Invention Grant
- Patent Title: Machine-learning-based application for improving digital content delivery
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Application No.: US16019359Application Date: 2018-06-26
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Publication No.: US11055668B2Publication Date: 2021-07-06
- Inventor: Hongche Liu , Divya Venugopalan , Shaunak Chatterjee
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06N20/00 ; G06F16/901

Abstract:
A machine for improving content delivery generates a graph representing a personalized conversational flow for sequenced delivery of digital content. The graph includes nodes representing interactive dialogues between a machine and a user, and edges that connect the nodes. The machine causes display of a user interface including a prompt related to job-seeking guidance. The machine, based on a first action in response to the prompt, dynamically adjusts the graph, the dynamic adjusting including selecting a first node. The machine generates and causes display of a first incentive content item, and a first call-to-action content item. The machine, in response to a second action received in response to the first call-to action content item, dynamically selects an edge connecting the first node and a further node. The dynamic selecting of the edge results in display of a further incentive content item, and a further call-to-action content item.
Public/Granted literature
- US20190392396A1 MACHINE-LEARNING-BASED APPLICATION FOR IMPROVING DIGITAL CONTENT DELIVERY Public/Granted day:2019-12-26
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