Chapter 2. Learning from user interactions

This chapter covers
  • Architecture for applying intelligence
  • Basic technical concepts behind collective intelligence
  • The many forms of user interaction
  • A working example of how user interaction is converted into collective intelligence

Through their interactions with your web application, users provide a rich set of information that can be converted into intelligence. For example, a user rating an item provides crisp quantifiable information about the user’s preferences. Aggregating the rating across all your users or a subset of relevant users is one of the simplest ways to apply collective intelligence in your application.

There are two main sources of information that can be harvested for intelligence. ...

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