Description
Recommender System for Improving Customer Loyalty, 1st ed. 2020
Studies in Big Data Series, Vol. 55
Language: EnglishSubject for Recommender System for Improving Customer Loyalty:
Publication date: 08-2020
124 p. · 15.5x23.5 cm · Paperback
Publication date: 03-2019
124 p. · 15.5x23.5 cm · Hardback
Description
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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.
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