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公开(公告)号：US20210390577A1
公开(公告)日：2021-12-16
申请号：US16897609
申请日：2020-06-10
Applicant: Oath Inc.
Inventor： Tal Cohen , Yair Koren , Abraham Shahar , Alexander Zlotnik , Yohay Kaplan
Abstract: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.
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公开(公告)号：US11127035B2
公开(公告)日：2021-09-21
申请号：US16526157
申请日：2019-07-30
Applicant: Oath Inc.
Inventor： Rotem Stram , Yohay Kaplan , Michal Aharon
IPC: G06Q30/02
Abstract: One or more computing devices, systems, and/or methods for aggregated cost per action prediction are provided. Cost and conversion count data, comprising costs for a set of content items to be displayed to users and a count of conversions corresponding to actions performed by users in response to being provided with the set of content items, is tracked. The cost and conversion count data is inputted into a set of decay calculators that utilize different decay strategies. Cost per action predictions by the set of decay calculators for a content item are weighted to create an aggregated cost per action prediction, wherein the weights are based upon whether decay calculators correctly or incorrectly predicted cost per actions for the set of content items.
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公开(公告)号：US11481800B2
公开(公告)日：2022-10-25
申请号：US16897609
申请日：2020-06-10
Applicant: Oath Inc.
Inventor： Tal Cohen , Yair Koren , Abraham Shahar , Alexander Zlotnik , Yohay Kaplan
Abstract: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.
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公开(公告)号：US20220004896A1
公开(公告)日：2022-01-06
申请号：US16919690
申请日：2020-07-02
Applicant: Oath Inc.
Inventor： Rina Leibovits , Oren Somekh , Yohay Kaplan , Yair Koren
Abstract: The present teaching relates to method, system, and computer programming product for dynamic vector allocation. Machine learning is conducted using training data constructed based on a target vector having a plurality of feature entries, wherein each of the plurality of feature entries is mapped from at least one original attribute from one or more original source vectors. A feature entry in the target vector is identified based on a first criterion associated with an assessment of the machine learning, for replacing the corresponding at least one original attribute from the one or more original source vectors. At least one alternative attribute from alternative source vectors based on a second criterion is determined, wherein the at least one alternative attribute is to be mapped to the feature entry of the target vector. The feature entry of the target vector is populated based on the at least one alternative attribute.
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公开(公告)号：US11636361B2
公开(公告)日：2023-04-25
申请号：US16928308
申请日：2020-07-14
Applicant: Oath Inc.
Inventor： Roie Melamed , Yohay Kaplan , Yair Koren
Abstract: One or more computing devices, systems, and/or methods for content recommendations using historical future data are provided. A model serving delay time is computed as an average of training delays of events. A historical data time interval is determined based upon the model serving delay time. A model is trained for predicting user content preferences using historic user distribution data and historic content distribution data associated with the historic data time interval. The model is utilized to generate and provide content recommendations to users.
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Patent Agency Ranking
公开(公告)号：US20210200774A1
公开(公告)日：2021-07-01
申请号：US16731108
申请日：2019-12-31
Applicant: Oath Inc.
Inventor： Lakshmi Narayan Bhamidipati , Ravi Kant , Yohay Kaplan , Alexander Shtof
IPC: G06F16/2457 , G06F16/248
Abstract: One or more computing devices, systems, and/or methods for selecting content items for presentation via client devices are provided. A content event associated with a content item performed by a client device may be detected. The content item may be associated with an entity. A conversion event, associated with the entity, performed by the client device may be detected. A duration of time between the content event and the conversion event may be determined. An attribution score may be determined based upon the duration of time. A plurality of attribution scores, comprising the attribution score, may be stored in an attribution data structure associated with the content item. Responsive to receiving a request for content associated with a second client device, the content item may be selected from a plurality of content items for presentation via the second client device based upon the attribution data structure.
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公开(公告)号：US20210035157A1
公开(公告)日：2021-02-04
申请号：US16526157
申请日：2019-07-30
Applicant: Oath Inc.
Inventor： Rotem Stram , Yohay Kaplan , Michal Aharon
IPC: G06Q30/02
Abstract: One or more computing devices, systems, and/or methods for aggregated cost per action prediction are provided. Cost and conversion count data, comprising costs for a set of content items to be displayed to users and a count of conversions corresponding to actions performed by users in response to being provided with the set of content items, is tracked. The cost and conversion count data is inputted into a set of decay calculators that utilize different decay strategies. Cost per action predictions by the set of decay calculators for a content item are weighted to create an aggregated cost per action prediction, wherein the weights are based upon whether decay calculators correctly or incorrectly predicted cost per actions for the set of content items.
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公开(公告)号：US11556814B2
公开(公告)日：2023-01-17
申请号：US16800504
申请日：2020-02-25
Applicant: Oath Inc.
Inventor： Alexander Shtof , Yair Koren , Yohay Kaplan
Abstract: One or more computing devices, systems, and/or methods for content recommendation based upon continuity and grouping information of attributes are provided herein. User interaction data specifying whether users interacted with content items, user attributes of the users, and content attributes of the content items is obtained. A data structure is populated with the user interaction data. The data structure is modified by inserting a set of sub-fields into the data structure for a user attribute. A sub-field is populated with a value representing an option of the user attribute. The set of sub-fields are an encoding of continuity information and grouping information representing options for the user attribute. The data structure is processed using machine learning functionality to generate a model. The model is utilized to generate a prediction as to whether a user will interact with a content item.
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公开(公告)号：US20220019912A1
公开(公告)日：2022-01-20
申请号：US16928308
申请日：2020-07-14
Applicant: Oath Inc.
Inventor： Roie Melamed , Yohay Kaplan , Yair Koren
Abstract: One or more computing devices, systems, and/or methods for content recommendations using historical future data are provided. A model serving delay time is computed as an average of training delays of events. A historical data time interval is determined based upon the model serving delay time. A model is trained for predicting user content preferences using historic user distribution data and historic content distribution data associated with the historic data time interval. The model is utilized to generate and provide content recommendations to users.
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公开(公告)号：US11182390B2
公开(公告)日：2021-11-23
申请号：US16731108
申请日：2019-12-31
Applicant: Oath Inc.
Inventor： Lakshmi Narayan Bhamidipati , Ravi Kant , Yohay Kaplan , Alexander Shtof
IPC: G06F17/10 , G06F16/2457 , G06F16/248
Abstract: One or more computing devices, systems, and/or methods for selecting content items for presentation via client devices are provided. A content event associated with a content item performed by a client device may be detected. The content item may be associated with an entity. A conversion event, associated with the entity, performed by the client device may be detected. A duration of time between the content event and the conversion event may be determined. An attribution score may be determined based upon the duration of time. A plurality of attribution scores, comprising the attribution score, may be stored in an attribution data structure associated with the content item. Responsive to receiving a request for content associated with a second client device, the content item may be selected from a plurality of content items for presentation via the second client device based upon the attribution data structure.
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