Invention Grant
- Patent Title: Systems and methods for determining segments of online users from correlated datasets
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Application No.: US17094044Application Date: 2020-11-10
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Publication No.: US11657416B2Publication Date: 2023-05-23
- Inventor: Jeffrey Todd Wilson
- Applicant: Yahoo Ad Tech LLC
- Applicant Address: US VA Dulles
- Assignee: Yahoo Ad Tech LLC
- Current Assignee: Yahoo Ad Tech LLC
- Current Assignee Address: VA Dulles
- Agency: Bookoff McAndrews, PLLC
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06Q30/0204 ; G06F16/22 ; G06F16/27 ; G06F12/14 ; G06Q30/0251

Abstract:
Systems and methods are disclosed for determining segments of online users from a correlated dataset. One method includes receiving, over a network, a plurality of datasets including user-related data of a plurality of users, each dataset being transmitted from a data owner; correlating, by at least one processor, the plurality of datasets into a correlated dataset; receiving a segmentation request for determining a plurality of users that qualify for a segment, the segmentation request including a set of segment rules to apply to the correlated dataset; determining, by accessing the correlated dataset, whether each user of the plurality of users qualifies for the segment based on the segment rule; and storing an indication of the segment in the correlated dataset for each user determined to qualify for the segment.
Public/Granted literature
- US20210056573A1 SYSTEMS AND METHODS FOR DETERMINING SEGMENTS OF ONLINE USERS FROM CORRELATED DATASETS Public/Granted day:2021-02-25
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