Buch, Englisch, 445 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 852 g
Keeping Customers Informed
Buch, Englisch, 445 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 852 g
Reihe: Human–Computer Interaction Series
ISBN: 978-3-030-52166-0
Verlag: Springer International Publishing
Artificial Intelligence for Customer Relationship Management leverages a number of Natural Language Processing (NLP), Machine Learning (ML), simulation and reasoning techniques to enable CRM with intelligence. An effective and robust CRM needs to be able to chat with customers, providing desired information, completing their transactions and resolving their problems. It introduces a systematic means of ascertaining a customers’ frame of mind, their intents and attitudes to determine when to provide a thorough answer, a recommendation, an explanation, a proper argument, timely advice and promotion or compensation. The author employs a spectrum of ML methods, from deterministic to statistical to deep, to predict customer behavior and anticipate possible complaints, assuring customer retention efficiently.
Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Marketing
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Kundenbeziehungsmanagement, Kundenpflege
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Technische Wissenschaften Technik Allgemein Modellierung & Simulation
- Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie Emotion, Motivation, Handlung
Weitere Infos & Material
Introduction.- Distributional Semantics for CRM: Making word2vec Models Robust by Structurizing Them.- Employing Abstract Meaning Representation to Lay the Last Mile towards Reading Comprehension.- Summarized Logical Forms for Controlled Question Answering.- Summarized Logical Forms based on Abstract Meaning Representation and Discourse Trees.- Acquiring New Definitions of Entities.- Inferring Logical Clauses for Answering Complex Multi-hop Open Domain Questions.- Managing Customer Relations in an Explainable Way.- Recognizing Abstract Classes of Text Based on Discourse.- Conversational Explainability for CRM