A feature generation method and system

Abstract

The invention relates to the technical field of internets, and in particular to a characteristics generation method and a characteristics generation system, and is used for solving the problems of insufficient big data processing capacity and relatively low evaluation efficiency when adaptation evaluation for a lot of newly generated characteristics is carried out. In the embodiment, the whole iterative process comprises an initialization task executed by a selected sub-node, adaptation evaluation tasks of each generation which are concurrently executed by a plurality of sub-nodes, an iterative task executed by the selected sub-node, and an output task which is executed after all of the adaptation evaluation tasks are completely executed; and a major node is responsible for coordinated scheduling of the whole iterative process. Since the adaptation evaluation tasks of each generation can be executed by the plurality of sub-nodes, the efficiency of the whole characteristics generation process is improved; and the major node indicates a characteristics expression needing to be evaluated for the sub-nodes which execute the adaptation evaluation tasks in the form of encoding individuals, therefore, the data transmission amount can be reduced.

Description

technical field [0001] The present application relates to the technical field of the Internet, and in particular to a feature generation method and system. Background technique [0002] With the development of Internet information technology, more and more types of business services are provided to users through the Internet. How to better provide business services to users is an important issue in the Internet industry. Model classification can effectively improve the business service level. For example, classify the income level of users, and divide the income level of users into three categories: high, medium and low, and provide users with different information recommendations based on different categories of user income levels Serve. [0003] When classifying based on the model, multiple features need to be input, and a good feature set can effectively improve the accuracy of model classification. In many cases, the amount of information contained in a single feature ...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a feature generation method and system to solve the problems of insufficient large data processing capacity and low evaluation efficiency when evaluating the fitness of a large number of newly generated features, and also provides an effective way to obtain Feature Generation Algorithms for High-Value New Features

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