Recommender System for Improving Customer Loyalty
Katarzyna Tarnowska, Lynn Daniel, Zbigniew W. Ras, et al.
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika
Beschreibung
This book presents the Recommender System for Improving Customer Loyalty. New and innovative products have begun appearing from a wide variety of countries, which has increased the need to improve the customer experience. When a customer spends hundreds of thousands of dollars on a piece of equipment, keeping it running efficiently is critical to achieving the desired return on investment. Moreover, managers have discovered that delivering a better customer experience pays off in a number of ways. A study of publicly traded companies conducted by Watermark Consulting found that from 2007 to 2013, companies with a better customer service generated a total return to shareholders that was 26 points higher than the S&P 500. This is only one of many studies that illustrate the measurable value of providing a better service experience.
Kundenbewertungen
Customer Retention, Recommendation from Action Rules, Customer Loyalty Improvement Recommender System, Sentiment Analysis, Meta-action Retraction, Computational Intelligence, Recommender Systems, CLIRS, Big Data, Actionable Knowledge