Invention Grant
- Patent Title: Machine learning based models for automatic conversations in online systems
-
Application No.: US17202077Application Date: 2021-03-15
-
Publication No.: US11790894B2Publication Date: 2023-10-17
- Inventor: Yixin Mao , Zachary Alexander , Victor Winslow Yee , Joseph R. Zeimen , Na Cheng , Chien-Sheng Wu , Wenhao Liu , Caiming Xiong
- 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 ; H04L51/02 ; G10L15/06 ; G10L15/08 ; G10L15/22 ; G06F16/33 ; G06F40/56

Abstract:
A system uses conversation engines to process natural language requests and conduct automatic conversations with users. The system generates responses to users in an online conversation. The system ranks generated user responses for the online conversation. The system generates a context vector based on a sequence of utterances of the conversation and generates response vectors for generated user responses. The system ranks the user responses based on a comparison of the context vectors and user response vectors. The system uses a machine learning based model that uses a pretrained neural network that supports multiple languages. The system determines a context of an utterance based on utterances in the conversation. The system generates responses and ranks them based on the context. The ranked responses are used to respond to the user.
Public/Granted literature
- US20220293094A1 MACHINE LEARNING BASED MODELS FOR AUTOMATIC CONVERSATIONS IN ONLINE SYSTEMS Public/Granted day:2022-09-15
Information query