A funnel based joint dual mobile service discovery and exposure model

The main goal of many researches focuses on improving subscriber experience by proposing a variety of services and features to better fit his needs and expectations. In order to improve the response to this subscriber expectation and considering the huge amount of information available in the network combined with performance expectation, we combine services' descriptions with subscriber requests and profile information (use history/log and use context) to orientate the service discovery as well as exposure processes to the needs of subscribers. To better tackle this problematic, we consider these three complementary perspectives in a coherent way. In purpose to consider a very constrained environment in terms of discovery/exposure performance, we considered the telecommunication domain which is very sensitive to all of these aspects and one of the most appetence domain in that respect. This work presents our funnel based joint dual mobile service discovery and exposure model and its mechanism in order to reduce the discard between discovered/exposed services and subscribers needs. The funnel targets gradually the discovered and exposed service. A correlation mechanism based upon an enhanced bipartite graph will help targeting the most appropriate service with better performances. Our model and its results show improvement compared with other related works on several axes.