| 期刊全稱 | Artificial Intelligence for Customer Relationship Management | | 期刊簡稱 | Solving Customer Pro | | 影響因子2023 | Boris Galitsky | | 視頻video | http://file.papertrans.cn/163/162361/162361.mp4 | | 發(fā)行地址 | Introduces a number of dialogue management algorithms to drive a user through multiple ways of solving his problem.Explains how to detect misinformation, fake content and deception relying on discours | | 學(xué)科分類 | Human–Computer Interaction Series | | 圖書封面 |  | | 影響因子 | .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 suggeste | | Pindex | Book 2021 |
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