Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

Build a movie recommender system using Collaborative Filtering by leveraging Spark in Scala

Deep learning for recommender systems

Project about recommendation systems, other platforms are in sight

Personalization of Supermarket Product Recommendations

Media Recommendations Using Big Data Analytics.

Spark MLLIB: Collaborative Filtering Movie Recommendation System

(Class) Master's thesis source code. "A Distributed Recommender System on Apache Spark"

A implementation in Scala of CF, Content Based, Sequential and hybrid recommender systems for Spark

Data Mining algorithm using Spark

A movie recommender system

Creating a recommender systems using Collaborative filtering on ratings data. Used Alternating least squares (ALS) algorithm to learn the latent factors.

This is a movie recommendation system using collaborative filtering. This is build using scala and spark

Streaming component of the project, which is written with Spark Streaming.

🍿 A scalable movie recommendation engine built with Apache Spark. Features collaborative filtering (ALS), Locality-Sensitive Hashing (LSH), and advanced vector search (HNSW).