MACHINE LEARNING BASED TENANT-SPECIFIC CHATBOTS FOR PERFORMING ACTIONS IN A MULTI-TENANT SYSTEM
A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for confi...
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format | Patent |
Language | English |
Published |
13.05.2021
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Subjects | |
Online Access | Get full text |
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Summary: | A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase. |
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Bibliography: | Application Number: US201916680323 |