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Recommender System for Improving Customer Loyalty_Katarzyna Tarnowska, Zbigniew W. Ras, Lynn Daniel.pdf

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Studies in Big Data 55 Katarzyna Tarnowska Zbigniew W. Ras Lynn Daniel Recommender System for Improving Customer Loyalty Studies in Big Data Volume 55 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland The series“Studies in Big Data”(SBD) publishes new developments and advances in the various areas of Big Data- quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in thefields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and others. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence including neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. ** Indexing: The books of this series are submitted to ISI Web of Science, DBLP, Ulrichs, MathSciNet, Current Mathematical Publications, Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink. More information about this series athttp://www.springer.com/series/11970 Katarzyna TarnowskaZbigniew W. Ras Lynn Daniel RecommenderSystem forImprovingCustomer Loyalty 123 Katarzyna Tarnowska Department of Computer Science San Jose State University San Jose, CA, USA Zbigniew W. Ras Department of Computer Science University of North Carolina Charlotte, NC, U
Recommender System for Improving Customer Loyalty_Katarzyna Tarnowska, Zbigniew W. Ras, Lynn Daniel.pdf