RiVal recommender system evaluation toolkit

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

Personalized real-time movie recommendation system

基于 Spark Streaming 的电影推荐系统

A simple movie recommendation api using apache mahout machine learning library.

Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

This is a personalization-based event recommendation systems for event search.

基于 Spark 的微服务推荐系统

A JavaFX music recommendation app that uses the Spotify API to create playlists.

🏠 DBsSA: Digital British-style student apartments, Stand-alone Deploy Version. (英式学生公寓数字化服务，单机部署版）

A Hybrid Recommendation model based on sentiment analysis on tweets and item based filtering to closely match preferred recommendation.

Movie / Film recommendation system built using Java utilizing knowledge graph technology.

Intellij plugin development to source-code recommendation

Book Recommendation Service

This project is an Android mobile application, written in Java programming language and implements a Recommender System using the k-Nearest Neighbors Algorithm. In this way the algorithm predicts the possible ratings of the users according to scores that have already been submitted to the system.

A Java console application that implements the factionality of the knn algorithm to find the similarity between a new user with only a few non zero ratings of some locations, find the k nearest neighbors through similarity score and then predict the ratings of the new user for the non rated locations.

Movie Recommendations like Netflix, Amezon Prime

Predict book ratings with item-based collaborative filtering on the Book-Crossing dataset