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
tutorials [Auton Lab]
By: Jeff Schneider, Mary Soon Lee, Andrew Moore Description: A tutorial on using the Windows Vizier software, which provides a GUI for doing fast and autonomous locally weighted learning and nearest neighbor style learning. The Vizier software itself is available for free download at http://www.cs.cmu.edu/~awm/vizier, where you will find more details. Description: This is a link to the Auton Codin
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Mahout – Taste :: Part Three – Estimators – Trifork Blog
Mahout – Taste :: Part 1 – Introduction – Trifork Blog
