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Mark Angel

Publications -  15
Citations -  2023

Mark Angel is an academic researcher. The author has contributed to research in topics: Customer relationship management & Web server. The author has an hindex of 9, co-authored 15 publications receiving 2023 citations.

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Patent

System and method for implementing a knowledge management system

TL;DR: In this paper, a method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer, where documents are transformed from clear text into a structured record and automatically constructed indexes help identify when the structured record is an appropriate response to a query.
Patent

System and method for providing an intelligent multi-step dialog with a user

TL;DR: In this paper, a method and system for retrieving information through the use of a multi-stage interaction with a client to identify particular knowledge content associated with a knowledge map is described.
Patent

Distributed customer relationship management systems and methods

TL;DR: In this paper, the authors discuss systems and methods for implementing at least partially automated customer relationship management (CRM) distributed across various enterprises or entities, such as an anchor or affinity enterprise vending a "whole product" to consumers, and various secondary or tenant enterprises vending components of the whole product.
Patent

Efficient and cost-effective content provider for customer relationship management (CRM) or other applications

TL;DR: In this article, the concepts are organized in primary groups, such as Activities, Objects, Symptoms, and Products groups, which may be implemented as taxonomies, and a list of links or other document indicators tagged to the matched concepts is displayed for the user.
Patent

Context sensitive dynamic user interface for customer service agent

TL;DR: In this paper, a system that receives context, such as from a customer relationship management (CRM) or other case tracking system, uses the received context to formulate a customized inquiry resolution process, which is particularized to the customer inquiry.