openmp examples
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Mar 25, 2019 - C++
alternating-least-squares - 技术专题
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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.
rating svd knn implicit-feedback rating-prediction recommendation-algorithm alternating-least-squares
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Sep 4, 2020 - C++
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…
redis machine-learning kafka spark hive hadoop notebook jupyter-notebook collaborative-filtering messagehub spark-streaming bluemix bokeh ibm-bluemix cloudant dsx alternating-least-squares python-flask-application biginsights ibm-biginsights
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Apr 17, 2023 - Jupyter Notebook
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
optimization matrix-factorization manifold optimization-algorithms omp mmwave alternating-least-squares mimo-ofdm-matlab manifold-optimization mmwave-5g-networks mimo precoding
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Jan 5, 2023 - MATLAB
There are Python 2.7 codes and learning notes for Spark 2.1.1
spark map-reduce minhash tf-idf kmeans als cosine-similarity python27 kmeans-clustering minhash-lsh-algorithm apriori-algorithm alternating-least-squares uv-decomposition savasere-omiecinski-and-navathe apriori-son
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Aug 21, 2018 - Python
Recommend Restaurants to User based on the ratings given by them to the restaurants
machine-learning yelp stochastic-gradient-descent singular-value-decomposition alternating-least-squares yelp-recommender-system
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May 26, 2018 - Jupyter Notebook
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
python matlab mathematics least-squares als cpd tensor-algebra tensor-contraction folding unfolding alternating-least-squares tensor-train kronecker-product parafac tensor-product multilinear-algebra tensor-operations khatri-rao multilinear-svd
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Jul 14, 2022 - Jupyter Notebook
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.
docker machine-learning spark docker-compose collaborative-filtering recommender-system python-flask spark-mllib alternating-least-squares python-flask-application
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Jan 6, 2020 - Jupyter Notebook
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
slim matrix-factorization recommender-system bayesian-optimization polimi elasticnet user-collaborative-filtering item-collaborative-filtering content-based-recommendation alternating-least-squares hybrid-recommender-system implicit-feedbacks rp3beta
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Mar 15, 2021 - Python
A python program that applies a choice of nonnegative matrix factorization (NMF) algorithms to a dataset for clustering.
clustering matrix-factorization least-squares topic-modeling nmf alternating-least-squares nonnegative-matrix-factorization active-set multiplicative-updates
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Jun 10, 2019 - Python
Machine Learning, Python
machine-learning collaborative-filtering cosine-similarity svd jaccard-similarity singular-value-decomposition content-based-recommendation alternating-least-squares k-nearest-neighbors appro
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Dec 20, 2023 - Jupyter Notebook
Recommender System (Java, Apache Spark)
apache-spark collaborative-filtering java8 recommender-system movielens-dataset alternating-least-squares
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Jul 25, 2018 - Java
A set of matrix factorization techniques to provide recommendations for implicit feedback datasets.
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Sep 3, 2018 - Python
Recommender system in retail
nlp numpy pandas matrix-factorization lightgbm matplotlib implicit alternating-least-squares catboost
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Feb 22, 2023 - Jupyter Notebook
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.
machine-learning mongodb nosql amazon web-application pyspark statistical-inference flask-application supervised-learning als apache-kafka inferential-statistics product-reviews spark-mllib customer-reviews alternating-least-squares amazon-reviews product-recommendations product-recommender-system
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Jun 26, 2023 - Jupyter Notebook
Recommendation System using MLlib and ML libraries on Pyspark
machine-learning big-data spark collaborative-filtering pyspark recommendation-system hdfs recommender-system alternating-least-squares pyspark-mllib pyspark-machine-learning
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Oct 7, 2019 - Python
Computational Intelligence Lab project at ETH Zurich.
collaborative-filtering matrix-factorization recommender-system svd alternating-least-squares nmf-decomposition
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Feb 24, 2019 - Jupyter Notebook
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.
slim matrix-factorization recommender-systems bayesian-optimization polimi elasticnet user-collaborative-filtering item-collaborative-filtering content-based-recommendation alternating-least-squares hybrid-recommender-system implicit-feedbacks p3alpha
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Nov 19, 2021 - Python
Recommendation system using alternating least squares method
matrix-factorization recommendation-system recommender-system implicit als alternating-least-squares
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May 25, 2020 - Python
A Java implementation of Alternating Least Squares (ALS).
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Oct 13, 2020 - Java