Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Recommendationsystem	190	6 years ago			Python
Book recommender system using collaborative filtering based on Spark
Spark	119	2 years ago			JavaScript
GitHub Stars Sparklines ⚡️
Streaming Matrix Factorization	100	8 years ago	4	apache-2.0	Scala
Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems
Spark_als	68	5 years ago		mit	Java
基于spark-ml,spark-mllib,spark-streaming的推荐算法实现
Recommendmoteur	57	6 years ago			Scala
电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎
Movie Recommender Demo	50	2 years ago	1	apache-2.0	Jupyter Notebook
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
Php Statsd	30	10 years ago			PHP
simple statsd library and CI spark
Movies Analytics In Spark And Scala	24	3 years ago		apache-2.0
Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.
Spark After Dark	24	9 years ago			Scala

Click Through Rate Prediction	21	8 years ago	1	apache-2.0	Scala
Kaggle's click through rate prediction with Spark Pipeline API

Alternatives To Spark_als

Select To Compare

Recommendationsystem ⭐ 190

Book recommender system using collaborative filtering based on Spark

most recent commit 6 years ago

Spark ⭐ 119

GitHub Stars Sparklines ⚡️

most recent commit 2 years ago

Streaming Matrix Factorization ⭐ 100

Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems

most recent commit 8 years ago

Spark_als ⭐ 68

基于spark-ml,spark-mllib,spark-streaming的推荐算法实现

most recent commit 5 years ago

Recommendmoteur ⭐ 57

电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎

most recent commit 6 years ago

Movie Recommender Demo ⭐ 50

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

most recent commit 2 years ago

Php Statsd ⭐ 30

simple statsd library and CI spark

most recent commit 10 years ago

Movies Analytics In Spark And Scala ⭐ 24

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

most recent commit 3 years ago

Spark After Dark ⭐ 24

most recent commit 9 years ago

Click Through Rate Prediction ⭐ 21

Kaggle's click through rate prediction with Spark Pipeline API

most recent commit 8 years ago

Suggest An Alternative To Spark_ALS

Alternative Project Comparisons

Spark_als vs Recommendationsystem

Spark_als vs Spark

Spark_als vs Streaming Matrix Factorization

Spark_als vs Recommendmoteur

Spark_als vs Movie Recommender Demo

Spark_als vs Php Statsd

Spark_als vs Movies Analytics In Spark And Scala

Spark_als vs Spark After Dark

Spark_als vs Click Through Rate Prediction

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