Shopper's eye: using location-based filtering for a shopping agent in the physical world

1. ABSTRACT Agents of all types rely on easily computed features that are suggestive of a user’s preferences and goals to define and constrain their tasks. Although a person’s location is usually suggestive of their current activity, agents have not relied upon a user’s location to constrain their task. This is because users have typically used their computers only from home or work, and because location has not been easily computable. However the explosive growth in the use personal digital assistants (PDAs), laptop computers, and global positioning system (GPS) receivers is enabling people to use computers in the most remote of locations, and to have their location accessed by software.