The Affiliate Lifestyle Blog » spam http://www.scrappybusiness.com Tue, 27 Jul 2010 15:57:26 +0000 en hourly 1 http://wordpress.org/?v=3.2.1 I Lost 42 Pounds in 3 Days! http://www.scrappybusiness.com/i-lost-42-pounds-in-3-days.htm http://www.scrappybusiness.com/i-lost-42-pounds-in-3-days.htm#comments Tue, 18 Nov 2008 02:06:05 +0000 josh http://www.scrappybusiness.com/?p=211 “My name is Tracy Johnson. I have 2 kids and a wonderful husband. I lost 45 pounds using combination of two free products I saw on TV.”

You’ve probably Acai being promoted every where..

It’s converting like crazy…

But is it ethical? Is it a scam?

What’s your take?

]]> http://www.scrappybusiness.com/i-lost-42-pounds-in-3-days.htm/feed 11 Google Sponsored Link Spam http://www.scrappybusiness.com/google-sponsored-link-spam.htm http://www.scrappybusiness.com/google-sponsored-link-spam.htm#comments Mon, 19 Nov 2007 03:59:09 +0000 josh http://www.scrappybusiness.com/google-sponsored-link-spam.htm

I did a search for “ringtone” on Google.. And counted 25 sponsored link ads from the same company!

]]> http://www.scrappybusiness.com/google-sponsored-link-spam.htm/feed 2 Spamming White Papers http://www.scrappybusiness.com/spamming-white-papers.htm http://www.scrappybusiness.com/spamming-white-papers.htm#comments Fri, 20 Oct 2006 16:53:23 +0000 josh http://www.scrappybusiness.com/spamming-white-papers.htm The Adversarial Information Retrieval on the Web conference, held in Seattle on August 10th, 2006, produced several interesting papers on how to better classify website spam.

Of particular interest is the paper on Tracking Web Spam with Hidden Similarity,which discusses fingerprinting. One of the methods described involves removing alphanumeric characters from a document and leaving HTML based properties. Then comparing similiar HTML based footprints. For their experiment, they crawled 3 million documents from 1300 hosts of DMOZ directory, a flat crawl of 1 million documents from a french search engine blacklist, and a deep breadth crawl of 10 non-adult spam urls and 10 trusable urls from French universities.

In their estimation, roughly 2/5th’s of these documents can be classified as spam.

In future posts, I will discuss several techniques used by webspammers, including automatic content-generation.

Spam blog index

Fighting Spam Blogs, a Hypothesis

Search Engine Spam Detector

10 August 2006

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