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Subject svn commit: r886973 - in /websites/staging/mahout/trunk/content: ./ general/powered-by-mahout.html
Date Sun, 17 Nov 2013 15:15:50 GMT
Author: buildbot
Date: Sun Nov 17 15:15:49 2013
New Revision: 886973

Staging update by buildbot for mahout

    websites/staging/mahout/trunk/content/   (props changed)

Propchange: websites/staging/mahout/trunk/content/
--- cms:source-revision (original)
+++ cms:source-revision Sun Nov 17 15:15:49 2013
@@ -1 +1 @@

Modified: websites/staging/mahout/trunk/content/general/powered-by-mahout.html
--- websites/staging/mahout/trunk/content/general/powered-by-mahout.html (original)
+++ websites/staging/mahout/trunk/content/general/powered-by-mahout.html Sun Nov 17 15:15:49
@@ -381,7 +381,8 @@
   <div id="content-wrap" class="clearfix">
    <div id="main">
-    <ul>
+    <h1 id="powered-by-mahout">Powered by Mahout</h1>
 <li><a href="#PoweredByMahout-Intro">Intro</a></li>
 <li><a href="#PoweredByMahout-CommercialUse">Commercial Use</a></li>
 <li><a href="#PoweredByMahout-AcademicUse">Academic Use</a></li>
@@ -389,7 +390,7 @@
 <p><a name="PoweredByMahout-Intro"></a></p>
 <h1 id="intro">Intro</h1>
-<p>Are you using Mahout to do Machine Learning?  Care to share?</p>
+<p>Are you using Mahout to do Machine Learning?  Care to share? Developers of the project
always are happy to learn about new happy users with interesting use cases.</p>
 <p><em>NOTE: Please add links in alphabetical order.  Links here do NOT imply
 endorsement by Mahout, its committers or the Apache Software Foundation and
 are for informational purposes only.</em></p>
@@ -397,18 +398,18 @@ are for informational purposes only.</em
 <h1 id="commercial-use">Commercial Use</h1>
 <li>Adobe AMP uses Mahout's clustering algorithms to increase video
-consumption by better user targeting. See <a href=""></a></li>
+consumption by better user targeting. See <a href=""></a></li>
 <li>Accenture uses Mahout as typical example for their <a href="">Hadoop
Deployment Comparison Study</a></li>
-<li>Amazon's Personalization Platform -- See <a href=""></a></li>
-<li><a href="">AOL </a>
- use Mahout for shopping recommendations. See []</li>
-<li><a href="">Booz Allen Hamilton </a>
- uses Mahout's clustering algorithms. See []</li>
+<li>Amazon's Personalization Platform -- See <a href="">Job
+<li><a href="">AOL</a>
+ use Mahout for shopping recommendations. See <a href="">slide
+<li><a href="">Booz Allen Hamilton</a>
+ uses Mahout's clustering algorithms. See <a href="">slide
 <li><a href="">Buzzlogic</a>
  uses Mahout's clustering algorithms to improve ad targeting</li>
 <li><a href=""></a>
  uses modified Mahout algorithms for content recommendations</li>
-<li>!! <a href="">DataMine
+<li><img alt="DatamineLab" src="" /> <a
href="">DataMine Lab</a>
  uses Mahout's recommendation and clustering algorithms to improve our
 clients' ad targeting.</li>
 <li><a href="">Drupal</a>
@@ -416,8 +417,7 @@ clients' ad targeting.</li>
 <li><a href="">Evolv </a>
  uses Mahout for its Workforce Predictive Analytics platform.</li>
 <li><a href="">Foursquare</a>
- uses Mahout for its [recommendation engine |]
+ uses Mahout for its <a href="">recommendation
 <li><a href="">Idealo</a>
  uses Mahout's recommendation engine.</li>
 <li><a href="">InfoGlutton</a>
@@ -429,12 +429,12 @@ projects.</li>
  has implementations of Mahout's recommendation algorithms to select new
 offers to send tu customers, as well as to recommend potential customers to
 current offers. We are also working on enhancing our offer categories by
-using the clustering algorithms. We have a [blog post|]
+using the clustering algorithms. We have a <a href="">blog
  where we talk about it.</li>
-<li>!! <a href="">iOffer</a>
+<li><img alt="iOffer" src="" /> <a href="">iOffer</a>
  uses Mahout's Frequent Pattern Mining and Collaborative Filtering to
 recommend items to users.</li>
-<li>!! <a href="">Kauli</a>
+<li><img alt="" src="" /> <a href="">Kauli</a>
 , one of Japanese Adnetwork, uses Mahout's clustering to handle clickstream
 data for predicting audience's interests and intents.</li>
 <li><a href="">Linked.In</a>
@@ -445,41 +445,41 @@ also [Hadoop World slides|https://www.qu
 <li><a href="">LucidWorks
Big Data</a>
  uses Mahout for clustering, duplicate document detection, phrase
 extraction and classification.</li>
-<li>!! <a href="">Mendeley</a>
+<li><img alt="Mendeley" src="" /> <a href="">Mendeley</a>
  uses Mahout to power Mendeley Suggest, a research article recommendation
-<li>!! <a href="">Mippin</a>
+<li><img alt="Mippin" src="" /> <a href="">Mippin</a>
  uses Mahout's collaborative filtering engine to recommend news feeds</li>
 <li><a href="">Mobage</a>
  uses Mahout in their analysis pipeline</li>
-<li>!! <a href="">Myrrix</a>
+<li><img alt="Myrrix" src=""
/> <a href="">Myrrix</a>
  is a recommender system product built on Mahout.</li>
-<li>!! <a href="">NewsCred</a>
+<li><img alt="Newscred" src=""
/> <a href="">NewsCred</a>
  uses Mahout to generate clusters of news articles and to surface the
 important stories of the day</li>
 <li><a href="">Next Glass</a>
- uses Mahout []</li>
+ uses Mahout <a href="">summary</a></li>
 <li><a href="">Predixion
  uses Mahout’s algorithms to    build predictive models on big data</li>
-<li>!! <a href="">Radoop</a>
+<li><img src="" width=15>
<a href="">Radoop</a>
  provides a drag-n-drop interface for big data analytics, including Mahout
 clustering and classification algorithms</li>
-<li>!! <a href="">ResearchGate</a>
+<li><img alt="Researchgate" src="" />
<a href="">ResearchGate</a>
 , the professional network for scientists and researchers, uses Mahout's
 recommendation algorithms.</li>
 <li><a href="">Sematext</a>
- uses Mahout for its [Recommendation Engine|]</li>
+ uses Mahout for its <a href="">Recommendation
 <li><a href=""></a>
  uses Mahout's collaborative filtering engine to recommend member profiles</li>
 <li><a href="">Twitter</a>
  uses Mahout's LDA implementation for user interest modeling, and maintains
-a (periodically sync'ed with Apache trunk) [fork|]
+a (periodically sync'ed with Apache trunk) <a href="">fork</a>
  of Mahout on GitHub</li>
 <li><a href="">Yahoo!</a>
- Mail uses Mahout's Frequent Pattern Set Mining.  See []</li>
-<li>!! <a href="">365Media
+ Mail uses Mahout's Frequent Pattern Set Mining.  See (slides)[</li>
+<li><img alt="imageshack" src="" />
<a href="">365Media </a>
  uses <em>Mahout's</em> Classification and Collaborative Filtering algorithms
-its Real-time system named [UPTIME|]
+its Real-time system named <a href="">UPTIME</a>
  and 365Media/Social</li>
 <p><a name="PoweredByMahout-AcademicUse"></a></p>
@@ -489,7 +489,7 @@ its Real-time system named [UPTIME|http:
  project uses Mahout's clustering and classification algorithms on top of
 <li>The course <a href="">Large
Scale Data Analysis and Data Mining</a>
- at [TU Berlin|]
+ at <a href="">TU Berlin</a>
 &nbsp;uses Mahout to teach students about the parallelization of data
 mining problems with Hadoop and Map/Reduce</li>
 <li>Mahout is used at Carnegie Mellon University, as a comparable platform to <a
@@ -501,7 +501,7 @@ analysis of online community data.</li>
 , in the context of a large-scale citizen participation platform project,
 funded by the Ministry of Interior of Japan.</li>
 <li>Several researches within <a href="">Digital Enterprise
Research Institute</a>
- [NUI Galway|]
+ <a href="">NUI Galway</a>
  use Mahout for e.g. topic mining and modelling of large corpora.</li>
 <li>We used Mahout in the NoTube EU project, and it saved a lot of time (and a brain
transplant). The only piece we've used heavily in our apps (<a href=""></a>
 ) so far is the Taste recommender, but I've been digging deeper into the
@@ -515,8 +515,8 @@ tools, the Mahout folk will tell you so.
 <p><a name="PoweredByMahout-PoweredByLogos"></a></p>
 <h1 id="powered-by-logos">Powered By Logos</h1>
 <p>Feel free to use our Powered By logos on your site:</p>
+<p><img alt="powered by logo" src="mahout-logo-poweredby-55.png" /></p>
+<p><img alt="powered by logo" src="mahout-logo-poweredby-100.png" /></p>

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