| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191121b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783030134372 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
001.64 |
| Item number |
TAR |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tarnowska, Katarzyna |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Recommender system for improving customer loyalty |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cham |
| Name of publisher, distributor, etc |
Springer |
| Date of publication, distribution, etc |
2020 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xviii,133 p. |
| Other physical details |
ill. |
| Dimensions |
24 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
119.99 |
| Price type code |
EUR |
| Unit of pricing |
82.00 |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Studies in big data |
| Volume number/sequential designation |
v. 55 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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. The Recommender System presented here addresses several important issues. (1) It provides a decision framework to help managers determine which actions are likely to have the greatest impact on the Net Promoter Score. (2) The results are based on multiple clients. The data mining techniques employed in the Recommender System allow users to “learn” from the experiences of others, without sharing proprietary information. This dramatically enhances the power of the system. (3) It supplements traditional text mining options. Text mining can be used to identify the frequency with which topics are mentioned, and the sentiment associated with a given topic. The Recommender System allows users to view specific, anonymous comments associated with actual customers. Studying these comments can provide highly accurate insights into the steps that can be taken to improve the customer experience. (4) Lastly, the system provides a sensitivity analysis feature. In some cases, certain actions can be more easily implemented than others. The Recommender System allows managers to “weigh” these actions and determine which ones would have a greater impact. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Customer Relations Management |
|
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| Topical term or geographic name as entry element |
Data Mining and Knowledge Discover |
|
|---|
| Topical term or geographic name as entry element |
Optical Pattern Recognition |
|
|---|
| Topical term or geographic name as entry element |
Computational Intelligence |
|
|---|
| Topical term or geographic name as entry element |
Pattern Recognition |
|
|---|
| Topical term or geographic name as entry element |
Recommender systems |
|
|---|
| Topical term or geographic name as entry element |
Information filtering |
|
|---|
| Topical term or geographic name as entry element |
Customer loyalty |
|
|---|
| Topical term or geographic name as entry element |
Information Technology |
| 710 ## - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Ras, Zbigniew W. |
|
|---|
| Corporate name or jurisdiction name as entry element |
Daniel, Lynn |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |