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Materials for the "Recommendations 101" workshop at Galvanize on November 17, 2015.

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Graph-based Recommenders 101

Instructor: Caroline Harbitz

Software requirement

This workshop requires the following software:

  • Neo4j Community edition version 2.3.1

Head to Neo4j's website to download the latest version: http://neo4j.com/download/

How to get started

Mac or Windows

Use the Neo4j GUI that comes with the Mac or Windows installaion.

Mac or Linux
  1. Go to the directory where you'd like to install Neo4j. Then tar -xf neo4j-community-2.3.1-unix.tar.gz
  2. Then go into your Neo4j directory: cd neo4j-community-2.3.1/
  3. Start your Neo4j server: ./bin/neo4j start
  4. In your browser, head to: http://localhost:7474/
  5. When you're finished with your session, stop the server: ./bin/neo4j stop

Download the workshop material

If you have git installed, you can clone this tutorial by running this command in your terminal:

$ git clone https://github.com/cterp/rec101-galvanize-workshop.git

Note about the graph data

I wrote a web scraper using BeautifulSoup to parse hike information from the Washington Trails Association (WTA) website. Check them out to find your next hike: http://www.wta.org/

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Materials for the "Recommendations 101" workshop at Galvanize on November 17, 2015.

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