Alibaba has filed a patent for a data processing method that involves determining a target function for parameter optimization requests. The method includes performing parameter tests and determining whether the tests meet a reduction condition. If the condition is met, the test is stopped, and if not, the test continues to obtain a result. The patent also includes a claim for a computing device with the necessary components to execute these operations. GlobalData’s report on Alibaba Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Alibaba Group, blockchain-based property authentication was a key innovation area identified from patents. Alibaba Group's grant share as of September 2023 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Data processing method for parameter optimization in computing devices
A recently filed patent (Publication Number: US20230315618A1) describes a computing device that is capable of performing parameter optimization. The device includes a memory to store computer instructions and one or more processors to execute these instructions. The operations performed by the device involve determining a target function in response to a parameter optimization request. The device then performs a parameter test on a candidate parameter using the target function and determines whether the test meets a reduction condition. If the test meets the condition, the parameter test is stopped. If the test fails to meet the condition, the parameter test continues until a test result is obtained.
The patent also describes the use of test reduction algorithms to determine whether the parameter test meets the reduction condition. These algorithms are selected based on matching test information with the parameter test. The test information includes parameters such as test type and test stage. The device can also include a self-defined reduction algorithm set by a user, which can be used as a target reduction algorithm.
In addition to parameter optimization, the device can also determine a target parameter that meets an optimal parameter condition based on the test results of candidate parameters. This can be useful in various scenarios, such as processing a target resource or generating visit recommendation information for a user.
Another aspect of the patent describes a computing device that receives a determination request for determining whether a parameter test meets a reduction condition. This request is initiated by another computing device and the device determines the reduction condition based on the request. If the condition is met, the parameter test is stopped, otherwise, it continues until a test result is obtained.
Overall, this patent describes a computing device that is capable of performing parameter optimization and determining whether a parameter test meets a reduction condition. The device utilizes various algorithms and test information to achieve these tasks.
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