Recommender System For Improving Customer Loyalty
DOWNLOAD
READ
Download Recommender System For Improving Customer Loyalty PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Recommender System For Improving Customer Loyalty book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Recommender System For Improving Customer Loyalty
DOWNLOAD
READ
Author : Katarzyna Tarnowska
language : en
Publisher: Springer
Release Date : 2019-03-19
Recommender System For Improving Customer Loyalty written by Katarzyna Tarnowska and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-19 with Technology & Engineering categories.
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.
Recommender System For Improving Customer Loyalty
DOWNLOAD
READ
Author : Katarzyna A. Tarnowska
language : en
Publisher:
Release Date : 2020
Recommender System For Improving Customer Loyalty written by Katarzyna A. Tarnowska and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with COMPUTERS categories.
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 impac t.
Encyclopedia Of Data Science And Machine Learning
DOWNLOAD
READ
Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
E Business Management
DOWNLOAD
READ
Author : Michael J. Shaw
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-11
E Business Management written by Michael J. Shaw and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-11 with Computers categories.
E-Business Management: Integration of Web Technologies with Business Models contains a collection of articles by leading information systems researchers on important topics related to the development of e-business. The goal is to enhance the understanding of the state of the art in e-business, including the most current and forward-looking research. The book emphasizes both business practices and academic research made possible by the recent rapid advances in the applications of e-business technology. The book should help graduate students, researchers, and practitioners understand major e-business developments, how they will transform businesses, and the strategic implications to be drawn.
Recommender Systems For Information Providers
DOWNLOAD
READ
Author : Andreas W. Neumann
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-03
Recommender Systems For Information Providers written by Andreas W. Neumann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-03 with Business & Economics categories.
Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase. Recommender systems automatically generate product recommendations: customers profit from a faster finding of relevant products, stores profit from rising sales. All aspects of recommender systems are covered: the economic background, mechanism design, a survey of systems in the Internet, statistical methods and algorithms, service oriented architectures, user interfaces, as well as experiences and data from real-world applications. Specific solutions for areas with strong privacy concerns, scalability issues for large collections of products, as well as algorithms to lessen the cold-start problem for a faster return on investment of recommender projects are addressed. This book describes all steps it takes to design, implement, and successfully operate a recommender system for a specific information platform.
Machine Learning Ai
DOWNLOAD
READ
Author : Prathmesh Yelne
language : en
Publisher: Codegyan
Release Date : 2023-08-01
Machine Learning Ai written by Prathmesh Yelne and has been published by Codegyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Education categories.
Discover the extraordinary possibilities of machine learning and artificial intelligence in this groundbreaking exploration. From self-driving cars to virtual assistants, this book delves into the fascinating world of algorithms and how they are transforming industries and revolutionizing our lives. Explore the inner workings of neural networks, deep learning models, and predictive analytics, and witness the profound impact they have on decision-making, problem-solving, and data analysis. Whether you're a novice or an expert in the field, prepare to be captivated by the limitless potential of machine learning and AI.
Proceedings Of Eighth International Congress On Information And Communication Technology
DOWNLOAD
READ
Author : Xin-She Yang
language : en
Publisher: Springer Nature
Release Date : 2023-07-25
Proceedings Of Eighth International Congress On Information And Communication Technology written by Xin-She Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.
This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.
From The Ear To The Brain New Data Analytics Techniques For A Better Understanding Of Human Hearing
DOWNLOAD
READ
Author : Alessia Paglialonga
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-23
From The Ear To The Brain New Data Analytics Techniques For A Better Understanding Of Human Hearing written by Alessia Paglialonga and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-23 with Science categories.
Improving Customer Satisfaction Loyalty And Profit An Integrated Measurement And Management System
DOWNLOAD
READ
Author : Michael Johnson & Andres Gustafsson
language : en
Publisher: John Wiley & Sons
Release Date : 2006-09
Improving Customer Satisfaction Loyalty And Profit An Integrated Measurement And Management System written by Michael Johnson & Andres Gustafsson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09 with categories.
Advanced Techniques In Web Intelligence 2
DOWNLOAD
READ
Author : Juan D. Velásquez
language : en
Publisher: Springer
Release Date : 2012-09-29
Advanced Techniques In Web Intelligence 2 written by Juan D. Velásquez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-29 with Technology & Engineering categories.
This research volume focuses on analyzing the web user browsing behaviour and preferences in traditional web-based environments, social networks and web 2.0 applications, by using advanced techniques in data acquisition, data processing, pattern extraction and cognitive science for modeling the human actions. The book is directed to graduate students, researchers/scientists and engineers interested in updating their knowledge with the recent trends in web user analysis, for developing the next generation of web-based systems and applications.