In this second article on personalization, we'll examine a
typical scenario and implement a personalization scheme using the
methods we described previously.
Introduction
Last time, we took a look at the basics of personalization: What
it means, how to accomplish it, and what it can do for you. In
this article we're going to take a deeper look at
personalization, and actually build a simple implementation using
the methods we outlined previously.
Quickly, let's outline the types of personalization we talked
about last time:
Rules Based - Designers must know ahead of time what the
condition is and what to do about it. It is often similar to an
if/then type format.
Collaborative Filtering - This method offers users
customized information depending on what others like him have
done previously.
Inference - This method relies on learning the user's
behavior by monitoring what they're doing at the moment. For
instance, we monitor a user's clicks and see that they've clicked
on computer books the last seven out of ten times. Therefore, we infer
that this user is interested in computer books, and we can tailor
the site accordingly.
