[Sigia-l] Recommendation Engines - Analyses / Best Practices?

[Listera]

elliott:

> The rise of Netflix has raised the profile of the recommendation
> engine.

This is very old in Internet times. It started in mid-90s with Firefly (MIT
Media Lab-backed) and its "BigNote" music recommendation system. We have
since seen many 'personalized' systems (earlier called "collaborative
filtering"): LikeMinds, NetPerceptions, MovieCritic.com, SiteSeer.com,
Amazon,com, Mubu.com, Muze, Gigabeat, MoodLogic, Media Unbound, etc.

Ziya
Nullius in Verba