Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of "target individuals", with the ultimate goal of affecting as many of them as possible, such as in marketing, service provision and political campaigns. Typically, the cost of interactions is monotonically increasing such that a method for maximizing the performance of these campaigns is required. This chapter proposes a mathematical model to compute an optimized campaign by automatically determining the number of interacting units and their type, and how they should be allocated to different geographical regions in order to maximize the campaign's performance. The proposed model is validated using real world mobility data.
|Title of host publication||Geo-Intelligence and Visualization through Big Data Trends|
|Number of pages||42|
|ISBN (Print)||1466684658, 9781466684652|
|State||Published - 19 Aug 2015|