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From sro...@apache.org
Subject svn commit: r658521 - in /lucene/mahout/site: publish/ publish/images/ src/documentation/content/xdocs/
Date Wed, 21 May 2008 01:15:21 GMT
Author: srowen
Date: Tue May 20 18:15:20 2008
New Revision: 658521

URL: http://svn.apache.org/viewvc?rev=658521&view=rev
Log:
Properly generated Taste docs into site

Added:
    lucene/mahout/site/publish/images/taste-architecture.png   (with props)
    lucene/mahout/site/publish/taste.html
    lucene/mahout/site/publish/taste.pdf
Modified:
    lucene/mahout/site/publish/developer-resources.html
    lucene/mahout/site/publish/index.html
    lucene/mahout/site/publish/linkmap.html
    lucene/mahout/site/publish/linkmap.pdf
    lucene/mahout/site/publish/mailinglists.html
    lucene/mahout/site/publish/releases.html
    lucene/mahout/site/publish/systemrequirements.html
    lucene/mahout/site/publish/whoweare.html
    lucene/mahout/site/src/documentation/content/xdocs/site.xml
    lucene/mahout/site/src/documentation/content/xdocs/taste.xml

Modified: lucene/mahout/site/publish/developer-resources.html
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/developer-resources.html?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/publish/developer-resources.html (original)
+++ lucene/mahout/site/publish/developer-resources.html Tue May 20 18:15:20 2008
@@ -128,6 +128,9 @@
 <div class="menuitem">
 <a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>
 </div>
+<div class="menuitem">
+<a href="taste.html">Taste Documentation</a>
+</div>
 </div>
 <div onclick="SwitchMenu('menu_1.3', 'skin/')" id="menu_1.3Title" class="menutitle">Related Projects</div>
 <div id="menu_1.3" class="menuitemgroup">

Added: lucene/mahout/site/publish/images/taste-architecture.png
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/images/taste-architecture.png?rev=658521&view=auto
==============================================================================
Binary file - no diff available.

Propchange: lucene/mahout/site/publish/images/taste-architecture.png
------------------------------------------------------------------------------
    svn:mime-type = application/octet-stream

Modified: lucene/mahout/site/publish/index.html
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/index.html?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/publish/index.html (original)
+++ lucene/mahout/site/publish/index.html Tue May 20 18:15:20 2008
@@ -130,6 +130,9 @@
 <div class="menuitem">
 <a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>
 </div>
+<div class="menuitem">
+<a href="taste.html">Taste Documentation</a>
+</div>
 </div>
 <div onclick="SwitchMenu('menu_1.3', 'skin/')" id="menu_1.3Title" class="menutitle">Related Projects</div>
 <div id="menu_1.3" class="menuitemgroup">

Modified: lucene/mahout/site/publish/linkmap.html
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/linkmap.html?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/publish/linkmap.html (original)
+++ lucene/mahout/site/publish/linkmap.html Tue May 20 18:15:20 2008
@@ -128,6 +128,9 @@
 <div class="menuitem">
 <a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>
 </div>
+<div class="menuitem">
+<a href="taste.html">Taste Documentation</a>
+</div>
 </div>
 <div onclick="SwitchMenu('menu_1.3', 'skin/')" id="menu_1.3Title" class="menutitle">Related Projects</div>
 <div id="menu_1.3" class="menuitemgroup">
@@ -241,6 +244,12 @@
 <a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>&nbsp;&nbsp;___________________&nbsp;&nbsp;<em>svn</em>
 </li>
 </ul>
+      
+<ul>
+<li>
+<a href="taste.html">Taste Documentation</a>&nbsp;&nbsp;___________________&nbsp;&nbsp;<em>taste</em>
+</li>
+</ul>
   
 </ul>
 </ul>

Modified: lucene/mahout/site/publish/linkmap.pdf
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/linkmap.pdf?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
Binary files - no diff available.

Modified: lucene/mahout/site/publish/mailinglists.html
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/mailinglists.html?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/publish/mailinglists.html (original)
+++ lucene/mahout/site/publish/mailinglists.html Tue May 20 18:15:20 2008
@@ -130,6 +130,9 @@
 <div class="menuitem">
 <a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>
 </div>
+<div class="menuitem">
+<a href="taste.html">Taste Documentation</a>
+</div>
 </div>
 <div onclick="SwitchMenu('menu_1.3', 'skin/')" id="menu_1.3Title" class="menutitle">Related Projects</div>
 <div id="menu_1.3" class="menuitemgroup">

Modified: lucene/mahout/site/publish/releases.html
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/releases.html?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/publish/releases.html (original)
+++ lucene/mahout/site/publish/releases.html Tue May 20 18:15:20 2008
@@ -128,6 +128,9 @@
 <div class="menuitem">
 <a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>
 </div>
+<div class="menuitem">
+<a href="taste.html">Taste Documentation</a>
+</div>
 </div>
 <div onclick="SwitchMenu('menu_1.3', 'skin/')" id="menu_1.3Title" class="menutitle">Related Projects</div>
 <div id="menu_1.3" class="menuitemgroup">

Modified: lucene/mahout/site/publish/systemrequirements.html
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/systemrequirements.html?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/publish/systemrequirements.html (original)
+++ lucene/mahout/site/publish/systemrequirements.html Tue May 20 18:15:20 2008
@@ -128,6 +128,9 @@
 <div class="menuitem">
 <a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>
 </div>
+<div class="menuitem">
+<a href="taste.html">Taste Documentation</a>
+</div>
 </div>
 <div onclick="SwitchMenu('menu_1.3', 'skin/')" id="menu_1.3Title" class="menutitle">Related Projects</div>
 <div id="menu_1.3" class="menuitemgroup">

Added: lucene/mahout/site/publish/taste.html
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/taste.html?rev=658521&view=auto
==============================================================================
--- lucene/mahout/site/publish/taste.html (added)
+++ lucene/mahout/site/publish/taste.html Tue May 20 18:15:20 2008
@@ -0,0 +1,705 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
+<html>
+<head>
+<META http-equiv="Content-Type" content="text/html; charset=UTF-8">
+<meta content="Apache Forrest" name="Generator">
+<meta name="Forrest-version" content="0.8">
+<meta name="Forrest-skin-name" content="pelt">
+<title>Apache Mahout - Taste Documentation</title>
+<link type="text/css" href="skin/basic.css" rel="stylesheet">
+<link media="screen" type="text/css" href="skin/screen.css" rel="stylesheet">
+<link media="print" type="text/css" href="skin/print.css" rel="stylesheet">
+<link type="text/css" href="skin/profile.css" rel="stylesheet">
+<script src="skin/getBlank.js" language="javascript" type="text/javascript"></script><script src="skin/getMenu.js" language="javascript" type="text/javascript"></script><script src="skin/fontsize.js" language="javascript" type="text/javascript"></script>
+<link rel="shortcut icon" href="images/favicon.ico">
+</head>
+<body onload="init()">
+<script type="text/javascript">ndeSetTextSize();</script>
+<div id="top">
+<!--+
+    |breadtrail
+    +-->
+<div class="breadtrail">
+<a href="http://www.apache.org/">Apache</a> &gt; <a href="http://lucene.apache.org/">Lucene</a><script src="skin/breadcrumbs.js" language="JavaScript" type="text/javascript"></script>
+</div>
+<!--+
+    |header
+    +-->
+<div class="header">
+<!--+
+    |start group logo
+    +-->
+<div class="grouplogo">
+<a href="http://lucene.apache.org/"><img class="logoImage" alt="Lucene" src="http://www.apache.org/images/asf_logo_simple.png" title="Apache Lucene"></a>
+</div>
+<!--+
+    |end group logo
+    +-->
+<!--+
+    |start Project Logo
+    +-->
+<div class="projectlogo">
+<a href="http://lucene.apache.org/mahout/">Apache Mahout</a>
+</div>
+<!--+
+    |end Project Logo
+    +-->
+<!--+
+    |start Search
+    +-->
+<div class="searchbox">
+<form action="http://www.google.com/search" method="get" class="roundtopsmall">
+<input value="lucene.apache.org" name="sitesearch" type="hidden"><input onFocus="getBlank (this, 'Search the site with google');" size="25" name="q" id="query" type="text" value="Search the site with google">&nbsp; 
+                    <input name="Search" value="Search" type="submit">
+</form>
+</div>
+<!--+
+    |end search
+    +-->
+<!--+
+    |start Tabs
+    +-->
+<ul id="tabs">
+<li class="current">
+<a class="selected" href="index.html">Main</a>
+</li>
+<li>
+<a class="unselected" href="http://cwiki.apache.org/MAHOUT">Wiki</a>
+</li>
+</ul>
+<!--+
+    |end Tabs
+    +-->
+</div>
+</div>
+<div id="main">
+<div id="publishedStrip">
+<!--+
+    |start Subtabs
+    +-->
+<div id="level2tabs"></div>
+<!--+
+    |end Endtabs
+    +-->
+<script type="text/javascript"><!--
+document.write("Last Published: " + document.lastModified);
+//  --></script>
+</div>
+<!--+
+    |breadtrail
+    +-->
+<div class="breadtrail">
+
+             &nbsp;
+           </div>
+<!--+
+    |start Menu, mainarea
+    +-->
+<!--+
+    |start Menu
+    +-->
+<div id="menu">
+<div onclick="SwitchMenu('menu_1.1', 'skin/')" id="menu_1.1Title" class="menutitle">About</div>
+<div id="menu_1.1" class="menuitemgroup">
+<div class="menuitem">
+<a href="index.html" title="Welcome to Mahout">Overview</a>
+</div>
+<div class="menuitem">
+<a href="whoweare.html">Who We Are</a>
+</div>
+</div>
+<div onclick="SwitchMenu('menu_selected_1.2', 'skin/')" id="menu_selected_1.2Title" class="menutitle" style="background-image: url('skin/images/chapter_open.gif');">Resources</div>
+<div id="menu_selected_1.2" class="selectedmenuitemgroup" style="display: block;">
+<div class="menuitem">
+<a href="developer-resources.html">Developers</a>
+</div>
+<div class="menuitem">
+<a href="http://issues.apache.org/jira/browse/MAHOUT">Issue Tracking</a>
+</div>
+<div class="menuitem">
+<a href="mailinglists.html">Mailing Lists</a>
+</div>
+<div class="menuitem">
+<a href="releases.html">Releases</a>
+</div>
+<div class="menuitem">
+<a href="systemrequirements.html">System Requirements</a>
+</div>
+<div class="menuitem">
+<a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>
+</div>
+<div class="menupage">
+<div class="menupagetitle">Taste Documentation</div>
+</div>
+</div>
+<div onclick="SwitchMenu('menu_1.3', 'skin/')" id="menu_1.3Title" class="menutitle">Related Projects</div>
+<div id="menu_1.3" class="menuitemgroup">
+<div class="menuitem">
+<a href="http://lucene.apache.org">Lucene (Top-Level)</a>
+</div>
+<div class="menuitem">
+<a href="http://hadoop.apache.org//">Hadoop</a>
+</div>
+<div class="menuitem">
+<a href="http://lucene.apache.org/java/">Lucene Java</a>
+</div>
+<div class="menuitem">
+<a href="http://lucene.apache.org/solr/">Solr</a>
+</div>
+<div class="menuitem">
+<a href="http://lucene.apache.org/nutch/">Nutch</a>
+</div>
+</div>
+<div id="credit"></div>
+<div id="roundbottom">
+<img style="display: none" class="corner" height="15" width="15" alt="" src="skin/images/rc-b-l-15-1body-2menu-3menu.png"></div>
+<!--+
+  |alternative credits
+  +-->
+<div id="credit2"></div>
+</div>
+<!--+
+    |end Menu
+    +-->
+<!--+
+    |start content
+    +-->
+<div id="content">
+<div title="Portable Document Format" class="pdflink">
+<a class="dida" href="taste.pdf"><img alt="PDF -icon" src="skin/images/pdfdoc.gif" class="skin"><br>
+        PDF</a>
+</div>
+<h1>Apache Mahout - Taste Documentation</h1>
+<div id="minitoc-area">
+<ul class="minitoc">
+<li>
+<a href="#overview">Overview</a>
+</li>
+<li>
+<a href="#architecture">Architecture</a>
+<ul class="minitoc">
+<li>
+<a href="#Recommender">Recommender</a>
+</li>
+<li>
+<a href="#DataModel">DataModel</a>
+</li>
+<li>
+<a href="#UserCorrelation%2C+ItemCorrelation">UserCorrelation, ItemCorrelation</a>
+</li>
+<li>
+<a href="#UserNeighborhood">UserNeighborhood</a>
+</li>
+</ul>
+</li>
+<li>
+<a href="#requirements">Requirements</a>
+<ul class="minitoc">
+<li>
+<a href="#Required">Required</a>
+</li>
+<li>
+<a href="#Optional">Optional</a>
+</li>
+</ul>
+</li>
+<li>
+<a href="#demo">Demo</a>
+</li>
+<li>
+<a href="#examples">Examples</a>
+<ul class="minitoc">
+<li>
+<a href="#User-based+Recommender">User-based Recommender</a>
+</li>
+<li>
+<a href="#Item-based+Recommender">Item-based Recommender</a>
+</li>
+<li>
+<a href="#Slope-One+Recommender">Slope-One Recommender</a>
+</li>
+</ul>
+</li>
+<li>
+<a href="#integration">Integration with your application</a>
+<ul class="minitoc">
+<li>
+<a href="#Direct">Direct</a>
+</li>
+<li>
+<a href="#Standalone+server">Standalone server</a>
+</li>
+</ul>
+</li>
+<li>
+<a href="#performance">Performance</a>
+<ul class="minitoc">
+<li>
+<a href="#Runtime+Performance">Runtime Performance</a>
+</li>
+<li>
+<a href="#Algorithm+Performance%3A+Which+One+Is+Best%3F">Algorithm Performance: Which One Is Best?</a>
+</li>
+</ul>
+</li>
+<li>
+<a href="#useful">Useful Links</a>
+</li>
+</ul>
+</div>
+
+
+<a name="N10011"></a><a name="overview"></a>
+<h2 class="boxed">Overview</h2>
+<div class="section">
+<p>Taste is a flexible, fast collaborative filtering engine for Java. The engine takes users'
+preferences for items ("tastes") and returns estimated preferences for other items. For example, a
+site that sells books or CDs could easily use Taste to figure out, from past purchase data, which
+CDs a customer might be interested in listening to.</p>
+<p>Taste provides a rich set of components from which you can construct a customized recommender
+system from a selection of algorithms. Taste is designed to be enterprise-ready; it's designed for
+performance, scalability and flexibility.
+Taste is not just for Java; it can be run as an external server which exposes recommendation logic
+to your application via web services and HTTP.</p>
+<p>Top-level packages define the Taste interfaces to these key abstractions:</p>
+<ul>
+  
+<li>
+<span class="codefrag">DataModel</span>
+</li>
+  
+<li>
+<span class="codefrag">UserCorrelation</span> and <span class="codefrag">ItemCorrelation</span>
+</li>
+  
+<li>
+<span class="codefrag">UserNeighborhood</span>
+</li>
+  
+<li>
+<span class="codefrag">Recommender</span>
+</li>
+
+</ul>
+<p>Subpackages of <span class="codefrag">org.apache.mahout.cf.taste.impl</span> hold implementations of these interfaces.
+These are the pieces from which you will build your own recommendation engine. That's it!
+For the academically inclined, Taste supports both <em>memory-based</em> and <em>item-based</em>
+recommender systems, <em>slope one</em> recommenders, and a couple other experimental implementations.
+It does not currently support <em>model-based</em> recommenders.</p>
+</div>
+
+
+<a name="N10048"></a><a name="architecture"></a>
+<h2 class="boxed">Architecture</h2>
+<div class="section">
+<p class="centertext">
+<img alt="Taste Architecture" height="1060" src="images/taste-architecture.png" width="442"></p>
+<p>This diagram shows the relationship between various Taste components in a user-based recommender.
+An item-based recommender system is similar except that there are no PreferenceInferrers or Neighborhood
+algorithms involved.</p>
+<a name="N10058"></a><a name="Recommender"></a>
+<h3 class="boxed">Recommender</h3>
+<p>A <span class="codefrag">Recommender</span> is the core abstraction in Taste. Given a <span class="codefrag">DataModel</span>, it can produce
+recommendations. Applications will most likely use the <span class="codefrag">GenericUserBasedRecommender</span> implementation
+or <span class="codefrag">GenericItemBasedRecommender</span>, possibly decorated by
+
+<span class="codefrag">CachingRecommender</span>.</p>
+<a name="N10070"></a><a name="DataModel"></a>
+<h3 class="boxed">DataModel</h3>
+<p>A <span class="codefrag">DataModel</span> is the interface to information about user preferences. An implementation might
+draw this data from any source, but a database is the most likely source. Taste provides <span class="codefrag">MySQLJDBCDataModel</span>
+to access preference data from a database via JDBC, though many applications will want to write their own.
+Taste also provides a <span class="codefrag">FileDataModel</span>.</p>
+<p>Along with <span class="codefrag">DataModel</span>, Taste uses the <span class="codefrag">User</span>, <span class="codefrag">Item</span> and
+<span class="codefrag">Preference</span> abstractions to represent the users, items, and preferences for those items in the
+recommendation engine. Custom <span class="codefrag">DataModel</span> implementations would return implementations of these
+interfaces that are appropriate to the application - maybe an <span class="codefrag">OnlineUser</span> implementation
+that represents an online store user, and a <span class="codefrag">BookItem</span> implementation representing a book.</p>
+<a name="N1009A"></a><a name="UserCorrelation%2C+ItemCorrelation"></a>
+<h3 class="boxed">UserCorrelation, ItemCorrelation</h3>
+<p>A <span class="codefrag">UserCorrelation</span> defines a notion of similarity between two <span class="codefrag">User</span>s.
+This is a crucial part of a recommendation engine. These are attached to a <span class="codefrag">Neighborhood</span> implementation.
+<span class="codefrag">ItemCorrelation</span>s are analagous, but find similarity between <span class="codefrag">Item</span>s.</p>
+<a name="N100B2"></a><a name="UserNeighborhood"></a>
+<h3 class="boxed">UserNeighborhood</h3>
+<p>In a user-based recommender, recommendations are produced by finding a "neighborhood" of
+similar users near a given user. A <span class="codefrag">UserNeighborhood</span> defines a means of determining
+that neighborhood &mdash; for example, nearest 10 users. Implementations typically need a
+<span class="codefrag">UserCorrelation</span> to operate.</p>
+</div>
+
+
+<a name="N100C2"></a><a name="requirements"></a>
+<h2 class="boxed">Requirements</h2>
+<div class="section">
+<a name="N100C7"></a><a name="Required"></a>
+<h3 class="boxed">Required</h3>
+<ul>
+ 
+<li>
+<a href="http://java.sun.com/j2se/1.5.0/index.jsp">Java / J2SE 5.0</a>
+</li>
+
+</ul>
+<a name="N100D5"></a><a name="Optional"></a>
+<h3 class="boxed">Optional</h3>
+<ul>
+ 
+<li>
+<a href="http://ant.apache.org/">Apache Ant</a> 1.5 or later,
+  if you want to build from source or build examples.</li>
+ 
+<li>Taste web applications require a <a href="http://java.sun.com/products/servlet/index.jsp">Servlet 2.3+</a>
+  container, such as
+  <a href="http://jakarta.apache.org/tomcat/">Jakarta Tomcat</a>. It may in fact work with older
+  containers with slight modification.</li>
+ 
+<li>
+<span class="codefrag">MySQLJDBCDataModel</span> implementation requires a
+  <a href="http://www.mysql.com/products/mysql/">MySQL 4.x</a> (or later) database.
+  Again, it may be made to work with earlier versions or other databases with slight changes.</li>
+
+
+</ul>
+</div>
+
+
+<a name="N100F9"></a><a name="demo"></a>
+<h2 class="boxed">Demo</h2>
+<div class="section">
+<p>To build and run the demo, follow the instructions below, which are written for Unix-like operating systems:</p>
+<ol>
+  
+<li>Download the "1 Million MovieLens Dataset" from
+   <a href="http://www.grouplens.org/">http://www.grouplens.org/</a>.</li>
+
+  
+<li>Unpack the archive and copy <span class="codefrag">movies.dat</span> and <span class="codefrag">ratings.dat</span> to
+   <span class="codefrag">src/example/org/apache/mahout/cf/taste/example/grouplens</span> under the Taste distribution
+   directory.</li>
+  
+<li>Build the example web application by executing <span class="codefrag">ant build-grouplens-example</span> in the directory
+    where you unpacked the Taste distribution. This produces <span class="codefrag">taste.war</span>.</li>
+
+  
+<li>
+<a href="http://tomcat.apache.org/download-55.cgi">Download</a> and install Tomcat.</li>
+  
+<li>Copy <span class="codefrag">taste.war</span> to the <span class="codefrag">webapps</span> directory under the Tomcat installation directory.</li>
+  
+<li>Increase the heap space that is given to Tomcat by setting the <span class="codefrag">JAVA_OPTS</span>
+      environment variable to "<span class="codefrag">-server -da -dsa -Xms1024m -Xmx1024m</span>", to allow 1024MB of heap space and
+    enable performance optimizations. Using <span class="codefrag">bash</span>,
+      one can do this with the command <span class="codefrag">export JAVA_OPTS="..."</span>
+</li>
+  
+<li>Start Tomcat. This is usually done by running <span class="codefrag">bin/startup.sh</span>
+      from the Tomcat installation directory. You may get an error asking you to set <span class="codefrag">JAVA_HOME</span>; do
+      so as above.</li>
+
+  
+<li>Get recommendations by accessing the web application in your browser:<br>
+    
+<span class="codefrag">http://localhost:8080/taste/RecommenderServlet?userID=1</span>
+<br>
+    This will produce a simple preference-item ID list which could be consumed by a client application.
+    Get more useful human-readable output with the <span class="codefrag">debug</span> parameter:<br>
+    
+<span class="codefrag">http://localhost:8080/taste/RecommenderServlet?userID=1&amp;debug=true</span>
+</li>
+
+</ol>
+<p>Incidentally, Taste's web service interface may then be found at:<br>
+
+<span class="codefrag">http://localhost:8080/taste/RecommenderService.jws</span>
+<br>
+Its WSDL file will be here...<br>
+
+<span class="codefrag">http://localhost:8080/taste/RecommenderService.jws?wsdl</span>
+<br>
+... and you can even access it in your browser via a simple HTTP request:<br>
+
+<span class="codefrag">.../RecommenderService.jws?method=recommend&amp;userID=1&amp;howMany=10</span>
+</p>
+</div>
+
+
+<a name="N1016A"></a><a name="examples"></a>
+<h2 class="boxed">Examples</h2>
+<div class="section">
+<a name="N1016F"></a><a name="User-based+Recommender"></a>
+<h3 class="boxed">User-based Recommender</h3>
+<p>User-based recommenders are the "original", conventional style of recommender system. They can produce good
+recommendations when tweaked properly; they are not necessarily the fastest recommender systems and
+are thus suitable for small data sets (roughly, less than a million ratings). We'll start with an example of this.</p>
+<p>First, create a <span class="codefrag">DataModel</span> of some kind. Here, we'll use a simple on based
+on data in a file:</p>
+<pre>DataModel model = new FileDataModel(new File("data.txt"));
+</pre>
+<p>We'll use the PearsonCorrelation implementation of <span class="codefrag">UserCorrelation</span> as our user
+correlation algorithm, and add an optional preference inference algorithm:</p>
+<pre>UserCorrelation userCorrelation = new PearsonCorrelation(model);
+// Optional:
+userCorrelation.setPreferenceInferrer(new AveragingPreferenceInferrer());
+</pre>
+<p>Now we create a <span class="codefrag">UserNeighborhood</span> algorithm. Here we use nearest-3:</p>
+<pre>UserNeighborhood neighborhood =
+  new NearestNUserNeighborhood(3, userCorrelation, model);
+</pre>
+<p>Now we can create our <span class="codefrag">Recommender</span>, and add a caching decorator:</p>
+<pre>Recommender recommender =
+  new GenericUserBasedRecommender(model, neighborhood, userCorrelation);
+Recommender cachingRecommender = new CachingRecommender(recommender);
+</pre>
+<p>Now we can get 10 recommendations for user ID "1234" &mdash; done!</p>
+<pre>List&lt;RecommendedItem&gt; recommendations =
+  cachingRecommender.recommend("1234", 10);
+</pre>
+<a name="N101A2"></a><a name="Item-based+Recommender"></a>
+<h3 class="boxed">Item-based Recommender</h3>
+<p>We could have created an item-based recommender instead. Item-based recommender base recommendation
+not on user similarity, but on item similarity. In theory these are about the same approach to the
+problem, just from different angles. However the similarity of two items is relatively fixed, more so
+than the similarity of two users. So, item-based recommenders can use pre-computed similarity values
+in the computations, which make them much faster. For large data sets, item-based recommenders
+are more appropriate.</p>
+<p>Let's start over, again with a <span class="codefrag">FileDataModel</span> to start:</p>
+<pre>DataModel model = new FileDataModel(new File("data.txt"));
+</pre>
+<p>We'll also need an <span class="codefrag">ItemCorrelation</span>. We could use <span class="codefrag">PearsonCorrelation</span>,
+which computes item similarity in realtime, but, this is generally too slow to be useful.
+Instead, in a real application, you would feed a list of pre-computed correlations to
+a <span class="codefrag">GenericItemCorrelation</span>:</p>
+<pre>// Construct the list of pre-compted correlations
+Collection&lt;GenericItemCorrelation.ItemItemCorrelation&gt; correlations =
+  ...;
+ItemCorrelation itemCorrelation =
+  new GenericItemCorrelation(correlations);
+
+</pre>
+<p>Then we can finish as before to produce recommendations:</p>
+<pre>Recommender recommender =
+  new GenericItemBasedRecommender(model, itemCorrelation);
+Recommender cachingRecommender = new CachingRecommender(recommender);
+...
+List&lt;RecommendedItem&gt; recommendations =
+  cachingRecommender.recommend("1234", 10);
+</pre>
+<a name="N101C9"></a><a name="Slope-One+Recommender"></a>
+<h3 class="boxed">Slope-One Recommender</h3>
+<p>This is a simple yet effective <span class="codefrag">Recommender</span> and we present another example to
+round out the list:</p>
+<pre>DataModel model = new FileDataModel(new File("data.txt"));
+// Make a weighted slope one recommender
+Recommender recommender = new SlopeOneRecommender(model);
+Recommender cachingRecommender = new CachingRecommender(recommender);
+</pre>
+</div>
+
+
+<a name="N101D9"></a><a name="integration"></a>
+<h2 class="boxed">Integration with your application</h2>
+<div class="section">
+<a name="N101DE"></a><a name="Direct"></a>
+<h3 class="boxed">Direct</h3>
+<p>You can create a <span class="codefrag">Recommender</span>, as shown above, wherever you like in your Java application, and use it. This
+includes simple Java applications or GUI applications, server applications, and J2EE web applications.</p>
+<a name="N101EA"></a><a name="Standalone+server"></a>
+<h3 class="boxed">Standalone server</h3>
+<p>Taste can also be run as an external server, which may be the only option for non-Java applications.
+A Taste Recommender can be exposed as a web application via <span class="codefrag">org.apach.mahout.cf.taste.web.RecommenderServlet</span>,
+and your application can then access recommendations via simple HTTP requests and response, or as a
+full-fledged SOAP web service. See above, and see
+<span class="codefrag">the javadoc</span> for details.</p>
+<p>To deploy your <span class="codefrag">Recommender</span> as an external server:</p>
+<ol>
+  
+<li>Create an implementation of <span class="codefrag">org.apache.mahout.cf.taste.recommender.Recommender</span>.</li>
+
+  
+<li>Compile it and create a JAR file containing your implementation.</li>
+  
+<li>Build a WAR file that will run your Recommender as a web application:<br>
+  
+<span class="codefrag">ant -Dmy-recommender.jar=yourJARfile.jar -Dmy-recommender-class=com.foo.YourRecommender build-server</span>
+</li>
+  
+<li>Follow from the "Install Tomcat" step above under <a href="#demo">Demo</a>.</li>
+
+</ol>
+</div>
+
+
+<a name="N1021A"></a><a name="performance"></a>
+<h2 class="boxed">Performance</h2>
+<div class="section">
+<a name="N1021F"></a><a name="Runtime+Performance"></a>
+<h3 class="boxed">Runtime Performance</h3>
+<p>The more data you give Taste, the better. Though Taste is designed for performance, you will undoubtedly run into
+performance issues at some point. For best results, consider using the following commad-line flags to your JVM:</p>
+<ul>
+  
+<li>
+<span class="codefrag">-server</span>: Enables the server VM, which is generally appropriate for long-running,
+  computation-intensive applications.</li>
+  
+<li>
+<span class="codefrag">-Xms1024m -Xmx1024m</span>: Make the heap as big as possible -- a gigabyte doesn't hurt when dealing
+  with millions of preferences. Taste will generally use as much memory as you give it for caching, which helps
+  performance. Set the initial and max size to the same value to avoid wasting time growing the
+  heap, and to avoid having the JVM run minor collections to avoid growing the heap, which will clear
+  cached values.</li>
+  
+<li>
+<span class="codefrag">-da -dsa</span>: Disable all assertions.</li>
+  
+<li>
+<span class="codefrag">-XX:+UseParallelGC</span> (multi-processor machines only): Use a GC algorithm designed to take
+  advantage of multiple processors, and designed for throughput. This is a default in J2SE 5.0.</li>
+  
+<li>
+<span class="codefrag">-XX:-DisableExplicitGC</span>: Disable calls to <span class="codefrag">System.gc()</span>. These calls can only
+  hurt in the presence of modern GC algorithms; they may force Taste to remove cached data needlessly.
+  This flag isn't needed if you're sure your code and third-party code you use doesn't call this method.</li>
+
+</ul>
+<p>Also consider the following tips:</p>
+<ul>
+  
+<li>Use <span class="codefrag">CachingRecommender</span> on top of your custom <span class="codefrag">Recommender</span> implementation.</li>
+  
+<li>When using <span class="codefrag">JDBCDataModel</span>, make sure you've taken basic steps to optimize the table storing
+  preference data. Create a primary key on the user ID and item ID columns, and an index on them. Set them to
+  be non-null. And so on. Tune your database for lots of concurrent reads! When using JDBC,
+  the database is almost always the bottleneck. Plenty of memory and caching are even more important.</li>
+
+  
+<li>Also, pooling database connections is essential to performance. If using a J2EE container, it probably
+  provides a way to configure connection pools. If you are creating your own <span class="codefrag">DataSource</span> directly,
+  try wrapping it in <span class="codefrag">org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource</span>
+</li>
+  
+<li>See MySQL-specific notes on performance in the javadoc for
+  <span class="codefrag">MySQLJDBCDataModel</span>.</li>
+
+</ul>
+<a name="N1026A"></a><a name="Algorithm+Performance%3A+Which+One+Is+Best%3F"></a>
+<h3 class="boxed">Algorithm Performance: Which One Is Best?</h3>
+<p>There is no right answer; it depends on your data, your application, environment, and performance needs.
+Taste provides the building blocks from which you can construct the best <span class="codefrag">Recommender</span> for your
+application. The links below provide research on this topic. You will probably need a bit of trial-and-error to find
+a setup that works best. The code sample above provides a good starting point.</p>
+<p>Fortunately, Taste provides a way to evaluate the accuracy of your <span class="codefrag">Recommender</span> on your own
+data, in <span class="codefrag">org.apache.mahout.cf.taste.eval</span>:</p>
+<pre>DataModel myModel = ...;
+RecommenderBuilder builder = new RecommenderBuilder() {
+    public Recommender buildRecommender(DataModel model) {
+      // build and return the Recommender to evaluate here
+    }
+  };
+RecommenderEvaluator evaluator =
+  new AverageAbsoluteDifferenceRecommenderEvaluator();
+double evaluation = evaluator.evaluate(builder, myModel, 0.9, 1.0);
+</pre>
+</div>
+
+
+<a name="N10283"></a><a name="useful"></a>
+<h2 class="boxed">Useful Links</h2>
+<div class="section">
+<p>You'll want to look at these packages too, which offer more algorithms and approaches that you
+may find useful:</p>
+<ul>
+  
+<li>
+<a href="http://www.nongnu.org/cofi/">Cofi</a>: A Java-Based Collaborative Filtering Library</li>
+  
+<li>
+<a href="http://eecs.oregonstate.edu/iis/CoFE/">CoFE</a>
+</li>
+
+</ul>
+<p>Here's a handful of research papers that I've read and found particularly useful:</p>
+<blockquote cite="http://research.microsoft.com/research/pubs/view.aspx?tr_id=166">
+<p>J.S. Breese, D. Heckerman
+ and C. Kadie, "<a href="http://research.microsoft.com/research/pubs/view.aspx?tr_id=166">Empirical Analysis of
+ Predictive Algorithms for Collaborative Filtering</a>,"
+ in Proceedings of the Fourteenth Conference on Uncertainity in Artificial Intelligence (UAI 1998),
+ 1998.</p>
+</blockquote>
+<blockquote cite="http://www10.org/cdrom/papers/519/">
+<p>B. Sarwar, G. Karypis, J. Konstan and J. Riedl,
+ "<a href="http://www10.org/cdrom/papers/519/">Item-based collaborative filtering recommendation
+ algorithms</a>," in Proceedings of the Tenth International Conference on the World Wide Web (WWW 10),
+ pp. 285-295, 2001.</p>
+</blockquote>
+<blockquote cite="http://doi.acm.org/10.1145/192844.192905">
+<p>P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom and J. Riedl,
+ "<a href="http://doi.acm.org/10.1145/192844.192905">GroupLens: an open architecture for
+ collaborative filtering of netnews</a>," in Proceedings of the 1994 ACM conference on Computer Supported Cooperative
+ Work (CSCW 1994), pp. 175-186, 1994.</p>
+</blockquote>
+<blockquote cite="http://www.grouplens.org/papers/pdf/algs.pdf">
+<p>J.L. Herlocker, J.A. Konstan,
+ A. Borchers and J. Riedl, "<a href="http://www.grouplens.org/papers/pdf/algs.pdf">An algorithmic framework for
+ performing collaborative filtering</a>," in Proceedings of the 22nd annual international ACM SIGIR Conference
+ on Research and Development in Information Retrieval (SIGIR 99), pp. 230-237, 1999.</p>
+</blockquote>
+<blockquote cite="http://materialobjects.com/cf/MovieRecommender.pdf">
+<p>Clifford Lyon,
+ "<a href="http://materialobjects.com/cf/MovieRecommender.pdf">Movie Recommender</a>,"
+ CSCI E-280 final project, Harvard University, 2004.</p>
+</blockquote>
+<blockquote cite="http://www.daniel-lemire.com/fr/abstracts/SDM2005.html">
+<p>Daniel Lemire, Anna Maclachlan,
+ "<a href="http://www.daniel-lemire.com/fr/abstracts/SDM2005.html">Slope One Predictors for Online Rating-Based
+ Collaborative Filtering</a>," Proceedings of SIAM Data Mining (SDM '05), 2005.</p>
+</blockquote>
+<blockquote cite="http://www.daniel-lemire.com/fr/documents/publications/racofi_nrc.pdf">
+<p>
+ Michelle Anderson, Marcel Ball, Harold Boley, Stephen Greene, Nancy Howse, Daniel Lemire and Sean McGrath,
+ "<a href="http://www.daniel-lemire.com/fr/documents/publications/racofi_nrc.pdf">RACOFI: A Rule-Applying Collaborative
+ Filtering System</a>," Proceedings of COLA '03, 2003.</p>
+</blockquote>
+<p>These links will take you to all the collaborative filtering reading you could ever want!</p>
+<ul>
+ 
+<li>
+<a href="http://www.paulperry.net/notes/cf.asp">Paul Perry's notes</a>
+</li>
+ 
+<li>
+<a href="http://jamesthornton.com/cf/">James Thornton's collaborative filtering resources</a>
+</li>
+ 
+<li>
+<a href="http://www.daniel-lemire.com/blog/">Daniel Lemire's blog</a> which frequently covers collaborative filtering topics</li>
+
+</ul>
+</div>
+
+</div>
+<!--+
+    |end content
+    +-->
+<div class="clearboth">&nbsp;</div>
+</div>
+<div id="footer">
+<!--+
+    |start bottomstrip
+    +-->
+<div class="lastmodified">
+<script type="text/javascript"><!--
+document.write("Last Published: " + document.lastModified);
+//  --></script>
+</div>
+<div class="copyright">
+        Copyright &copy;
+         2006 <a href="http://www.apache.org/licenses/">The Apache Software Foundation.</a>
+</div>
+<!--+
+    |end bottomstrip
+    +-->
+</div>
+</body>
+</html>

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Modified: lucene/mahout/site/publish/whoweare.html
URL: http://svn.apache.org/viewvc/lucene/mahout/site/publish/whoweare.html?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/publish/whoweare.html (original)
+++ lucene/mahout/site/publish/whoweare.html Tue May 20 18:15:20 2008
@@ -128,6 +128,9 @@
 <div class="menuitem">
 <a href="http://svn.apache.org/viewcvs.cgi/lucene/mahout/">Version Control</a>
 </div>
+<div class="menuitem">
+<a href="taste.html">Taste Documentation</a>
+</div>
 </div>
 <div onclick="SwitchMenu('menu_1.3', 'skin/')" id="menu_1.3Title" class="menutitle">Related Projects</div>
 <div id="menu_1.3" class="menuitemgroup">

Modified: lucene/mahout/site/src/documentation/content/xdocs/site.xml
URL: http://svn.apache.org/viewvc/lucene/mahout/site/src/documentation/content/xdocs/site.xml?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/src/documentation/content/xdocs/site.xml (original)
+++ lucene/mahout/site/src/documentation/content/xdocs/site.xml Tue May 20 18:15:20 2008
@@ -57,6 +57,7 @@
       <release label="Releases" href="releases.html"/>
       <system label="System Requirements" href="systemrequirements.html"/>
       <svn   label="Version Control"  href="ext:source" />
+      <taste label="Taste Documentation" href="taste.html"/>
   </resources>
   
   <projects label="Related Projects">

Modified: lucene/mahout/site/src/documentation/content/xdocs/taste.xml
URL: http://svn.apache.org/viewvc/lucene/mahout/site/src/documentation/content/xdocs/taste.xml?rev=658521&r1=658520&r2=658521&view=diff
==============================================================================
--- lucene/mahout/site/src/documentation/content/xdocs/taste.xml (original)
+++ lucene/mahout/site/src/documentation/content/xdocs/taste.xml Tue May 20 18:15:20 2008
@@ -362,7 +362,7 @@
   <li><a href="http://eecs.oregonstate.edu/iis/CoFE/">CoFE</a></li>
 </ul>
 
-<p>Here's a handful of research papers that I've read and found particular useful:</p>
+<p>Here's a handful of research papers that I've read and found particularly useful:</p>
 
 <blockquote cite="http://research.microsoft.com/research/pubs/view.aspx?tr_id=166"><p>J.S. Breese, D. Heckerman
  and C. Kadie, "<a href="http://research.microsoft.com/research/pubs/view.aspx?tr_id=166">Empirical Analysis of



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