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

Using yelp data, we have built a restaurant recommendation system for individuals and organizations. For each of the Yelp users, we create a ALS model to recommend restaurants to user using users’ preference and previous user selected data. We propose a solution that would recommend restaurant to users and perform sentiment analysis on restauran…

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

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

Package provides java implementation of big-data recommend-er using Apache Spark

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

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.

This project looked at scalable machine learning for a movie recomemdantion set utilising ALS (alternative least squares) A NASA data set was used as a familiarisation to pySpark. The data was plotted using matplotlib.

Full stack machine learning music recommendation app using ALS collaborative filtering, built using Flask and PySpark

Recommender System project that uses Weighted Matrix Factorisation to learn user and items embeddings from a (sparse) feedbacks matrix, and uses them to perform user-specific suggestions

Simple Content based and Collaborative Filtering Algorithms implementaion

initial fork from

Scalable Book Recommender System - Apache Spark ML Lib

Numerical Linear Algebra In Machine Learning

Recommendation System building for Daejun

Movies suggestions using ALS (inspired Netflix Challenge)