We develop a framework to reduce the number of customer segments to the smallest quantity without losing essential information of the underlying population in the electronic …
A Ramesh, A Teredesai, A Bindra, S Pokuri… - Proceedings of the …, 2013 - dl.acm.org
Online display advertisers extensively use the concept of a user segment to cluster users into targetable groups. When the sizes of such segments are less than the desired value for …
DA Siegel - CHI'10 Extended Abstracts on Human Factors in …, 2010 - dl.acm.org
Quantitative market research and qualitative user-centered design research have long had an uneasy and complex relationship. A trend toward increasingly complex statistical …
What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? How to evaluate the results? In …
Interactive Machine Learning (IML) apps permeate all aspects of businesses, including sales. Customer segmentation is integral for sales, to identify customer groups to serve them …
The abundance of customer behavioral data alters the design and application of customer analytics systems and approaches. Segmentation is a common customer analytics practice …
A Marsella, M Stone, M Banks - Journal of Targeting …, 2005 - researchgate.net
Fax:+ 44 207 202 3000; e-mail: merlin_stone@ uk. ibm. com vendors are even now helping companies to fuse real-time deployment with what-if scenario planning, resource …
T Jiang, A Tuzhilin - IEEE transactions on knowledge and data …, 2008 - ieeexplore.ieee.org
On the Web, where the search costs are low and the competition is just a mouse click away, it is crucial to segment the customers intelligently in order to offer more targeted and …
T Jiang, A Tuzhilin - IEEE Transactions on knowledge and data …, 2006 - ieeexplore.ieee.org
There have been various claims made in the marketing community about the benefits of 1-to- 1 marketing versus traditional customer segmentation approaches and how much they can …