Spark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤
-
Updated
Dec 19, 2019 - Scala
Spark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤
(Class) Master's thesis source code. "A Distributed Recommender System on Apache Spark"
A movie recommender system
Spark MLLIB: Collaborative Filtering Movie Recommendation System
Streaming component of the project, which is written with Spark Streaming.
Project about recommendation systems, other platforms are in sight
Build a movie recommender system using Collaborative Filtering by leveraging Spark in Scala
A implementation in Scala of CF, Content Based, Sequential and hybrid recommender systems for Spark
Data Mining algorithm using Spark
Personalization of Supermarket Product Recommendations
Media Recommendations Using Big Data Analytics.
Deep learning for recommender systems
This is a movie recommendation system using collaborative filtering. This is build using scala and spark
Creating a recommender systems using Collaborative filtering on ratings data. Used Alternating least squares (ALS) algorithm to learn the latent factors.
Add a description, image, and links to the collaborative-filtering topic page so that developers can more easily learn about it.
To associate your repository with the collaborative-filtering topic, visit your repo's landing page and select "manage topics."