Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Artificial Intelligence for Customer Relationship Management : Solving Customer Problems - Boris Galitsky

Artificial Intelligence for Customer Relationship Management

Solving Customer Problems

By: Boris Galitsky

eText | 23 December 2020

At a Glance

eText

$249.00

or 4 interest-free payments of $62.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

The second volume of this research monograph describes a number of applications of Artificial Intelligence in the field of Customer Relationship Management with the focus of solving customer problems. We design a system that tries to understand the customer complaint, his mood, and what can be done to resolve an issue with the product or service.

To solve a customer problem efficiently, we maintain a dialogue with the customer so that the problem can be clarified and multiple ways to fix it can be sought. We introduce dialogue management based on discourse analysis: a systematic linguistic way to handle the thought process of the author of the content to be delivered. We analyze user sentiments and personal traits to tailor dialogue management to individual customers. We also design a number of dialogue scenarios for CRM with replies following certain patterns and propose virtual and social dialogues for various modalities of communication with a customer.

After we learn to detect fake content, deception and hypocrisy, we examine the domain of customer complaints. We simulate mental states, attitudes and emotions of a complainant and try to predict his behavior. Having suggested graph-based formal representations of complaint scenarios, we machine-learn them to identify the best action the customer support organization can chose to retain the complainant as a customer.

on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionComputing & I.T.Operating SystemsComputer ScienceHuman-Computer InteractionUser Interface Design & UsabilityBusiness & ManagementSales & MarketingCustomer ServicesArtificial IntelligenceGraphical & Digital Media Applications3D Graphics & Modelling

More in Operating Systems

ReFormat : Windows 11 - Adam Natad

eBOOK

ReFormat

Windows 11

eBook

$8.46

Hugging Face in Action - Wei-Meng Lee

eBOOK

Hugging Face in Action

eBook

$37.99

This product is categorised by