公开(公告)号：US20210350016A1

公开(公告)日：2021-11-11

申请号：US16871724

申请日：2020-05-11

Applicant: Amazon Technologies, Inc.

Inventor： Himangshu Ranjan Borah ,  Rohan Gurappagouda Patil ,  Pedro Henrique Almeida Tanaka ,  Michael Arthur Ten-Pow ,  Han Wu

IPC: G06F21/62 ,  H04L9/06 ,  H04L29/06 ,  G06F16/9532 ,  G06N20/00 ,  G06N5/04

Abstract: Data security and privacy are improved by a client providing a hashed version of collected data to a remote analysis service, and having the analysis service determine the relevancy of the data from the hashes before requesting the plaintext of the data. In one example, a browser plug-in obtains data which is divided into overlapping three-character sequences, and the sequences are hashed to produce a sequence of hashes. The sequence of hashes is sent by the plug-in to the remote service, which uses the hashes to determine if the associated data is relevant to the analysis performed by the remote service, without requiring access to the associated plaintext. After making the determination, the remote service may request that relevant data be provided to the service in plaintext form, while data that is not relevant need not be sent to the remote service.

公开(公告)号：US11580246B2

公开(公告)日：2023-02-14

申请号：US16871724

申请日：2020-05-11

Applicant: Amazon Technologies, Inc.

Inventor： Himangshu Ranjan Borah ,  Rohan Gurappagouda Patil ,  Pedro Henrique Almeida Tanaka ,  Michael Arthur Ten-Pow ,  Han Wu

IPC: G06N3/08 ,  H04L67/02 ,  G06F21/62 ,  G06F16/9532 ,  G06N20/00 ,  G06N5/04 ,  H04L9/06 ,  H04L9/40 ,  G06F9/445

Abstract: Data security and privacy are improved by a client providing a hashed version of collected data to a remote analysis service, and having the analysis service determine the relevancy of the data from the hashes before requesting the plaintext of the data. In one example, a browser plug-in obtains data which is divided into overlapping three-character sequences, and the sequences are hashed to produce a sequence of hashes. The sequence of hashes is sent by the plug-in to the remote service, which uses the hashes to determine if the associated data is relevant to the analysis performed by the remote service, without requiring access to the associated plaintext. After making the determination, the remote service may request that relevant data be provided to the service in plaintext form, while data that is not relevant need not be sent to the remote service.

公开(公告)号：US11861688B1

公开(公告)日：2024-01-02

申请号：US16539871

申请日：2019-08-13

Applicant: Amazon Technologies, Inc.

Inventor： Rohit Gupta ,  Ayman Omar Farahat ,  Han Wu ,  Pragyana K. Mishra ,  Rohan Gurappagouda Patil ,  Douglas Wong

IPC: G06Q30/08 ,  G06F16/2453 ,  G06F16/2457

CPC classification number: G06Q30/08 ,  G06F16/2453 ,  G06F16/24578

Abstract: Bid values submitted for various keywords can take into account the recovery propensity between paid search and organic search. When submitting a bid to a search engine provider for a keyword, an entity may get a certain level of performance in return. If not submitting a bid, however, the entity will likely still get some level of performance, although likely less than for paid search. In order to optimize for a parameter such as impressions, purchases, or profit, the recovery propensity can be taken into account in order to adjust the bid price, taking into account the relative performance of paid and organic search and then optimizing for the determined goal. Organic search data in some embodiments can be obtained through testing or modeling, or a combination thereof.

公开(公告)号：US11410203B1

公开(公告)日：2022-08-09

申请号：US17089576

申请日：2020-11-04

Applicant: Amazon Technologies, Inc.

Inventor： Ehtesham Sam Haque ,  Han Wu ,  Kimberly Michele Wike ,  Rohan Gurappagouda Patil ,  Purak Jain

IPC: G06Q30/02 ,  G06Q30/08 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q30/00 ,  G06F16/9538 ,  G06N20/00 ,  G06F3/0482

Abstract: Methods, systems, and computer-readable media for optimized management of online advertising auctions are disclosed. An auction management system sends bids for one or more bidding units (e.g., keywords or product identifiers) to an advertising vendor. A bid comprises a value per click associated with one or more search results pages or web pages for one or more search terms. At least a portion of the bids represent winning bids in one or more auctions for the one or more bidding units. The system determines success metrics associated with the bids based (at least in part) on user traffic for links associated with the winning bids. The system determines an optimal bid for a particular bidding unit based (at least in part) on the success metrics. The system sends the optimal bid for the particular bidding unit to the advertising vendor for an additional auction.