Mahout – Taste :: Part Two – Getting started – Trifork Blog
Mahout – Taste :: Part Two – Getting started This blog is a ‘getting started’ article and shows you how to build a simple web-based movie recommender with Mahout / Taste, Wicket and the Movielens dataset from Grouplens research group at the University of Minnesota. I will discuss which components you need, how to wire them up in Spring, and how to create a Wicket frontend for displaying movies and
TriJUG: Intro to Mahout Slides and Demo examples
Thoughts on Apache Lucene, Mahout, Solr, Tika and Nutch 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 raffle. Overall, I think it went we
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Mahout – Taste :: Part Three – Estimators – Trifork Blog
Mahout at India Hadoop Summit | PDF
http://old.nabble.com/Mahout-User-List-f32042.html
http://old.nabble.com/Why-user-id-and-item-id-must-be-long-type---td26403713.html
Lucidworks
Flexible Collaborative Filtering In JAVA With Mahout Taste
Mahout – Taste :: Part 1 – Introduction – Trifork Blog
IBM Developer
