Invention Grant
- Patent Title: Data-driven taxonomy for annotation resolution
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Application No.: US17752030Application Date: 2022-05-24
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Publication No.: US11676156B2Publication Date: 2023-06-13
- Inventor: Matthew Dunn , Michael Higgins
- Applicant: LIVEPERSON, INC.
- Applicant Address: US NY New York
- Assignee: LIVEPERSON, INC.
- Current Assignee: LIVEPERSON, INC.
- Current Assignee Address: US NY New York
- Agency: Polsinelli LLP
- Main IPC: G06F40/35
- IPC: G06F40/35 ; G06Q30/016 ; G06F40/169 ; G06T11/20 ; H04L51/04

Abstract:
An intent confusion evaluation engine receives conversation data corresponding to conversations between customers and agents. The engine evaluates annotations in the conversation data corresponding to intents identified from messages exchanged between customers and agents to determine levels of confusion amongst different intents. Based on these levels of confusion, the engine creates a graphical representation that illustrates the various intents and the level of confusion between different pairings of intents for the set of conversations. If an update is provided to the annotations, the graphical representation is updated dynamically and in real-time to provide updated levels of confusion amongst the various intents in accordance with the update.
Public/Granted literature
- US20220374909A1 DATA-DRIVEN TAXONOMY FOR ANNOTATION RESOLUTION Public/Granted day:2022-11-24
Information query