elasticsearch-spark-recommender

IBM

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

elasticsearch

View on GitHub Website

840 Stars

264 Forks

840 Watchers

Jupyter Notebook Language

apache-2.0 License

Cost to Build

$20.9K

Market Value

$80.2K

How is this calculated?

Growth over time

8 data points · 2021-07-01 → 2025-09-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about elasticsearch-spark-recommender

Question copied to clipboard

What is the IBM/elasticsearch-spark-recommender GitHub project? Description: "Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone elasticsearch-spark-recommender

Clone via HTTPS

git clone https://github.com/IBM/elasticsearch-spark-recommender.git

Clone via SSH

[email protected]:IBM/elasticsearch-spark-recommender.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the elasticsearch-spark-recommender issue tracker:

Open GitHub Issues

Similar to elasticsearch-spark-recommender

grafana elasticsearch FOSElasticaBundle crawler bookbrainz-site elastic4s elk-docker dev-setup zentral Opserver elasticsearch-HQ pipeline sentinl awesome-aws yii2-elasticsearch great-big-example-application gardening dejavu mirage kibana NewsBlur analysis-ik docker-elk elasticsearch-sql Linux-Tutorial searchkit elasticsearch-dump peek elastic vue-storefront