A method and system for real-time collection of characteristic samples

A real-time collection and sample technology, applied in the field of machine learning, can solve the problems of low offline production efficiency, complex production, low accuracy, etc., and achieve the effect of solving the low offline production efficiency and improving the effect of online training.

Active Publication Date: 2021-11-02
北京华品博睿网络技术有限公司
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Problems solved by technology

[0003] The purpose of the present invention is to provide a method and system for real-time collection of feature samples, which can not only well support the real-time collection of feature samples to improve the online training effect of the model, but also solve the problems of low offline production efficiency, complicated production and low accuracy of feature samples. question

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  • A method and system for real-time collection of characteristic samples

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0032] It should be noted that if there is a directional indication (such as up, down, left, right, front, back...) in the embodiment of the present invention, the directional indication is only used to explain the position in a certain posture (as shown in the accompanying drawing). If the specific posture changes, the directional indication will also change accordingly.

[0033] In addition, in describing the present invention, the terms used are for the purpose ...

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Abstract

The embodiment of the present invention discloses a real-time collection method of characteristic samples, including: when the sample production node monitors the result message of the model result message system, the sample production node obtains the characteristic sample from the distributed configuration system according to the session ID of the result message The required metadata, and obtain all the features required by the feature sample from the feature library, construct cache samples according to the metadata and all features and store them in the storage system; each real-time behavior collection node monitors the user behavior message system, when the real-time behavior collection node When listening to the behavior message of the user behavior message system, the real-time behavior collection node obtains the cache sample from the cache system according to the session ID of the behavior message, and produces a sample tag, integrates the sample tag and the cache sample into a feature sample and stores it in the feature sample in the storage system. The embodiment of the invention also discloses a real-time collection system for characteristic samples. The invention can well support the real-time collection of characteristic samples.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a method and system for real-time collection of feature samples. Background technique [0002] Feature sample collection is an important part of machine learning model training, and the quality of data determines the effect of the algorithm model. In recommender system-related technologies, samples are mostly obtained through off-line calculations. The production efficiency of samples in this way is low, the production of samples is complicated, and the accuracy of the obtained samples is also low. Contents of the invention [0003] The purpose of the present invention is to provide a method and system for real-time collection of feature samples, which can not only well support the real-time collection of feature samples to improve the online training effect of the model, but also solve the problems of low offline production efficiency, complicated production and low a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2457G06F16/2455
CPCG06F16/24552G06F16/24573
Inventor 张险全薛延波赵鹏
Owner 北京华品博睿网络技术有限公司
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