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公开(公告)号：US11854017B2
公开(公告)日：2023-12-26
申请号：US17170848
申请日：2021-02-08
Applicant: Zeta Global Corp.
Inventor： Bharat Goyal , Pavan Korada
Abstract: A computer implemented method, comprising: selecting a plurality of dynamic models for evaluating a scoring request, wherein the dynamic models are stored on a scoring database; deploying each of the dynamic models to one of a plurality of evaluators; synchronizing the dynamic models, the synchronizing including at least determining a same version of the dynamic models is deployed and available to all evaluators; receiving, at a scoring node, a scoring request for a score of a lead from at least one requester; separating the scoring request into a plurality of scoring requests, wherein each of the scoring requests is assigned to one of the selected dynamic models wherein the request is separated by model and aggregate model results and sent to an evaluator queue; combining results from each of the dynamic models; evaluating the combined results wherein each of the evaluators sends a model evaluation response to the response queue; and providing a response to the scoring request based on the evaluation of the combined results.
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公开(公告)号：US11295237B2
公开(公告)日：2022-04-05
申请号：US16220518
申请日：2018-12-14
Applicant: Zeta Global Corp.
Inventor： Pavan Korada , Sunpreet Singh Khanuja , Ao Li
IPC: G06N20/00 , G06F16/958 , G06F16/957 , G06K9/62 , G06N3/06 , G06N3/04 , G06N7/00 , G06N5/02 , G06N5/00
Abstract: In some examples, special-purpose machines are provided that facilitate smart copy optimization in a network service or publication system, including software-configured computerized variants of such special-purpose machines and improvements to such variants, and to the technologies by which such special-purpose machines become improved compared to other special-purpose machines that facilitate adding the new features. Such technologies can include special artificial-intelligence (AI), machine-learning (ML), and natural-language-processing (NLP) techniques.
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公开(公告)号：US20170330220A1
公开(公告)日：2017-11-16
申请号：US15594104
申请日：2017-05-12
Applicant: Zeta Global Corp.
Inventor： Pavan Korada , Sunpreet Singh Khanuja , Weiwei Zhang , Bharat Goyal
CPC classification number: G06Q30/0243 , G06F16/24578 , G06F16/9535 , G06F17/5009 , G06Q30/016 , G06Q30/0251
Abstract: Various examples are directed to systems and methods for adaptively generating leads. A marketing system may determine that a first lead score for a first lead is greater than a first lead score threshold and determine that a second lead score for a second lead is less than the first lead score threshold. The marketing system may generate a set of filtered leads including the first lead information from the first lead. The marketing system may determine a scrub rate that describes a portion of first execution cycle data having lead scores greater than the first lead score threshold and determine that the scrub rate is greater than an analysis window scrub rate by more than a scrub rate threshold. The marketing system may select a second lead score threshold that is lower than the first lead score threshold.
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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：US11887160B2
公开(公告)日：2024-01-30
申请号：US17733618
申请日：2022-04-29
Applicant: Zeta Global Corp.
Inventor： Pavan Korada , RC Rizza , Jolene Liu , Phillip Eby
IPC: G06Q30/0251 , G06Q30/0242 , G06Q30/0273
CPC classification number: G06Q30/0261 , G06Q30/0244 , G06Q30/0246 , G06Q30/0275
Abstract: The subject technology provides a targeted content curation and placement optimization system comprising a processor connected to a publication network, the publication network navigated by an online consumer seeking actionable content. An online demand side portal is accessible, via the publication network, to a content provider. An online supply side portal is accessible, via the network, to a publisher of content on the publication network. An integrated bidding exchange is communicatively coupled to the demand side portal and the supply side portal and presents user interfaces enabling receipt of bids from the content provider for placement of content by the publisher at a specified location or domain on the publication network. A geographic insights generator may generate geo-specific intender attributes that may be used to curate the targeted content and optimize one or more bidding parameters of the content provider.
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Patent Agency Ranking
公开(公告)号：US20220245667A1
公开(公告)日：2022-08-04
申请号：US17727662
申请日：2022-04-22
Applicant: Zeta Global Corp.
Inventor： Pavan Korada , Sunpreet Singh Khanuja , Weiwei Zhang , Bharat Goyal
IPC: G06Q30/02 , G06F16/9535 , G06F16/2457 , G06F30/20 , G06Q30/00
Abstract: Various examples are directed to systems and methods for adaptively generating leads. A marketing system may determine that a first lead score for a first lead is greater than a first lead score threshold and determine that a second lead score for a second lead is less than the first lead score threshold. The marketing system may generate a set of filtered leads including the first lead information from the first lead. The marketing system may determine a scrub rate that describes a portion of first execution cycle data having lead scores greater than the first lead score threshold and determine that the scrub rate is greater than an analysis window scrub rate by more than a scrub rate threshold. The marketing system may select a second lead score threshold that is lower than the first lead score threshold.
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公开(公告)号：US20240144319A1
公开(公告)日：2024-05-02
申请号：US18384853
申请日：2023-10-28
Applicant: Zeta Global Corp.
Inventor： Meziane Saidi , David Hanzelka , Pavan Korada
IPC: G06Q30/0251 , G06Q30/0241
CPC classification number: G06Q30/0254 , G06Q30/0277
Abstract: The subject technology identifies obfuscated email events received from one or more internet service providers (ISPs). The data deobfuscation layer may identify email messages including obfuscated open events and locations by monitoring the open rates of email messages received by different operating systems, ISPs, and/or device types. The data deobfuscation layer may determine accurate campaign level metrics and/or user open probabilities for batches of email messages having obfuscated events. For example, one or more machine learning models may predict an email open rate for one or more email campaigns and identify the users having the highest probability of generating a true open event. The data deobfuscation layer may be used to improve the performance of email communication networks and/or increase engagement metrics for media campaigns.
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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：US20220092635A1
公开(公告)日：2022-03-24
申请号：US17538647
申请日：2021-11-30
Applicant: Zeta Global Corp.
Inventor： Pavan Korada , Sunpreet Singh Khanuja , Yun Sam Chong , Bharat Goyal , Edward Robert Rau, JR.
IPC: G06Q30/02 , G06F16/9535 , G06F16/2457 , G06F30/20 , G06Q30/00
Abstract: Systems, methods and media for adaptive real time modeling and scoring are provided. In one example, a system for automatically generating predictive scoring models comprises a trigger component to determine, based on a threshold or trigger, such as a detection of new significant relationships, whether a predictive scoring model is ready for a refresh or regeneration. An automated modeling sufficiency checker receives and transforms user-selectable system input data. The user-selectable system input data may comprise at least one of email, display or social media traffic. An adaptive modeling engine operably connected to the trigger component and modeling sufficiency checker is configured to monitor and identify a change in the input data and, based on an identified change in the input data, automatically refresh or regenerate the scoring model for calculating new lead scores. A refreshed or regenerated predictive scoring model is output.
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公开(公告)号：US20210182865A1
公开(公告)日：2021-06-17
申请号：US17170848
申请日：2021-02-08
Applicant: Zeta Global Corp.
Inventor： Bharat Goyal , Pavan Korada
Abstract: A computer implemented method, comprising: selecting a plurality of dynamic models for evaluating a scoring request, wherein the dynamic models are stored on a scoring database; deploying each of the dynamic models to one of a plurality of evaluators; synchronizing the dynamic models, the synchronizing including at least determining a same version of the dynamic models is deployed and available to all evaluators; receiving, at a scoring node, a scoring request for a score of a lead from at least one requester; separating the scoring request into a plurality of scoring requests, wherein each of the scoring requests is assigned to one of the selected dynamic models wherein the request is separated by model and aggregate model results and sent to an evaluator queue; combining results from each of the dynamic models; evaluating the combined results wherein each of the evaluators sends a model evaluation response to the response queue; and providing a response to the scoring request based on the evaluation of the combined results.
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