List of Tables

Chapter 1. Understanding collective intelligence

Table 1.1. Some of the ways to harness collective intelligence in your application

Table 1.2. Seven principles of Web 2.0 applications

Chapter 2. Learning from user interactions

Table 2.1. Summary of services that a typical application-embedding intelligence contains

Table 2.2. Examples of user-profile attributes

Table 2.3. The many ways users provide valuable information through their interactions

Table 2.4. Dataset with small number of attributes

Table 2.5. Dataset with large number of attributes

Table 2.6. Sparsely populated dataset corresponding to term vectors

Table 2.7. Ratings data used in the example

Table 2.8. Dataset to describe photos

Table 2.9. Normalized dataset for ...

Get Collective Intelligence in Action now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial