This is a repository containing a copy of a project I made for a course from NYU. It contains code and a report describing a modification of the matrix factorization method Alternating Least squares.

🎓 Final Project for Completing Bachelor Degree in Petra Christian University. Create Hybrid Recommender System for Interior Products and its Services using Data Implicit Feedback

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.

A MATLAB implementation of "Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares".

NLP + Classical ML projects(Regression analysis, Classification models etc)

Algorithm for finding discrete approximations of small multiplication tensors.

Homework repository for the 2022/23 course Mining massive datasets @FINKI

An anime recommendation engine that allows us to recommend anime based on a given anime title or a given user using Pyspark

Using Spark to analyze a dataset, public or self-collected, and drawing some insights from it

initial fork from

Scalable Book Recommender System - Apache Spark ML Lib

Developing a Model-based (Alternating Least Squares) Movie Recommendation System using Apache Spark and deploying on AWS EMR Cluster

Simple Content based and Collaborative Filtering Algorithms implementaion

Media Recommendations Using Big Data Analytics.

Recommendation System building for Daejun

Movies suggestions using ALS (inspired Netflix Challenge)

Matrix factorization using alternating least squares for movie recommendation

Recommender System 2019 Challenge PoliMi

A Machine Learning project that predicts how much a user would enjoy a movie based on its previous ratings given to watched movies.