Invention Grant
- Patent Title: Machine learning techniques for detecting surges in content consumption
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Application No.: US17189073Application Date: 2021-03-01
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Publication No.: US11589083B2Publication Date: 2023-02-21
- Inventor: Oleg Valentin Khavronin , Benny Lin , Anthony Livhits , Erik Gregory Matlick , Christian Michael Burton , Robert James Armstrong
- Applicant: BOMBORA, INC.
- Applicant Address: US NY New York
- Assignee: BOMBORA, INC.
- Current Assignee: BOMBORA, INC.
- Current Assignee Address: US NY New York
- Agency: Schwabe, Williamson & Wyatt, PC
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04N21/231 ; H04L67/104 ; H04L67/14 ; H04N21/25

Abstract:
Disclosed embodiments include a content consumption monitor (CCM) determines surges in content consumption based on changes in content consumptions scores. The CCM determines the content consumptions scores for domains and/or organizations (orgs) based on session events generated by different devices/users from the org and/or domain, a number of events generated by the org/domain, content and/or user interactions with the content indicated by the events, relevancy scores of the content to one or more topics, and/or other criteria. The CCM detects surges in consumption or interest in a topic for the domain/org when the consumption score reaches a threshold and/or within a period of time. The CCM may adjust the consumption score based on the changes in the relevancy, number of events and/or the number of users over different time periods. Other embodiments may be described and/or claimed.
Public/Granted literature
- US20220279220A1 MACHINE LEARNING TECHNIQUES FOR DETECTING SURGES IN CONTENT CONSUMPTION Public/Granted day:2022-09-01
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