Cost based optimization of mobile user experience

摘要

The monthly cost of mobile services can easily exceed the designated limit. Therefore, we set a goal to create smart mobile assistant. Smart mobile assistant would advise user how and in what manner he should use mobile services, so he will get the lowest monthly cost. We have implemented a prototype, which use methods of data mining and user profiling so that can show user consumption, statistics and advises on making better use of mobile services, according to his way of consumption of mobile units. Smart mobile assistant offers advice on the use of cheaper abroad consumption of mobile units, the most appropriate mobile service, best accounting interval, etc. User can, with use of smart mobile assistant, optimally use mobile services and thus reduce the monthly cost. Competitiveness of smart mobile assistant was tested using SWOT analysis. We have found that it has an advantage over other solutions in the advanced functionalities for a better use of leased units.