MultiCamp-Cost sensitive active learning algorithm for multiple parallel campaigns Conference Paper uri icon


  • Abstract: One of the challenges that companies face when launching a campaign to promote new services is selecting the'right'customers for the campaign, ie, customers with the highest probability of a positive response. Active learning can be used to efficiently identify this set of customers. It can also prevent approach to non-relevant customers and reduce the campaign's cost. The problem is more challenging when parallel campaigns for multiple new services are launched, given a constraint on the number of promotions that can be …

publication date

  • November 17, 2010