Invention Grant
- Patent Title: Machine learning based tenant-specific chatbots for performing actions in a multi-tenant system
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Application No.: US16680323Application Date: 2019-11-11
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Publication No.: US11769013B2Publication Date: 2023-09-26
- Inventor: Michael Machado , James Douglas Harrison , Caiming Xiong , Xinyi Yang , Thomas Archie Cook , Roojuta Lalani , Jean-Marc Soumet , Karl Ryszard Skucha , Juan Rodriguez , Manju Vijayakumar , Vishal Motwani , Tian Xie , Bryan McCann , Nitish Shirish Keskar , Zhihao Zou , Chitra Gulabrani , Minal Khodani , Adarsha Badarinath , Rohiniben Thakar , Srikanth Kollu , Kevin Schoen , Qiong Liu , Amit Hetawal , Kevin Zhang , Kevin Zhang , Johnson Liu , Rafael Amsili
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: Salesforce, Inc.
- Current Assignee: Salesforce, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Fenwick & West LLP
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G06F40/30 ; G06N3/08 ; H04L51/02 ; G06N3/04 ; G06F40/295

Abstract:
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.
Public/Granted literature
- US20210141865A1 MACHINE LEARNING BASED TENANT-SPECIFIC CHATBOTS FOR PERFORMING ACTIONS IN A MULTI-TENANT SYSTEM Public/Granted day:2021-05-13
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