Modeling Personal Preference Using Shopping Behaviors in Ubiquitous Information Environment

We have been developing an experimental prototype system -Smart Shop, an application of personal information assistance in a shopping context, (1) to find items of users’ interest and/or preferences through data observed from users’ behaviors in a ubiquitous information environment, (2) to automatically build a user preference model, and (3) to apply the model and provide suitable information service in the real world. Utilizing ubiquitous sensors, we apply three types of observation scopes to model each user’s preference. They are microscopic, mezzoscopic, and macroscopic observation scopes. Our system can inject suitable and controlled messages to a user to build up his precise preference model without putting any stress on him. Keyword Information Services, Personal Preference, Smart Shop, Shopping Assistance, Ubiquitous