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公开(公告)号：US11422834B2
公开(公告)日：2022-08-23
申请号：US16363413
申请日：2019-03-25
Applicant: Oath Inc.
Inventor： John Donald , Eric Theodore Bax , Kimberly Williams , Tanisha Sharma , Melissa Susan Gerber , Nikki Mia Williams
IPC: G06F9/451 , G06F3/0482
Abstract: One or more computing devices, systems, and/or methods for implementing automated barriers and delays for communication are provided. Content generated by a user may be evaluated to classify the content before the content has been submitted for access by other users. A user interface is generated and populated with an activity for the user to perform based upon a classification of the content. The user may be restricted from submitting the content until successful performance of the activity. Upon determining that the user successfully performed the activity, the user may be provided with an option to submit the content. Otherwise, the user may be blocked from submitting the content.
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公开(公告)号：US11381579B2
公开(公告)日：2022-07-05
申请号：US16354289
申请日：2019-03-15
Applicant: Oath Inc.
Inventor： Gaurav Chaula , Kavind Aggarwal
IPC: H04L9/40
Abstract: One or more computing devices, systems, and/or methods for determining whether requests for content are fraudulent are provided. A request for content may be received from a first device. A first user profile associated with the first device may be identified. The first user profile may comprise activity information associated with the first device, demographic information associated with the first device and/or interest information associated with the first device. A user profile database may be analyzed to identify a set of user profiles similar to the first user profile. A relevance score associated with the request for content may be generated based upon the resource, the set of user profiles and/or the first user profile. The relevance score may be compared with a threshold relevance to determine whether the request for content is fraudulent.
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公开(公告)号：US11372924B2
公开(公告)日：2022-06-28
申请号：US16448132
申请日：2019-06-21
Applicant: Oath Inc.
Inventor： Su-Chen Lin , Jian-Chih Ou , Tzu-Chiang Liou , Wei-Lun Su
IPC: G06F16/90 , G06F16/9032 , G06F16/2457 , G06F16/9535 , G06K9/62 , G06F16/242 , G06N20/00 , G06F16/951
Abstract: One or more computing devices, systems, and/or methods for generating a list of suggested queries associated with one or more keywords are provided. For example, one or more keywords may be received via a search interface. A plurality of queries associated with the one or more keywords may be determined based upon the one or more keywords and a historical query database. A plurality of relationship scores associated with the plurality of queries may be generated based upon a plurality of search sessions associated with the historical query database. The historical query database may be analyzed to determine a plurality of click rates associated with the plurality of queries. A list of suggested queries may be generated based upon the plurality of relationship scores and the plurality of click rates.
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公开(公告)号：US20220121549A1
公开(公告)日：2022-04-21
申请号：US17072849
申请日：2020-10-16
Applicant: Oath Inc.
Inventor： Sanika SHIRWADKAR , Kostas TSIOUTSIOULIKLIS , Rao SHEN
Abstract: The instant system and methods solves the cold start problem through various systems and methods directed to aggregating user interaction data associated with a user over a period of time, scoring the user interaction data to determine at least one user interest relevance score and/or at least one surfacing user interest score for each of the plurality of user interaction types, wherein the scoring includes a time sensitive weighting scheme, and generating a user interest profile partition for each of the plurality of user interaction types based on the at least one user interest relevance score and/or the at least one surfacing user interest score.
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公开(公告)号：US11294873B2
公开(公告)日：2022-04-05
申请号：US16207761
申请日：2018-12-03
Applicant: Oath Inc.
Inventor： Xing Yi , Zhen Yue , Alyssa Glass Owara , Shuguang Han
IPC: G06F16/00 , G06F16/22 , G06N20/00 , G06F16/28 , G06F16/2455 , G06F16/2457 , G06F16/9032
Abstract: One or more systems and/or methods of generating a query-goal-mission structure for a set of queries are provided. A set of queries may be evaluated to identify query information for the queries within the set of queries. The queries may be evaluated as query pairs to determine common goal probabilities (e.g., likelihood two queries correspond to a particular goal, such as to identify vacation planning information) for the query pairs. Responsive to the common goal probabilities for the query pairs exceeding a goal probability threshold, the query pairs may be grouped into goal clusters. The goal clusters may be evaluated as goal cluster pairs to determine common mission probabilities. Responsive to the common mission probabilities for the goal cluster pairs exceeding a mission probability threshold, the goal clusters may be grouped into mission clusters. The mission clusters and the goal clusters may be utilized to generate a query-goal-mission structure.
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Patent Agency Ranking
公开(公告)号：US20220092644A1
公开(公告)日：2022-03-24
申请号：US17028162
申请日：2020-09-22
Applicant: Oath Inc.
Inventor： Junwei Pan , Tian Zhou , Aaron Eliasib Flores
Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.
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公开(公告)号：US11283969B2
公开(公告)日：2022-03-22
申请号：US16536522
申请日：2019-08-09
Applicant: Oath Inc.
Inventor： Tony Lu , Gongxun Liu , Ming Hay Luk , Gabriel Audick , Suraj Sirpilli , Tiju Jose , Arunkumar Balasubramanian
IPC: H04N5/222 , H04N21/262 , H04N21/218 , H04N5/265
Abstract: The present teaching relates to method, system, medium, and implementations for managing a virtual studio. A plurality of single data streams from a plurality content contributors are received. When a request is received, via public network connections, for creating a composite data stream associated with a virtual room in the virtual studio, signaling information is generated for constructing the composite data stream by stitching together some of the plurality of single data streams selected to be incorporated in the composite data stream in accordance with a layout. When an access request is received from an end user to access the composite data stream, the composite data stream is delivered to the end user in response to the access request.
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公开(公告)号：US20220036248A1
公开(公告)日：2022-02-03
申请号：US16944415
申请日：2020-07-31
Applicant: Oath Inc.
Inventor： Gal Lalouche , Ran Wolff
Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. A check is performed on a level of available bidding currency for bidding a training sample that is used to train a model via machine learning. A bid in an amount within the available bidding currency is sent, to a source of the training sample, for the training sample. The training sample is received from the source when the bid is successful. A prediction is then generated in accordance with the training sample based on one or more parameters associated with the model and is sent to the source.
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公开(公告)号：US11238365B2
公开(公告)日：2022-02-01
申请号：US15858001
申请日：2017-12-29
Applicant: Oath Inc.
Inventor： Francis Hsu , Mridul Jain , Saurabh Tewari
Abstract: The present teaching relates to a method and system for validating labels of training data. A first group of data records associated with the training data are received, wherein each of the first group of data records includes a vector having at least one feature and a first label. For each of the first group of data records, a second label is determined based on the at least one feature in accordance with a first model. Thereafter, a loss based on the first label associated with the data record and the second label is obtained, and the data record having an incorrect first label is classified when the loss meets a pre-determined criterion. Upon classifying the data records, a sub-group of the first group of data records is generated, wherein each of the data records included in the sub-group has the incorrect first label.
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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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