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Web 2.0 technologies provide rich and lightweight online tools that let users contribute with new data. They can associate in social networks, share ideas and information and collaborate together for many kind of reasons, obtaining a community's "collective intelligence". We propose to compute this collective intelligence with a Mobile Decision Support System (MDSS) to aggregate recommendations and use this collective advice to improve the customer satisfaction in decision making situations related with the m-commerce activities.