Adaptive radio

TLDR

Negative preferences can be applied to information filtering, intelligent environments, and collaborative design. The study introduces negative preferences to generate solutions acceptable to a group of users. By identifying what users dislike, the authors implemented Adaptive Radio, which selects music for shared spaces by avoiding disliked songs rather than seeking liked ones.

Abstract

We introduce the use of negative preferences to produce solutions that are acceptable to a group of users. This technique takes advantage of the fact that discovering what a user does not like can be easier than discovering what the user does like. To illustrate the approach, we implemented Adaptive Radio, a system that selects music to play in a shared environment. Rather than attempting to play the songs that users want to hear, the system avoids playing songs that they do not want to hear. Negative preferences could potentially be applied to information filtering, intelligent environments, and collaborative design.