Machine learning based tenant-specific chatbots for performing actions in a multi-tenant system
US11769013B2 · kind B2 · utility
Assignee
Inventors
- Michael Machado
- James Douglas Harrison
- Caiming Xiong
- Xinyi Yang
- Thomas A. 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
- Johnson Liu
- Rafael Amsili
Key dates
| Filing date | Nov 11, 2019 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Apr 15, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.