Group Profiling in E-Service Portals

摘要

Nowadays Service activities are social and involve different types of individuals that should be considered. Thus, group profiling can be used to connect similar customers together and recommend providers based on group evaluation. Accordingly, this paper proposes a new approach that recommends providers, based on group profiling and ranking, to be used in e-service portals. This approach focuses on group profiling and cluster users based on Ant Colony Clustering (ACC) method. In addition, the approach has been tested and three measures have been recorded including speed, aggregation precision, and result accuracy. The result of such test has shown that this approach is promising and has a high quality result.