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1.
公开(公告)号:US20190042919A1
公开(公告)日:2019-02-07
申请号:US15668391
申请日:2017-08-03
Applicant: Facebook, Inc.
Inventor: Alexander Peysakhovich , Michael Randolph Corey , Neha Bhargava , Hannah Siow Pavalow
Abstract: Systems, methods, and non-transitory computer readable media can determine a representation of an advertisement based on a first machine learning model. The representation can be provided to a second machine learning model. One or more qualitative ratings associated with the advertisement can be determined based on the second machine learning model.
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公开(公告)号:US11190338B1
公开(公告)日:2021-11-30
申请号:US16012687
申请日:2018-06-19
Applicant: Facebook, Inc.
Inventor: Michael Randolph Corey , Daniel K. Chapsky , Erik Taubeneck , Ionela-Roxana Danila , Yu-Yu Lin
Abstract: An online system receives impression data from one or more content publishers. The impression data describes impressions provided to users of the online system on behalf of an agent. The online system selects a randomly selected number of impressions in the received impression data. The online system generates an impressions block by encrypting impression data that describes the selected set of impressions using a unique cypher, and adds the impressions block to a blockchain. The online system further generates a cypher block by encrypting the cypher and an identifier of the impressions block to which the cypher applies using a public key provided by the agent to the online system. The online system adds the cypher block to the blockchain. The agent can recover the cypher from the cypher block based on a private key, and the agent can then recover the impression data using the recovered cypher.
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公开(公告)号:US11100533B1
公开(公告)日:2021-08-24
申请号:US16132347
申请日:2018-09-14
Applicant: Facebook, Inc.
Inventor: Erik Taubeneck , Michael Randolph Corey , Frederick R. Leach , Daniel K. Chapsky
Abstract: The disclosed computer-implemented method may include (1) accessing, by a computing device and from a record stored in an immutable distributed ledger, information describing characteristics of a target audience, (2) ascertaining a target audience member identifier of a target audience member by matching information describing characteristics of the target audience member with the information describing characteristics of the target audience, (3) generating a unique and encrypted secure identifier linking an advertiser identifier to the target audience member identifier, and (4) committing the secure identifier to the immutable distributed ledger as an update transaction to the record. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号:US10855475B1
公开(公告)日:2020-12-01
申请号:US16123480
申请日:2018-09-06
Applicant: Facebook, Inc.
Inventor: Frederick R. Leach , Michael Randolph Corey , Erik Taubeneck , Daniel K. Chapsky
Abstract: The disclosed computer-implemented method for securing data on blockchains may include receiving a smart contract from a third-party for a designated party and a data set, transmitting, to a network of nodes, a request to add the smart contract and the data set to an immutable distributed ledger, receiving a digital signature from the third-party, receiving a digital signature from the designated party, validating the smart contract, the digital signature from the third-party, and the digital signature from the designated party, and in response to validating the smart contract, the digital signature from the third-party and the digital signature from the designated party, adding the smart contract and the data set to the immutable distributed ledger. Various other methods, systems, and computer-readable media are also disclosed.
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5.
公开(公告)号:US20190043075A1
公开(公告)日:2019-02-07
申请号:US15668497
申请日:2017-08-03
Applicant: Facebook, Inc.
Inventor: Alexander Peysakhovich , Michael Randolph Corey
Abstract: Systems, methods, and non-transitory computer readable media can obtain an advertisement via a user interface associated with an application. One or more qualitative ratings associated with the advertisement can be predicted based on a machine learning model. One or more recommendations for improving the qualitative ratings associated with the advertisement can be provided, via the user interface, based at least in part on one or more advertisements that are visually similar to the advertisement.
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6.
公开(公告)号:US20190043074A1
公开(公告)日:2019-02-07
申请号:US15668447
申请日:2017-08-03
Applicant: Facebook, Inc.
Inventor: Alexander Peysakhovich , Michael Randolph Corey , Hannah Siow Pavalow
Abstract: Systems, methods, and non-transitory computer readable media can predict one or more qualitative ratings associated with an advertisement based on a machine learning model. One or more advertisements that are visually similar to the advertisement can be identified. At least one difference between the advertisement and the one or more advertisements can be determined. A recommendation for improving the one or more qualitative ratings associated with the advertisement can be provided based on the at least one difference.
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7.
公开(公告)号:US11170288B2
公开(公告)日:2021-11-09
申请号:US15668391
申请日:2017-08-03
Applicant: Facebook, Inc.
Inventor: Alexander Peysakhovich , Michael Randolph Corey , Neha Bhargava , Hannah Siow Pavalow
Abstract: Systems, methods, and non-transitory computer readable media can determine a representation of an advertisement based on a first machine learning model. The representation can be provided to a second machine learning model. One or more qualitative ratings associated with the advertisement can be determined based on the second machine learning model.
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公开(公告)号:US20190043073A1
公开(公告)日:2019-02-07
申请号:US15668429
申请日:2017-08-03
Applicant: Facebook, Inc.
Inventor: Alexander Peysakhovich , Michael Randolph Corey
Abstract: Systems, methods, and non-transitory computer readable media can determine qualitative ratings associated with a plurality of advertisements based on a machine learning model. One or more clusters of the plurality of advertisements can be generated based on representations of the plurality of advertisements. One or more advertisements visually similar to an advertisement can be identified based at least in part on a cluster of the one or more clusters and qualitative ratings of advertisements in the cluster.
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