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公开(公告)号:US20220351252A1
公开(公告)日:2022-11-03
申请号:US17735093
申请日:2022-05-02
Applicant: Zeta Global Corp.
Inventor: Steven Gerber , Pavan Korada , David Schey , Sunpreet Khanuja , Gayan De Silva
IPC: G06Q30/02
Abstract: The subject technology predicts consumer sentiment based on demographics and other statics features of the consumer as well as dynamic features generated based on engagement of the consumer with previously presented targeted content. The sentiment predictions are used to recommend and generated new targeted content that is published to the consumer.
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公开(公告)号:US20240420183A1
公开(公告)日:2024-12-19
申请号:US18783055
申请日:2024-07-24
Applicant: Zeta Global Corp.
Inventor: Steven Gerber , Pavan Korada , David Schey , Sunpreet Khanuja , Gayan De Silva
IPC: G06Q30/0251 , G06Q30/0201 , G06Q30/0204 , G06Q30/0241
Abstract: The subject technology predicts consumer sentiment based on demographics and other static features of the consumer as well as dynamic features generated based on engagement of the consumer with previously presented targeted content. The sentiment predictions are used to recommend and generate new targeted content that is published to the consumer.
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公开(公告)号:US12073438B2
公开(公告)日:2024-08-27
申请号:US17735093
申请日:2022-05-02
Applicant: Zeta Global Corp.
Inventor: Steven Gerber , Pavan Korada , David Schey , Sunpreet Khanuja , Gayan De Silva
IPC: G06Q30/0251 , G06Q30/0201 , G06Q30/0204 , G06Q30/0241
CPC classification number: G06Q30/0269 , G06Q30/0201 , G06Q30/0205 , G06Q30/0277
Abstract: The subject technology predicts consumer sentiment based on demographics and other statics features of the consumer as well as dynamic features generated based on engagement of the consumer with previously presented targeted content. The sentiment predictions are used to recommend and generated new targeted content that is published to the consumer.
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公开(公告)号:US20220012754A1
公开(公告)日:2022-01-13
申请号:US16924151
申请日:2020-07-08
Applicant: Zeta Global Corp.
Inventor: David Steinberg , Neej Gore , David Schey , Bashir Eghbali
IPC: G06Q30/02 , G06Q10/10 , G06N20/00 , G06F9/54 , G06F16/903
Abstract: The system and method of the present invention provides customers with real-time information in order to evaluate future consumer spending capacity. The present invention can help to identify situations beyond traditional credit metrics to determine change of circumstances for end-consumers. The system allows for selection of consumers based on data trends and learned industry risk and behavior indicators.
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