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US Patent 11636169 Adaptive data collection optimization

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116361690
Date of Patent
April 25, 2023
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Patent Application Number
178236600
Date Filed
August 31, 2022
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Patent Citations
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US Patent 10334016 System and method for context specific website optimization
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US Patent 10614452 Systems and methods for providing risk based decisioning service to a merchant
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US Patent 10735322 Accelerating HTTP responses in a client/server environment
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US Patent 10965770 Dynamic optimization of request parameters for proxy server
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US Patent 10756995 Method, apparatus and system for real-time optimization of computer-implemented application operations using machine learning techniques
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US Patent 10990940 Server validation of website scraped data
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US Patent 10061300 Methods and apparatus for machine learning predictions and multi-objective optimization of manufacturing processes
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US Patent 10127605 Method and server for processing item identifiers, and computer readable storage medium
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Patent Primary Examiner
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Huawen A Peng
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CPC Code
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G06F 16/955
0

Systems and methods to intelligently optimize data collection requests are disclosed. In one embodiment, systems are configured to identify and select a complete set of suitable parameters to execute the data collection requests. In another embodiment, systems are configured to identify and select a partial set of suitable parameters to execute the data collection requests. The present embodiments can implement machine learning algorithms to identify and select the suitable parameters according to the nature of the data collection requests and the targets. Moreover, the embodiments provide systems and methods to generate feedback data based upon the effectiveness of the data collection parameters. Furthermore, the embodiments provide systems and methods to score the set of suitable parameters based on the feedback data and the overall cost, which are then stored in an internal database.

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