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Improving Social Search by Getting Opinions About Opinions

When it comes to social search and social recommendations today, there is a lot of hype around the concept, but given that a user’s social graph is – almost by default – limited, there are major gaps in both accuracy and coverage when it comes to putting this concept into reality. While Google +1 and Bing’s implementation of Facebook ‘like’ data are trying to find ways around this, Microsoft researcher Mohammad Raza argues (PDF) that we need a smarter recommendation system that is based on the idea that “your friends know you and can best predict your taste” and that social search can be greatly improved upon with the help of prediction extraction.