Improving Text Segmentation for Displaying Advertisements and Filtering Search Results

When you type a domain name into your browser address bar and the domain isn’t found, sometimes you’ll be served a search results page that has advertisements and links related to a “subject” for that domain name.

For example, you might type “” into the address bar, and there may not be a website at the domain name “”. You may be redirected to a third-party website, with advertisements and/or links relevant to that domain name. Ads might be shown for the phrase “used rugs” on that web page, if it is determined to be the most likely segmented version of the string of text from the domain name.

Some sites might be filtered from appearing in search results because the domain names may seem to potentially indicate adult related material.

For example, a domain name, such as “”, could be filtered out of search results by an adult filter, because the word “sex” appears in the string of characters.

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Google’s Green Border Technologies Patent Filings

On May 11th, Google purchased security company Green Border Technologies, Inc.

Green Border has a handful of patent applications pending, and a granted patent for their security software. One of the names that appears on most of the documents is Ulfar Erlingsson, who left the company in 2003 to join Microsoft Research.

The software from the Mountain View, California based company works to isolate internet sessions from the rest of a user’s PC. I’ve seen speculation that this software might be offered to Google users as part of the free Google Pack software download. The software might also be used by the search engine to crawl sites using client software to locate malware.


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Big Maps, Big Data: Google’s Keyhole Flatfile Patent

Google was granted a patent today on the way that they store, retrieve, and draw geospatially organized data in systems like Google Earth.

Server for geospatially organized flat file data
Invented by Chikai J. Ohazama, Phillip C. Keslin, and Mark A. Aubin
Assigned to Google
US Patent 7,225,207
Granted May 29, 2007
Filed October 10, 2002


A flat file data organization technique is used for storing and retrieving geospatially organized data. The invention reduces transfer time by transferring a few large files in lieu of a large number of small files. It also moves the process of locating a given data file away from the file system to a proprietary code base. Additionally, the invention simplifies database management by having quadtree packets generated on demand.

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User Intent and Characteristics of Search Queries

User Intent behind Search Queries

One of the short posters at the recent WWW 2007 Conference in Banff, Alberta, Canada, provides an in-depth look at classifications of search queries after sampling more than 5 million queries, taken from transaction logs from three different search engines.

They use that data to come up with a classification algorithm, which was then used on a “separate Web search engine transaction log of over a million queries submitted by several hundred thousand users.” The results are interesting.

The article is Determining the User Intent of Web Search Engine Queries, from Bernard J. Jansen and Danielle L. Booth of Pennsylvania State University, and Amanda Spink of the Queensland University of Technology.

Their findings indicated that approximately 80 percent of the queries classified were informational in nature, with the remaining queries being split almost equally between navigational and transactional queries.

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Catching Up With Memes, Part 1 – How Nerdy Am I?

I’ve seemed to have been tagged with a lot of memes recently, and haven’t posted any responses to them. The three day weekend seemed to be a good time to try to do that, but I seem to be gathering tags faster than I can reply to them.

My Friend Sophie tagged me with one that asks the question, “How nerdy are you.” I took this test a few days ago without being tagged. Seems my nerd quotient has slipped a little since the first time I took it.

I am nerdier than 65% of all people. Are you a nerd? Click here to find out!

The second part about a meme is that you tag others after taking it. I’m tagging the following folks:

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