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

IPC: G06Q30/00 ,  G06N5/04 ,  G06N20/00

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.

公开(公告)号：US11483401B2

公开(公告)日：2022-10-25

申请号：US17019484

申请日：2020-09-14

Applicant: Oath Inc.

Inventor： Rotem Stram ,  Eliran Abutbul ,  Oren Shlomo Somekh ,  Yair Koren ,  Morelle Sheer Arian

IPC: H04L67/306 ,  G06F16/9535 ,  H04L67/50

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with client devices and entities. A network profile associated with the client devices and the entities may be generated based upon the event information. A similarity profile associated with the client devices may be generated based upon the network profile. The similarity profile may be indicative of one or more similarity scores associated with a first client device and one or more client devices. A user profile associated with the first client device may be modified, based upon the similarity profile and/or one or more user profiles associated with the one or more client devices, to generate a modified user profile. Content may be selected for presentation via the first client device based upon the modified user profile.

公开(公告)号：US11645671B2

公开(公告)日：2023-05-09

申请号：US16920924

申请日：2020-07-06

Applicant: Oath Inc.

Inventor： Ariel Raviv ,  Yair Koren ,  Eliran Abutbul ,  Omer Duvdevany

IPC: G06Q30/0242 ,  G06Q30/0601 ,  G06Q30/0251 ,  G06F40/20 ,  G06Q30/0273 ,  G06Q30/0282 ,  G06Q30/0201 ,  G06N20/00 ,  G06N5/04

CPC classification number: G06Q30/0246 ,  G06F40/20 ,  G06N5/04 ,  G06N20/00 ,  G06Q30/0201 ,  G06Q30/0206 ,  G06Q30/0261 ,  G06Q30/0269 ,  G06Q30/0275 ,  G06Q30/0282 ,  G06Q30/0631 ,  G06Q30/0633

Abstract: One or more computing devices, systems, and/or methods for generating dynamic content item recommendations are provided. Content item information, extracted from message data, is aggregated to calculate popularity and attributes of content items. The content items are ranked based upon the popularity and attributes to generate a ranked list of content items. Exploration traffic is served utilizing a set of eligible content items selected from the ranked list of content items. An eligible content item is promoted for participation in auctions for serving non-exploration traffic based upon the eligible content item being served a threshold number of times.

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

IPC: G06Q30/02 ,  G06N20/00 ,  G06N5/04 ,  G06Q10/06

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.

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

IPC: G06N5/04 ,  G06N20/00

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.

公开(公告)号：US20210125220A1

公开(公告)日：2021-04-29

申请号：US16661021

申请日：2019-10-23

Applicant: Oath Inc.

Inventor： Alexander Zlotnik ,  Yair Koren ,  Abraham Shahar ,  Dror Porat

IPC: G06Q30/02

Abstract: One or more computing devices, systems, and/or methods for determining expected revenue thresholds for presentation of content items via client devices are provided. During a first period of time, whether to present a first content item via a first client device may be determined based upon a comparison of a first expected revenue associated with the first content item with a first expected revenue threshold. A first revenue value associated with presentation of content items via client devices within the first period of time may be determined. The first expected revenue threshold may be modified to generate a second expected revenue threshold based upon the first revenue value and a target revenue value. Whether to present a second content item via a second client device may be determined based upon a comparison of a second expected revenue associated with the second content item with the second expected revenue threshold.