Recommender System for Improving Customer Loyalty, 1st ed. 2020 Studies in Big Data Series, Vol. 55

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.

Chapter 1: Introduction.- Chapter 2: Customer Loyalty Improvement.- Chapter 3: State of the Art.- Chapter 4: Background.- Chapter 5: Overview of Recommender System Engine.- Chapter 6: Visual Data Analysis.- Chapter 7: Improving Performance of Knowledge Miner.- Chapter 8: Recommender System Based on Unstructured Data.- Chapter 9: Customer Attrition Problem.- Chapter 10: Conclusion.