Titlebook: Artificial Intelligence for Customer Relationship Management; Solving Customer Pro Boris Galitsky Book 2021 The Editor(s) (if applicable) a

Addictive

reflection

Reasoning for Resolving Customer Complaints,pter demonstrates that the hybrid reasoning approach outperforms both stand-alone deductive and inductive components. The suggested methodology reflects the general situation of reasoning in dynamic domains in the conditions of uncertainty, merging analytical (rule-based) and analogy-based reasoning

AROMA

,Concept-Based Learning of Complainants’ Behavior, and takes advantage of a more accurate way of matching sequences of communicative actions. Scenario representation and comparative analysis techniques developed herein are applied to the classification of textual customer complaints as a CRM component. In order to estimate complaint validity, we ta

CLEFT

Mangle

Aggregate

Artificial Intelligence for Customer Relationship ManagementSolving Customer Pro

TRACE

Disk199

Demographic and Biological Applications,thoritative conclusive answer in an attempt to satisfy this user. We develop a technique to build a representation of a logical argument from discourse structure and to reason about it to confirm or reject this argument. Our evaluation also involves a machine learning approach and confirms that a hy

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