A Location-Dependent Recommender System for the Web

A relevant piece of information in many context-aware applications for wireless and mobile users is the user's current location. Knowledge of the position, when combined with the user preferences, permits efficient service (or product) location, location-dependent alerting, and location-aware recommendation systems. We propose a recommendation system that is based on a standard web browser and where models determining the relevance of a given URL in a given region are derived in an automated and adaptive way through the collaboration of users of the system. With respect to existing location-dependent recommendation systems, the advantage of our proposal lies in the reduced effort required for system development and in the increased independence of the recommendation from the services (or products) owners. After an initial tuning phase, a specific URL will be recommended to a user in a given location in a way that considers where and how often it was accessed by the previous users. In detail, a new middleware layer, the location broker"