IBM / elasticsearch-spark-recommender

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

Date Created 2017-03-30 (8 years ago)

Commits 131 (last one 4 years ago)

Stargazers 842 (0 this week)

Watchers 68 (0 this week)

Forks 267

License apache-2.0

This repository has been archived on Github

Ranking

RepositoryStats indexes 633,559 repositories, of these IBM/elasticsearch-spark-recommender is ranked #62,595 (90th percentile) for total stargazers, and #28,841 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,356/19,093.

IBM/elasticsearch-spark-recommender is also tagged with popular topics, for these it's ranked: python (#3,420/23457), elasticsearch (#170/774), jupyter (#120/576), spark (#110/553)

Other Information

IBM/elasticsearch-spark-recommender has 2 open pull requests on Github, 30 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 19 closed issues.

Homepage URL: https://developer.ibm.com/code/patterns/build-a-recommender-with-apache-spark-and-elasticsearch/

All Topics

spark python ibmcode jupyter elasticsearch

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The only known language in this repository is Jupyter Notebook

updated: 2025-03-28 @ 09:45am, id: 86702277 / R_kgDOBSr4xQ