Gamification company Badgeville has made a big splash in the past year by helping web sites better engage visitors through game-like features such as leaderboards and badges. Now it is taking a step further and adding behavioral analysis to help its clients better understand their users. Analyzing users’ behavior isn’t about milking them dry or invading their privacy. Rather, it’s about showing them things they really like or really want to buy, based on friendships, interests and past behavior. Companies like Zynga and Facebook can do this easily, but Badgeville will make the tools for behavior analysis available more broadly. Badgeville adds social fabric analysis to its gamification suite
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TargetAPI - behavioral targeting solution and content personalization technology
How does Amazon's collaborative-filtering recommendation engine work
A Screencast demo of the Robot in action - TaggingRobot Blog This week represents the 1 month mark. We've gone from idea to product in 4 very fast weeks and I could not be more pleased with our product. As we move to alpha test the product, I wanted to share our progress so far.
Duine Documentation - Getting Started (1) Introduction This section describes the Duine Demo application. It is a simple java client application that uses a recommender to calculate predictions about a user's interest in movies, and to process feedback by a user about movies. For your convenience we have provided 2 distributions of this demo application: The duine-movielens-* distribution contains all demo sources and binaries, including all jar dependencies.
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