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

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31#
發(fā)表于 2025-3-26 22:12:32 | 只看該作者
A Virtual Social Promotion Chatbot with Persuasion and Rhetorical Coordination,finds documents, extracts topics from them, organizes these topics in clusters, receives from the user clarification on which cluster is most relevant, and provides the content for this cluster. This content can be provided in the form of a virtual dialogue so that the answers are derived from the f
32#
發(fā)表于 2025-3-27 01:21:59 | 只看該作者
33#
發(fā)表于 2025-3-27 05:29:24 | 只看該作者
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發(fā)表于 2025-3-27 12:39:52 | 只看該作者
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發(fā)表于 2025-3-27 20:23:08 | 只看該作者
37#
發(fā)表于 2025-3-27 23:23:49 | 只看該作者
CRM Becomes Seriously Ill,department. We explore a technology that can detect this performance and a root cause for it, in terms of We explore the phenomenon of Distributed Incompetence (DI), which is an opposite to Distributed Knowledge and occurs in various organizations such as customer support. In a DI organization, a te
38#
發(fā)表于 2025-3-28 02:14:38 | 只看該作者
Book 2021social 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
39#
發(fā)表于 2025-3-28 09:14:32 | 只看該作者
A Virtual Social Promotion Chatbot with Persuasion and Rhetorical Coordination,e to follow another, or inappropriate, based on communicative discourse considerations. We then describe a chatbot performing advertising and social promotion (CASP) to assist in the automation of managing friends and other social network contacts. This agent employs a domain-independent natural lan
40#
發(fā)表于 2025-3-28 11:18:04 | 只看該作者
Concluding a CRM Session,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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