<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Joseph Wilk &#187; Search</title>
	<atom:link href="http://blog.josephwilk.net/tag/search/feed" rel="self" type="application/rss+xml" />
	<link>http://blog.josephwilk.net</link>
	<description>on AI, The Web, Usability, Testing &#38; Software process</description>
	<lastBuildDate>Sat, 09 Jan 2010 18:27:09 +0000</lastBuildDate>
	<generator>http://wordpress.org/?v=2.9.1</generator>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
			<item>
		<title>Latent Semantic Analysis in Ruby</title>
		<link>http://blog.josephwilk.net/ruby/latent-semantic-analysis-in-ruby.html</link>
		<comments>http://blog.josephwilk.net/ruby/latent-semantic-analysis-in-ruby.html#comments</comments>
		<pubDate>Fri, 21 Nov 2008 20:54:47 +0000</pubDate>
		<dc:creator>Joseph Wilk</dc:creator>
				<category><![CDATA[Ruby]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Search]]></category>
		<category><![CDATA[Semantics]]></category>

		<guid isPermaLink="false">http://www.joesniff.co.uk/?p=386</guid>
		<description><![CDATA[I&#8217;ve had lots of requests for a Ruby version to follow up my Latent Semantic Analysis  in Python article. So I&#8217;ve rewritten the code and article for Ruby. I wrote LSA from scratch this time and test driven so it has some subtle differences from the Python version.
What is LSA?
Latent Semantic Analysis (LSA) is [...]]]></description>
		<wfw:commentRss>http://blog.josephwilk.net/ruby/latent-semantic-analysis-in-ruby.html/feed</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Rboss RubyGem for  Yahoo! Search BOSS</title>
		<link>http://blog.josephwilk.net/ruby/rboss-rubygem-for-yahoo-search-boss.html</link>
		<comments>http://blog.josephwilk.net/ruby/rboss-rubygem-for-yahoo-search-boss.html#comments</comments>
		<pubDate>Sat, 23 Aug 2008 13:55:59 +0000</pubDate>
		<dc:creator>Joseph Wilk</dc:creator>
				<category><![CDATA[Ruby]]></category>
		<category><![CDATA[Search]]></category>

		<guid isPermaLink="false">http://www.joesniff.co.uk/?p=339</guid>
		<description><![CDATA[With Search BOSS (Build your Own Search Service)  Yahoo has freed up a lot of the restrictions on their previous search service. Like removing the cap on the number of searches and allowing re-purposing of results. I&#8217;ve been doing some work on using the service in Ruby. I wrote a little RubyGem called Rboss [...]]]></description>
		<wfw:commentRss>http://blog.josephwilk.net/ruby/rboss-rubygem-for-yahoo-search-boss.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Latent Semantic Analysis in Python</title>
		<link>http://blog.josephwilk.net/projects/latent-semantic-analysis-in-python.html</link>
		<comments>http://blog.josephwilk.net/projects/latent-semantic-analysis-in-python.html#comments</comments>
		<pubDate>Wed, 19 Dec 2007 11:14:42 +0000</pubDate>
		<dc:creator>Joseph Wilk</dc:creator>
				<category><![CDATA[Information retrieval]]></category>
		<category><![CDATA[Projects]]></category>
		<category><![CDATA[Datamining]]></category>
		<category><![CDATA[Python]]></category>
		<category><![CDATA[Search]]></category>

		<guid isPermaLink="false">http://www.joesniff.co.uk/projects/latent-semantic-analysis-in-python.html</guid>
		<description><![CDATA[Latent Semantic Analysis (LSA) is a mathematical method that tries to bring out latent relationships within a collection of documents. Rather than looking at each document isolated from the others it looks at all the documents as a whole and the terms within them to identify relationships.
An example of LSA:
Using a search engine search for [...]]]></description>
		<wfw:commentRss>http://blog.josephwilk.net/projects/latent-semantic-analysis-in-python.html/feed</wfw:commentRss>
		<slash:comments>11</slash:comments>
		</item>
		<item>
		<title>Building a Vector Space Search Engine in Python</title>
		<link>http://blog.josephwilk.net/projects/building-a-vector-space-search-engine-in-python.html</link>
		<comments>http://blog.josephwilk.net/projects/building-a-vector-space-search-engine-in-python.html#comments</comments>
		<pubDate>Tue, 27 Nov 2007 08:08:49 +0000</pubDate>
		<dc:creator>Joseph Wilk</dc:creator>
				<category><![CDATA[Critique]]></category>
		<category><![CDATA[Information retrieval]]></category>
		<category><![CDATA[Projects]]></category>
		<category><![CDATA[Datamining]]></category>
		<category><![CDATA[Python]]></category>
		<category><![CDATA[Search]]></category>
		<category><![CDATA[Vectors]]></category>

		<guid isPermaLink="false">http://www.joesniff.co.uk/wordpress/projects/building-a-vector-space-search-engine-in-python.html</guid>
		<description><![CDATA[A vector space search involves converting documents into vectors. Each dimension within the vectors represents a term. If a document contains that term then the value within the vector is greater than zero.
Here is an implementation of Vector space searching using python (2.4+).
1 Stemming &#38; Stop words
Fetch all terms within documents and clean &#8211; use [...]]]></description>
		<wfw:commentRss>http://blog.josephwilk.net/projects/building-a-vector-space-search-engine-in-python.html/feed</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
	</channel>
</rss>
