StumbleUpon integrates peer-to-peer and social networking principles with one-click blogging to create an emergent content referral system. Our patent-pending toolbar system automates the collection, distribution and review of web content within an intuitive social framework, providing users with a browsing experience which resembles “channel-surfing” the web. This architecture has easily scaled to millions of users.
StumbleUpon combines collaborative human opinions with machine learning of personal preference to create virtual communities of like-minded websurfers. Rating websites updates a personal profile (weblog) and generates peer networks of websurfers linked by common interest. These social networks coordinate the distribution of web content, such that users ‘stumble upon’ pages explicitly recommended by friends and peers. This social content discovery approach automates the “word-of-mouth” referral of peer-approved websites and simplifies web navigation.