Fine granularity-oriented algorithm component operation method

Abstract

The invention discloses a fine granularity-oriented algorithm component operation method. The method comprises the following steps of S1, creating a channel thread for performing information exchange management on a fine granularity algorithm; s2, creating an independent branch thread for operation of each fine granularity algorithm in the thread pool, and monitoring a channel; s3, writing the business algorithm definition information into the channel by a channel thread; s4, allowing branch threads of the fine granularity algorithms to obtain information in the channels, judging whether the information is processed by the branch threads or not through a specific optimization algorithm, and writing processed results into the channel thread; s5,allowing the channel thread to judge whether operation ending logic information is received or not; and S6, ending the operation of the algorithm logic, and outputting a result by the channel. According to the method, the parameter information and the operation result of each fine granularity algorithm are put into a channel, an information exchange channel is provided, each algorithm completes the operation of the whole algorithm according to a specific logic under the control of a channel thread, the configuration time of the algorithm is greatly shortened, and the algorithm configuration efficiency is improved.

Description

technical field [0001] The invention belongs to the field of algorithm operation or the field of personnel data processing, in particular to a fine-grained algorithm component operation method. Background technique [0002] After many years of application of the personnel information management system in various enterprises, a complete data collection has been formed from structured data and unstructured data, including various evaluation data, report documents, and behavior data in the system. Through these data, the evaluation and characteristics of the characters can be obtained from many aspects. Based on the existing natural language processing theory and technology, automatic extraction from document to text and from text to label can be realized. Through the development of specific algorithms, the machine can analyze the properties of some natural sentences. [0003] However, with different application scenarios, in order to adapt to different result requirements, e...

AI Technical Summary

Problems solved by technology

In the process of algorithm configuration optimization, the current technology is generally manually configured manually, and the algorithm parameters and operating environment are dynamically modified according to the operation results, which will cause unnecessary waste of manpower and computing resources.

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