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Group recommender systems generate a set of recommendations that will satisfy a group of customers with potentially competing purchase interests. This paper proposes a research and operational model which effectively enhances Group Recommender Model to boost the customer purchases. For this purpose, it uses the communication and collaboration of two major sources namely Mobile Money Operator and Outlet...
Telecommunication companies maintain a large database of all user communications for billing purpose. This data is now being utilized by the network providers to assess the current needs of the subscribers. Logs of Telecommunication providers not only contain connectivity data but also location data of users. Analyzing this social network along with location data helps identify social interactions...
Presently, in the data mining scenario clustering of large dataset is one of the very important techniques widely applied to many applications including social network analysis. Applying more specific pre-processing method to prepare the data for clustering algorithms is considered to be a significant step for generating meaningful segments. In this paper we propose an innovative clustering technique...
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