# recommender
### * Building a Recommender with Apache Spark & Elasticsearch
### * This repo contains demo Jupyter notebooks illustrating the basics of how to use Apache Spark for generating ALS models from ratings data stored in Elasticsearch, saving the model factors to ES, and then using ES to serve real-time recommendations using the user and item factors.
Requirements
* 1.elasticsearch-spark JAR (version 5.3.0) on the classpath (https://www.elastic.co/downloads/past-releases/elasticsearch-apache-hadoop-5-3-0).
* 2.Spark 2.1.x (http://spark.apache.org/downloads.html).
* 3.Running instance of Elasticsearch 5.3.0 (https://www.elastic.co/downloads/past-releases/elasticsearch-5-3-0).
* 4.Elasticsearch vector scoring plugin installed (https://github.com/MLnick/elasticsearch-vector-scoring).
* 5.Jupyter (pip install jupyter).
spark课程设计作业：银行用户流式判断+垃圾邮件判断+电影推荐系统（三个spark实战项目）.zip （37个子文件） 
project_code_0711 SpamEmail 
part-r-00001-939c4239-aeb8-44a6-9c29-90d7ab74de65.snappy.parquet 1.84MB Spam_python.ipynb 22KB EmailSpam.ipynb 28KB
spam script .docx 159KB part-r-00000-939c4239-aeb8-44a6-9c29-90d7ab74de65.snappy.parquet 1.97MB bank-churn Churn_analysis%2Btraining.ipynb 96KB Churn+Analysis_scala.ipynb 1015KB Churn_Train_python.ipynb 24KB Churn_Python.ipynb 142KB CUST_SUM_CHINA.csv 923KB ChurnAnalysis.ipynb 678KB Churn_Train_scala.ipynb 25KB churn+Analysis+china(1) .ipynb 882KB Churn_Scala.ipynb 709KB ChurnModelTrainingCADS.ipynb 25KB Churn_Rate.csv 252B
spark-kernel-brunel-all-2.3.jar 2.05MB README.md 64B churn script.docx 775KB churn+Analysis+china .ipynb 882KB Churn+Analysis_python.ipynb 1MB CUST_SUM.csv 658KB
Capture3.PNG 20KB Capture2.PNG 8KB brunel Basic+Chart.ipynb 401KB Statistical+Graphics.ipynb 292KB
brunel.pptx 48KB Capture1.PNG 28KB spark_scala.scala 4KB recommender 
yelp dataset.txt 0B notebook使用.docx 249KB yelp_python_new.ipynb 44KB Recommand_scala.ipynb 12KB Creating a Scalable Recommender System with Spark & Elasticsearch.ipynb 438KB Enrich & Prepare MovieLens Dataset.ipynb 378KB README.md 851B Capture.PNG 11KB资源评论
k12140312142023-12-15感谢资源主的分享，很值得参考学习，资源价值较高，支持！
