MLlib-Collaborative Filtering

This extension is based on the Collaborative Filtering algorithm part of MLlib. MLlib is Spark's machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. In this repository it is included the IBM SPSS Modeler Extension and a sample stream with the training and testing dataset.

• Learn more about Spark MLlib
• Learn more about Collaborative Filtering

---

Requirements

• IBM SPSS Modeler v17.1
• IBM SPSS Analytic Server 2.1

More information here: IBM Predictive Extensions

---

Installation instructions

1. Download the extension: Download
2. Close IBM SPSS Modeler. Save the .cfe file in the CDB directory, located by default on Windows in "C:\ProgramData\IBM\SPSS\Modeler\17.1\CDB" or under your IBM SPSS Modeler installation directory.
3. Restart IBM SPSS Modeler, the node will now appear in the Model palette.

---

License

Apache 2.0

Contributors

• Niall McCarroll
• Armand Ruiz (armand_ruiz)

MLlib-CF

Spark MLLib Collaborative filtering commonly used for recommender systems.