A method and system for e-commerce search scoring and ranking

Abstract

The invention provides an e-commerce search scoring and ranking method. The method includes the steps of 1 building a keyword lexicon of e-commerce platform commodities, 2 calculating net scores of significance factors of the commodities, 3 extracting attribute information in the commodities and storing the attribute information into indexes, 4 building series query blocks according to relevance and significance, 5 selecting corresponding search results according to paging parameters and conducting ranking. According to the e-commerce search scoring and ranking method, according to the characteristics of e-commerce search, central keywords of the commodities are recognized, and preferential matching is executed during query; after query and search keywords input by a user are received, semantic analysis is conducted, and query statements of different relevance and significance are built due to the fact that query domains are different and indexes such as commodity page view are different. When the user searches for commodities, different queries are executed according to difference of query relevance and significance, and therefore search results are returned rapidly.

Description

technical field [0001] The present application relates to the technical field of search engines, in particular to the evaluation of ranking factors of e-commerce search engines and the calculation of scores, and a method for improving query efficiency through query block technology. Background technique [0002] With the rapid development of e-commerce, the number of commodities on the e-commerce platform has increased sharply. If buyers want to find the desired commodities from the massive information, they must rely on a high-accuracy search system. [0003] Under normal circumstances, e-commerce search engines have many ranking factors and complex query sentences. If the global calculation is based on a large amount of data, the ranking process will be very resource-intensive and the response time will be slow. Moreover, due to the large number of ranking factors, the score calculation standards are not uniform. One consequence of this complex calculation of ranking facto...

AI Technical Summary

Problems solved by technology

[0016] However, in e-commerce search engine rankings, since a large number of factors with high weight are involved, its ranking does not depend entirely on the number of keywords contained in the product, but also includes the degree of perfection of product information, online time, product click-through rate and inquiry rate. Factors such as disk conversion rate, TF and IDF scores of keywords have become a very secondary reference factor, which cannot play a vital role in e-commerce search

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