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WORD LIBRARY-BASED MATCHING RECOMMENDATION METHOD, APPARATUS, DEVICE, AND STORAGE MEDIUM

机译:基于文字库的匹配推荐方法,装置,设备和存储介质

摘要

A word library-based matching recommendation method, an apparatus, a device, and a storage medium. The method comprises: reading an object name and object attribute data from a preset database, and converting the read object name and object attribute data into a vocabulary list and adding same into a predetermined word library; performing word segmentation processing on the read object name, adding each word after word segmentation to a word set matched in the word library, and establishing a multi-level index table for the words matched with the word set; receiving an object name to be matched input by a user, and then 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 matching the words in the initial word set; and screening objects from the target object set on the basis of a plurality of preset screening conditions, and recommending same to the user. A memory space required by the matching process can be reduced, the calculation time is shortened, and fast fuzzy matching under a bulk data scene is realized.
机译:基于词库的匹配推荐方法,装置,设备和存储介质。该方法包括:从预设数据库读取对象名称和对象属性数据,并将读取对象名称和对象属性数据转换为词汇列表并将其添加到预定的单词库中;在读取对象名称上执行Word分段处理,将单词分段添加到Word库中匹配的单词分段后添加每个单词,并为与单词集匹配的单词建立多级索引表;接收要由用户匹配的对象名称,然后执行Word分段处理以获取初始字集;将初始单词设置与多级索引表匹配以获取与初始单词集中的单词匹配的目标对象集;并根据多个预设筛选条件,从目标对象筛选对象,并将其推荐给用户。可以减少匹配过程所需的存储空间,缩短计算时间,实现了大量数据场景下的快速模糊匹配。

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