Location modeling using transaction data for validation

    公开(公告)号:US11983712B2

    公开(公告)日:2024-05-14

    申请号:US17023029

    申请日:2020-09-16

    Applicant: Google LLC

    CPC classification number: G06Q20/401 G06Q20/3224 G06Q20/4015

    Abstract: Location modeling may be generated for candidate locations based on validated location data. The location models for candidate locations may be based on validated location data associated with wireless access points that is validated using transaction data. Such validation may include comparing an identifier associated with candidate location data received from a client device to an identifier for a transaction account associated with a transaction from transaction data at a candidate location. Matching transaction data and candidate location data may generate validated location data to be used in generating location models for candidate locations.

    Systems and methods for annotating online content with offline interaction data

    公开(公告)号:US11734729B2

    公开(公告)日:2023-08-22

    申请号:US17119264

    申请日:2020-12-11

    Applicant: GOOGLE LLC

    CPC classification number: G06Q30/0277 G06Q30/0242 G06Q50/01

    Abstract: A computer-implemented method for annotating online content with offline interaction data and offline interaction conversion data is implemented by a content annotating computing device in communication with a memory. The method includes receiving a set of content interaction data based on an online interaction between an online user and a first online content item, identifying at least one physical location associated with the online content provider, determining a set of offline interaction conversion data based on the set of content interaction data and a set of offline interaction data, receiving a second online content item associated with the online content provider, and annotating the second online content item based at least partially on the set of offline interaction conversion data and the set of offline interaction data.

    GENERATING BRIDGE MATCH IDENTIFIERS FOR LINKING IDENTIFIERS FROM SERVER LOGS

    公开(公告)号:US20200236094A1

    公开(公告)日:2020-07-23

    申请号:US16843553

    申请日:2020-04-08

    Applicant: Google LLC

    Abstract: Systems and methods of matching identifiers between multiple datasets are described herein. A system can transmit a first identifier vector to a third party server. The first identifier vector can include a first identifier, first parameters, and second parameters. The system can receive, from the third party server, the first identifier vector encrypted based on a third-party encryption. The system can receive, from the third party server, a second identifier vector encrypted based on the third-party encryption associated with the third party server. The second identifier vector can include a second identifier, third parameters, and fourth parameters. The system can determine a correlation count between the first identifier vector and the second identifier vector. The system can determine that the first identifier corresponds to the second identifier based on the correlation count. The system can generate one identifier key for both the first identifier and the second identifier.

    Systems and Methods for Annotating Online Content with Offline Interaction Data

    公开(公告)号:US20230351452A1

    公开(公告)日:2023-11-02

    申请号:US18344966

    申请日:2023-06-30

    Applicant: Google LLC

    CPC classification number: G06Q30/0277 G06Q50/01 G06Q30/0242

    Abstract: A computer-implemented method for annotating online content with offline interaction data and offline interaction conversion data is implemented by a content annotating computing device in communication with a memory. The method includes receiving a set of content interaction data based on an online interaction between an online user and a first online content item, identifying at least one physical location associated with the online content provider, determining a set of offline interaction conversion data based on the set of content interaction data and a set of offline interaction data, receiving a second online content item associated with the online content provider, and annotating the second online content item based at least partially on the set of offline interaction conversion data and the set of offline interaction data.

    Systems and methods for annotating online content with offline interaction data

    公开(公告)号:US10885560B1

    公开(公告)日:2021-01-05

    申请号:US15833902

    申请日:2017-12-06

    Applicant: Google LLC

    Abstract: A computer-implemented method for annotating online content with offline interaction data and offline interaction conversion data is implemented by a content annotating computing device in communication with a memory. The method includes receiving a set of content interaction data based on an online interaction between an online user and a first online content item, identifying at least one physical location associated with the online content provider, determining a set of offline interaction conversion data based on the set of content interaction data and a set of offline interaction data, receiving a second online content item associated with the online content provider, and annotating the second online content item based at least partially on the set of offline interaction conversion data and the set of offline interaction data.

    GENERATING BRIDGE MATCH IDENTIFIERS FOR LINKING IDENTIFERS FROM SERVER LOGS

    公开(公告)号:US20190158473A1

    公开(公告)日:2019-05-23

    申请号:US16216768

    申请日:2018-12-11

    Applicant: Google LLC

    Abstract: Systems and methods of matching identifiers between multiple datasets are described herein. A system can transmit a first identifier vector to a third party server. The first identifier vector can include a first identifier, first parameters, and second parameters. The system can receive, from the third party server, the first identifier vector encrypted based on a third-party encryption. The system can receive, from the third party server, a second identifier vector encrypted based on the third-party encryption associated with the third party server. The second identifier vector can include a second identifier, third parameters, and fourth parameters. The system can determine a correlation count between the first identifier vector and the second identifier vector. The system can determine that the first identifier corresponds to the second identifier based on the correlation count. The system can generate one identifier key for both the first identifier and the second identifier.

    GENERATING BRIDGE MATCH IDENTIFIERS FOR LINKING IDENTIFERS FROM SERVER LOGS

    公开(公告)号:US20220311754A1

    公开(公告)日:2022-09-29

    申请号:US17840588

    申请日:2022-06-14

    Applicant: GOOGLE LLC

    Abstract: Systems and methods of matching identifiers between multiple datasets are described herein. A system can transmit a first identifier vector to a third party server. The first identifier vector can include a first identifier, first parameters, and second parameters. The system can receive, from the third party server, the first identifier vector encrypted based on a third-party encryption. The system can receive, from the third party server, a second identifier vector encrypted based on the third-party encryption associated with the third party server. The second identifier vector can include a second identifier, third parameters, and fourth parameters. The system can determine a correlation count between the first identifier vector and the second identifier vector. The system can determine that the first identifier corresponds to the second identifier based on the correlation count. The system can generate one identifier key for both the first identifier and the second identifier.

    METHODS FOR AGGREGATING CREDIT ACROSS INTERACTIONS

    公开(公告)号:US20220147650A1

    公开(公告)日:2022-05-12

    申请号:US17285831

    申请日:2020-08-24

    Applicant: Google LLC

    Abstract: A method disclosed herein may include receiving, at a first computing system, encrypted identifiers and encrypted values, performing, by the first computing system, a concealing operation on the encrypted identifiers to produce concealed encrypted identifiers, wherein the concealing operation conceals the encrypted identifiers from the first computing system and a second computing system but enables matching between the concealed encrypted identifiers, decrypting, by the second computing system, the concealed encrypted identifiers to produce concealed identifiers, and performing, by the second computing system, an aggregation operation using the concealed identifiers and the encrypted values to produce an encrypted aggregate value without accessing personally identifiable information associated with the encrypted values.

    Generating bridge match identifiers for linking identifers from server logs

    公开(公告)号:US10652221B2

    公开(公告)日:2020-05-12

    申请号:US16216768

    申请日:2018-12-11

    Applicant: Google LLC

    Abstract: Systems and methods of matching identifiers between multiple datasets are described herein. A system can transmit a first identifier vector to a third party server. The first identifier vector can include a first identifier, first parameters, and second parameters. The system can receive, from the third party server, the first identifier vector encrypted based on a third-party encryption. The system can receive, from the third party server, a second identifier vector encrypted based on the third-party encryption associated with the third party server. The second identifier vector can include a second identifier, third parameters, and fourth parameters. The system can determine a correlation count between the first identifier vector and the second identifier vector. The system can determine that the first identifier corresponds to the second identifier based on the correlation count. The system can generate one identifier key for both the first identifier and the second identifier.

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