Word bank-based matching recommendation method, electronic device and storage medium

Abstract

The invention relates to a data recommendation technology, and provides a word bank-based matching recommendation method, an electronic device and a storage medium. The method comprises the followingsteps: reading an object name and object attribute data from a preset database; converting the read object name and object attribute data into a vocabulary list and adding the vocabulary list into a predetermined word bank; performing word segmentation processing on the read object name; adding each word after word segmentation into a matched word set in a word bank; establishing a multi-level index table for words matched with the word set, and receiving a to-be-matched object name input by a user, performing word segmentation processing to obtain an initial word set, matching the initial word set with the multi-level index table to obtain a target object set matched with words in the initial word set, screening out objects from the target object set based on a plurality of preset screening conditions, and recommending the objects to the user. According to the method, the memory space required by the matching process can be reduced, the calculation time is shortened, and rapid fuzzy matching under a large-batch data scene is realized.

Description

technical field [0001] The invention relates to the field of data recommendation, in particular to a matching recommendation method based on a thesaurus, an electronic device and a storage medium. Background technique [0002] The commonly used method of fuzzy matching is keyword similarity matching. The fuzzy matching of object names (for example, company names) is to match the non-standard object names entered by users to the corresponding canonical object names. Due to the uncertainty of human input ( For example, writing the People's Bank of China as a bank) greatly increases the difficulty of matching. In addition, the matching technology based on keyword similarity usually scans the entire table of the database. When the amount of data reaches millions or tens of millions , the matching efficiency is low, and it takes up a lot of system memory. Contents of the invention [0003] In view of the above, the present invention provides a matching recommendation method ba...

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Problems solved by technology

[0003] In view of the above, the present invention provides a matching recommendation method based on a thesaurus, an electronic device and a storage medium, the purpose of which is to solve the problems of low fuzzy matching efficiency and large system memory occupation in the prior art

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