Method and device for searching target commodity set

Abstract

The invention discloses a method and a device for searching a target commodity set. The method comprises the steps of performing word segmentation for to-be-searched commodity information based on multiple known dictionary libraries so as to obtain multiple target keywords, wherein each dictionary library stores a single category of keywords and corresponds to one dictionary category; when the dictionary category included in a known template is contained in the multiple dictionary categories which correspond to the multiple target keywords, determining that the known template is an appointed template and determining that the appointed template includes an appointed dictionary library corresponding to the dictionary category; regarding a portion of the multiple target keywords which matches with the keywords in the appointed dictionary library as template words; and searching commodity information with same keywords and template words in a commodity library to obtain a first search result, wherein the commodity information of each commodity in the commodity library is subjected to word segmentation and multiple corresponding keywords are obtained. According to the scheme, the accuracy of positioning a target commodity can be improved.

Description

technical field [0001] The invention relates to the field of Internet crawlers, in particular to a method and device for searching a target commodity collection. Background technique [0002] In recent years, with the increasing number of e-commerce and micro-business websites, the commodity data on the Internet has also grown exponentially. Therefore, in order to find the specific information of a target commodity, it is necessary to enter the known commodity information, and then according to the The known commodity information is searched and located from the massive commodity library. For example, in order to buy a certain product, consumers can provide known product information, and the search engine searches and locates the information related to the product information in the massive data according to the product information, and the consumer can browse the search engine feedback again. For example, select products with better price from the feedback product set, or ...

AI Technical Summary

Problems solved by technology

However, in the prior art, it is relatively easy to search and locate products of the target category, but for searching and locating other types of products, the accuracy of the search results is low. of product items, the accuracy of search targeting is low

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