Method and system for optimizing electronic commerce commodity searching

Abstract

The invention provides a system for optimizing electronic commerce commodity searching. The system comprises a front end processing module, a back end processing module, a commodity entity word bank, an attribute searching domain, an entity searching domain, a grading module and a commodity information bank, wherein the front end processing module calls the commodity entity word bank to perform data processing on product searching information; the back end processing module calls the commodity entity word bank to perform data processing on the existing commodity information in an electronic commerce website; an entity searching domain and an attribute searching domain based on all commodities in the electronic commerce website can be formed after the processing by the back end processing module; the commodity information bank refers to a data source of the commerce commodity searching, and is used for storing the commodity description data of the existing product on the website; the commodity description data is provided and maintained by a merchant; the grading module calculates the corresponding matching score according to the information matching condition of the front end processing module and the back end processing module; the hitting score of a product searching word in the searching domains is counted; and the searching results are sorted and output.

Description

technical field [0001] The invention belongs to the field of e-commerce search, in particular to commodity search technology, in particular to a method and system for optimizing e-commerce commodity search. Background technique [0002] In the e-commerce environment, product search is a frequently used tool, through which product sellers promote their products to users, and users use it to quickly find the products they need. With the rapid growth of product types and quantities, in the face of countless and inaccurate product information, product search tools sometimes give unsatisfactory search results. For example, when a user enters two keywords, the product description that may be searched It does contain these two keywords, but the problem is that this product is not what users want. [0003] The realization principle of the traditional product search method is to completely match the search term with the product information. Through word segmentation, the descriptio...

AI Technical Summary

Problems solved by technology

[0006] (2) The quality of product information reduces the accuracy of search results

Product information on e-commerce websites is generally published and maintained by merchants. In order to make their products quickly searchable, they will add a lot of words that do not match or are not related to the product when describing the product. The quality of product information varies. The unevenness restricts the realization of accurate recall by traditional search methods, and it is easy to lead to "because the product information contains search terms, even unnecessary information will be recalled" or "because the product information does not contain search terms, it is obviously the information that users need Phenomena such as "cannot be recalled" occur frequently

Images