Restaurant recommendation service using lifelogs

Abstract

This article introduces a service that presents information about restaurants according to time, place, and occasion by using user preferences and behavior history. To make this service a reality, we have developed a variety of technologies, including technology for automatically obtaining user preferences from a record of terminal operations, GPS-based technology for automatically determining who, if anyone, is accompanying the user, and technology for automatically predicting the user's destination from his or her behavior history (GPS: global positioning system). We describe the construction of a restaurant recommendation system for smartphones equipped with these lifelog processing technologies and present the results of field experiments targeting general users.