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New Recommendation Engine Improves Search Results On Internet

- inSuggest makes online life easier with advanced recommendation technology. Today, the service Web inSuggest is being launched. It helps people find the right things on Internet.
Issued By: inSuggest
Feb 05, 2008 07:43:33
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FOR IMMEDIATE RELEASE

PRLog (Press Release)Feb 05, 2008 – Today, the service Web inSuggest is being launched. It helps people find the right things on Internet. Traditional search engines, such as Google and Yahoo, does only present things that the users know they are looking for, while inSuggest gives recommendations that the users did NOT know they were looking for.

“Ordinary search engines do have limitations. Personal recommendations will be a more important way of consuming content on the web, when the amount of online content is growing”, says Dennis Gustafsson, founder of inSuggest.

Web inSuggest is available on http://web.insuggest.com

inSuggest is a recommendation engine, and works in the same way as when rumors are spreading in social networks. The engine is developed in-house and by telling what you like, inSuggest matches the results with recommendations from people with similar taste. There are possibilities to perform searches, but the core of inSuggest is the recommendation technology.

Web inSuggest is the second implementation from inSuggest, after the ‘Image inSuggest’, which is giving recommendations on Flickr images. Both services are available on http://www.insuggest.com

For more information, contact inSuggest by e-mail info(at)inSuggest.com or phone: +46-317-809-598.

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Founder’s biography: Dennis Gustafsson, M.Sc in Media Technology and Engineering. Last year, he was selected as ”Engineer hero”, by Sveriges Ingenjörer (The Swedish Association of Graduate Engineers). Dennis has also founded Meqon Research, which is a company that provides services for making object movements in computer games more realistic

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Website:http://insuggest.com
Email:Click to contact author
Phone:+46317809598
Country:Sweden
Categories:Web 2.0, Web Sites, Recommendation Engines
Tags:mashup, web 2.0, insuggest, recommendations

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