Spring Boot + Heroku + GCloud + TravisCI + Docker + Ansible + Vagrant

Member contribution-based group recommender system

Analysis of massive data sets

Assignments and Exercises implemented during undergrad

My theisis which used ML to build a set of makeup recommendation based on users photo

Um sistema de recomendação híbrido de trabalhos acadêmicos para apoio a pesquisa científica, baseado em componentes de filtragem de informação, foi desenvolvido para Web, utilizando frameworks, tais como, Lucene, Mahout e Angular JS.

支持快速实现基于多元隐式反馈的BPR变体算法开源库

Social Media of documents

Job Finder is an interactive web application allowing users to search for available jobs nearby, favorite/unfavorite jobs and receive personalized recommendations from item-based recommendation.

Java implementation of collaborative filtering algorithm for a movie recommender

Games recommender system for the course advanced software engineering at the university of Klagenfurt.

A framework for REcommending LInks in SOcial Networks

Java Program that uses multiple data structures to recommend friends on social networks.

A project exploring matrix factorization algorithm based real-time recommender systems that can be used in futuristic augmented reality glasses.

A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.

In this project we build docker deployable adaptive recommendation engine for meals to maintain users’ nutritional intake and variety in upcoming meals using Flask. We encode preparation steps of recipes in vector space to find similarities between recipes using math formula. We develop interactive Android App for users to log daily meals.

A DIY version of a simple movie recommendation system.

Easily Score & Rank JSON-Encodable Objects with ML

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