Method special for recommending machine account data of power equipment based on user portraits

Abstract

The invention provides a method special for recommending power equipment ledger data based on a user portrait, and the method comprises the steps: drawing the user portrait according to the operationbehaviors of a user and the ledger user information, and providing a self-optimization recommendation method for the power equipment ledger data through combining with the user portrait. The method comprises the following specific steps: firstly, encoding user information fields of power equipment ledger data, and performing initializing to form a real-time user portrait intermediate data table; secondly, formulating a keyword library, a synonym library and a power equipment information long name, and encoding the keyword library; and then obtaining a user behavior code and storing the user behavior code in a real-time user portrait intermediate data table sorting code field; obtaining a user search word and a keyword, starting a search operation to obtain a synonym and a keyword of the search word, and executing query in a database according to the search word, the synonym and the keyword to obtain a query result; obtaining a real-time power professional user portrait intermediate data table sorting code according to the ID of the query result data, and performing sorting recommendation according to the sorting code.

Description

technical field [0001] The invention relates to the technical information field of electrical equipment, in particular to a method for recommending account data dedicated to electrical equipment based on user portraits. Background technique [0002] Power equipment ledger data has extremely important engineering significance in power production. The control data, business data, and capital data related to power equipment are all gathered with the power equipment ledger data as the core. The nexus of business. Improving the search efficiency of power equipment ledger data is of great significance for improving the efficiency of various business operations of power equipment. [0003] At present, there is no search and recommendation method dedicated to power equipment ledger data. Power equipment ledger data is more professional, and users who use power equipment ledger data are also power professional users. Traditional e-commerce or operating system user portrait construc...

AI Technical Summary

Problems solved by technology

Power equipment ledger data is relatively professional, and users who use power equipment ledger data are also power professional users. Traditional e-commerce or operating system user portrait construction methods and user portraits cannot be applied to the search and recommendation of power equipment ledger data

[0004] There are many data fields in the power equipment ledger. In the traditional search method, only a single field is searched, which will make the front-end design complicated and bring great changes to users, and cannot be applied to the current power business scenario.

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