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

An e-commerce and e-commerce platform technology, which is applied in the query block technology to improve query efficiency, evaluation and score calculation, and can solve the problems that e-commerce search cannot play a vital role.

Active Publication Date: 2017-02-22
FOCUS TECH
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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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  • A method and system for e-commerce search scoring and ranking
  • A method and system for e-commerce search scoring and ranking
  • A method and system for e-commerce search scoring and ranking

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Embodiment Construction

[0094] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0095] The present embodiment discloses a scoring and ranking method for an e-commerce search engine, including:

[0096] 1. Build a keyword thesaurus of products on the e-commerce platform.

[0097] (1) Select a data source and conduct statistics on keyword usage;

[0098] Take the search log as the data source, select the search keywords used by users in a period of time, de-duplicate the search keywords of each user every day, and then count the daily user usage of each search keyword. The daily user usage of the search keywords in a period of time is accumulated, and the user usage of the search keywords in a period of time is counted.

[0099] The commodity information in the e-commerce platform contains commodity keywords, select these commodity keywords as the data source, and de-duplicate the commodity keywords of the same sup...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06Q30/06
CPCG06F16/951
Inventor 李仁勇殷亚云
Owner FOCUS TECH
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