  This paper describes a Research Prototype, WebSelect, designed to assist
online media planners in deciding which websites to target for a media
campaign. The salient feature of the prototype is its ability to capture and
utilize the overlap information in website traffic and use it for media
planning exercises. In addition, the prototype possesses the capability to
include targeting parameters like users age group and income along with the
varying advertising costs across different websites. The prototype uses a
genetic algorithm at the backend to select the final subset to target from the
possible website set.
