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March 14, 2011 07:08 pm GMT
Who do you trust most when it comes to recommendations: an algorithm or your friends? Or perhaps a mixture of machine learning and your social graph. That's something that a lot of startups are trying to figure out right now.LoveThis.com, which launches out of Beta today, is firmly in the social camp with its 'black book' of your friends' recommendations, from websites and apps, places to eat and go, or something more practical like a good plumber. That may sound like a very general list of recommendations but the site's premise is that your friends not only know best but also vouch for products and services all of the time, just not necessarily when you actually need those recommendations. LoveThis attempts to solve this problem of recall by encouraging users to store this info as structured and searchable data for later use.
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/ntbXyyotoYI/
LoveThis Launches As A "~Black Book' Of Your Friends' Recommendations
Who do you trust most when it comes to recommendations: an algorithm or your friends? Or perhaps a mixture of machine learning and your social graph. That's something that a lot of startups are trying to figure out right now.LoveThis.com, which launches out of Beta today, is firmly in the social camp with its 'black book' of your friends' recommendations, from websites and apps, places to eat and go, or something more practical like a good plumber. That may sound like a very general list of recommendations but the site's premise is that your friends not only know best but also vouch for products and services all of the time, just not necessarily when you actually need those recommendations. LoveThis attempts to solve this problem of recall by encouraging users to store this info as structured and searchable data for later use.Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/ntbXyyotoYI/
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