New Search Engine Launches:blekko

.tags October 31st saw the launch of a new search engine, Blekko. Invented by Rich Skrenta it was put forth to combat what he saw was the main problem with search engines today: content farm spam. Blogs and article marketing sites, among others, are Richs biggest concern as he sees these clogging up the tubes of the internet as well as the results pages of the biggest search engines. Internet Marketing is meant to help solve problems for consumers. Yet he feels that often it gets carried away.
In this effect, he does have some point. Frequently searches on the front pages of the major search engines turn out to be a blog exclusively for the purposes of marketing, or else an article from an article marketing site which turns out to be less than helpful. On other counts, his point does not hold up. Very often articles, taken from article marketing sites, are thoughtfully put together to help solve a particular issue or share knowledge about a niche topic where information is hard to find. Some topics, like Online Marketing, have such a dearth of information across the web that one does not need to be a professional to have access to the most up to date strategies and tools, truly democratizing the process.
So how does the new search engine work? The first, and most important, feature is that all websites indexed by the engine are approved by a team of editors. Although they are currently all native to Blekko, eventually the company hopes to have an army of editors who read through the massive amount of content absorbed by the system. Think of the Wikipedia model. This would ensure that there are enough results for each search query to match all users needs but still small enough that they are not overwhelmed with poor quality content.
The second biggest change is the addition of slash categories. This is a means of clarifying the search with a lens or sorts. Essentially this works by having everything before the slash as a search query and everything after the slash to allow the system to understand what vertical you want to search under. Think of Google images as a vertical search to understand, or else Google Blog or News searches act this way as well. This engine will allow you to specify exactly what vertical you want. An example is Honey /bees where the searcher is searching for everything having to do with the natural food honey. As opposed to the movie, song or anything else which does not fit that stringent model. As search like Boston SEO can be refined by using /podcasts for example just to get those kinds of hits.

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