least-squares apache-spark recommendation-engine spark-streaming stochastic-gradient-descent
Language:Scala 3
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.
alternating-least-squares collaborative-filtering content-based-recommendation cosine-similarity matrix-factorization python rbm recommendation-system recommender-system user-profiling mf-als
Language:Python 3
stefanpantic / als-recommender
Recommendation system using alternating least squares method
alternating-least-squares matrix-factorization recommender-system recommendation-system implicit als
Language:Python 3
StivenMetaj / Recommender_Systems_Challenge_2020
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
alternating-least-squares bayesian-optimization content-based-filtering elasticnet hybrid-recommender-system implicit-feedback item-collaborative-filtering matrix-factorization polimi recommender-system recommender-systems rp3beta slim user-collaborative-filtering
Language:Python 3
taylorhawks / videogame-recommender
ALS matrix factorization with PySpark
alternating-least-squares data-science docker pyspark recommender-system
Language:Jupyter Notebook 3
timajia / yet_another_recommender_system_tools
Yet Another Recommender System Tools
python recommender-system collaborative-filtering stochastic-gradient-descent alternating-least-squares
Language:Python 3
askmrsinh / kibitzer
Media Recommendations Using Big Data Analytics.
alternating-least-squares amazon-product-data big-data-analytics collaborative-filtering item-similarity rdf recommendation-system
Language:Scala 2
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.
matrix-factorization recommender-system recommendation-system alternating-least-squares implicit
Language:Jupyter Notebook 2
liyouzhang / Recommendation_System_for_Movies
Recommend movies based on users' ratings, users' features and movie features
recommender-system alternating-least-squares spark kmeans-clustering
Language:Jupyter Notebook 2
ruivieira / workshop-recommendation-engines
als alternating-least-squares apache-spark jupyter machine-learning python recommendation-engine workshop
Language:Jupyter Notebook 2
zhengyangb / music-recsys
🎵 Utilized the Spark engine to build and evaluate a music recommender system and accelerated query search from utilizing spatial data structure by using the Annoy
recommendation-system alternating-least-squares collaborative-filtering annoy
Language:Python 2
zuzannna / GardeningRecommendations
🤔 ✍️ Simple user-user recommendation system for gardening supplies to explain collaborative filtering and practice using Spark on Amazon product dataset 🌳 🌿
collaborative-filtering recommender-system cosine-similarity scikit-learn apache-spark spark alternating-least-squares matrix-factorization
Language:Jupyter Notebook 2
shib1111111 / SereneSounds
SereneSounds is a sophisticated music curation web app that leverages various recommendation techniques to provide users with diverse and personalized music suggestions.
alternating-least-squares collaborative-filtering graph-model music-curating music-features music-recommendation-system recommendation-engine similarity-detection tf-idf
Language:Jupyter Notebook 1

alternating-least-squares

muatik / openmp-examples

gasevi / pyreclab

snowch / movie-recommender-demo

hiroyuki-kasai / HybridPrecodingOpt

Cheng-Lin-Li / Spark

HegdeChaitra / Yelp-Recommendation-System

amitkumarusc / recommendation-system

KennethBenicio / MSc-Multilinear-Algebra

huspark / nonnegative-matrix-factorization

SamueleMeta / recommender-systems

chanddu / Movie-Recommender-System

qxmd / ImplicitMF

hildar / RecSys-Retail

friturier / java-als

florianmorath / Computational-Intelligence-Lab

LinjianMa / pairwise-perturbation

ravichoudharyds / Pyspark_Recommendation_System

chaiitanyasangani88 / NextBook-Recommender-System

huzaifakhan04 / amazon-product-recommendation-system-web-application-using-mongodb-pyspark-and-apache-kafka

Lodz97 / RecSys-PoliMi-2020

michael-halim / big-data-netflix

mrparth23 / CSE523-Machine-Learning-SSSR

ruivieira / python-als

ruivieira / spark-als-streaming

Salmaishak / RecommendationModel

stefanpantic / als-recommender

StivenMetaj / Recommender_Systems_Challenge_2020

taylorhawks / videogame-recommender

timajia / yet_another_recommender_system_tools

askmrsinh / kibitzer

dgrubis / Movie-Recommendations

liyouzhang / Recommendation_System_for_Movies

ruivieira / workshop-recommendation-engines

zhengyangb / music-recsys

zuzannna / GardeningRecommendations

shib1111111 / SereneSounds