A method and device for information matching processing

Abstract

Disclosed is an information matching processing method. The method comprises: acquiring various search key words and various pieces of product information, and search key word and product information feature pairs being constituted of the various search key words and the various pieces of product information in pairs (S101); calculating the correlation of each of the search key word and product information feature pairs, and determining a correlation level of each of the search key word and product information feature pairs according to a correlation calculation result (S102); calculating a pre-estimated click rate of each of the search key word and product information feature pairs, and determining a pre-estimated click rate level corresponding to the pre-estimated click rate of each of the search key word and product information feature pairs by using a quantile (S103); and according to the correlation level and the pre-estimated click rate level, determining a score of each of the search key word and product information feature pairs, the score being used for characterizing a matching degree between the search key word and the product information (S104).

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to an information matching processing method and device. Background technique [0002] With the development of computer and Internet technology, e-commerce websites have developed rapidly. There are usually massive amounts of data or products stored in e-commerce websites. In order to improve the efficiency of users searching for products of interest, the website server often recommends products matching the search words to users according to the search words entered by users. Among the products recommended to users that match the search terms, some products that are highly matched to the search terms, have good quality and have been advertised are often recommended to users in priority. In order to increase product sales, sellers often choose high-quality products for advertising and promotion. When the seller conducts advertising and promotion, he needs to purcha...

AI Technical Summary

Problems solved by technology

[0005] However, this method in the prior art only considers the correlation between the search term and the advertised product, but does not consider the degree to which the advertised product is preferred by the user, so the matching calculated from this is not accurate

Inaccurate matching calculation results not only lead to sellers failing to effectively promote their products, but also cause the products recommended by the website to buyers and users to not exactly match their needs and interests. Buyers have to search repeatedly to obtain their real products. Interested products, thus increasing the data interaction between the user's client and the server, increasing the data processing load of the server, reducing the processing performance of the server, and seriously occupying precious Internet bandwidth resources

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