A cloud-based service recommendation system for use in UCWW

Abstract

This paper describes the design and implementation of a cloud-based service recommendation system used to discover and suggest to users the `best' mobile services in the emerging ubiquitous consumer wireless world (UCWW). With this distributed system, the UCWW cloud provider collects user behavior (e.g., Internet logs, web browsing, searching for services, participation in social networks, online shopping, friends' recommendations for services, etc.), analyzes this `big data' in the cloud, and recommends the `best' mobile services applicable to that particular user under the always best connected and best served (ABC&S) paradigm. A number of novel software solutions, both on the user- and cloud side, are proposed. An approach towards running this service recommendation system in a flexible and intelligent way is elaborated.