Grant’s Grunts: Lucene Edition

First off, big thank you to TriJUG and all the attendees for allowing me to present Apache Mahout last night.  Also a big thank you to Red Hat for providing a most excellent meeting space.  Finally, to Manning Publications for providing vouchers for Taming Text and Mahout In Action for the end of the night [...]

For those who live in the Triangle, I’ll be giving an intro talk on Mahout next Monday.  See Welcome to the Triangle Java Users Group for more details.  Due note the location is no longer in RTP, but at the Red Hat campus at NCSU.
Hope to see you there!

All you Mahout’s out there might find some background help in Bradford Cross’ blog post: Measuring Measures: Learning About Statistical Learning.

Details and RSVP at: SFBay Apache Lucene/Solr Meetup San Mateo, CA – Meetup.com.

Very cool, Manning already has up the first 6 chapters of Mahout in Action.

The article based on my interview with Alex Handy of the SD Times is now published at: Apache moves forward with machine-learning project – SD Times: Software Development News.

Flexible Collaborative Filtering In JAVA With Mahout Taste « Java. Internet. Algorithms. Ideas..
Nice writeup on one person’s experience getting started using Mahout Taste for building a recommendation system.

I can’t read it, but my IBM devWorks article on Apache Mahout has been translated to Japanese.  Check it out: Apache Mahout の紹介.

My first article on Apache Mahout was just published on IBM devWorks.  It’s targeted at people just getting started with machine learning and Mahout.   You can read the article at Introducing Apache Mahout.  Feedback welcome.

Sean Owen, Apache Mahout committer has put up a brief post stating that Mippin is using Apache Mahout for it’s recommendation system.
Read it: Mippin Blog: May We Recommend….