Method and system for intelligently matching and showing recommended information of web page according to product title

Abstract

The invention discloses a method and system for intelligently matching and showing recommended information of a web page according to a product title. The method comprises the following steps: first, extracting the product title on the web page; then, conducting Chinese word segmentation for the product title, matching with product words in a product word bank, and taking out the product words; obtaining the string length of the product words, and taking out the product word with the longest string length as a kernel keyword; finally, matching with information containing the kernel keyword as the recommended information from an information bank, and picking the recommended information onto a page showing interface to be showed. The method and the system can automatically match and show the recommended information of the web page only according to the product title on the page, so that the fact that technical staff manually set the recommended information backstage in the past is avoided. The operation is simple and convenient, the workload is greatly relieved, and the working efficiency is increased. In addition, when the production information in the information bank needs to be updated, as the method and the system automatically match the recommended information, the manual update of the technical staff is avoided, and the updating speed is increased.

Description

technical field [0001] The invention relates to a method and system for intelligently matching and displaying web page recommendation information according to product titles. Background technique [0002] Many B2B or B2C website pages have recommended information displayed to browsing users in a specific area. At present, there are two commonly used methods for displaying recommended information on website pages. The first method is determined based on user input information. Recommended information, this method can only match the recommended information displayed on the webpage according to the search information entered by the user. Even if the user browses different product pages on the website, as long as the user does not update the search information entered, the recommended information displayed on the webpage will not be updated. It will not change, the recommendation information is single, and the user experience is not good; the second method is that the technician...

AI Technical Summary

Problems solved by technology

[0002] Many B2B or B2C website pages have recommended information displayed to browsing users in a specific area. At present, there are two commonly used methods for displaying recommended information on website pages. The first method is determined based on user input information. Recommended information, this method can only match the recommended information displayed on the webpage according to the search information entered by the user. Even if the user browses different product pages on the website, as long as the user does not update the search information entered, the recommended information displayed on the webpage will not be updated. It will not change, the recommendation information is single, and the user experience is not good; the second method is that the technician manually sets the recommendation information in the background of the website. This method relies on the technician to manually set the recommendation information in the background of the website, and at the same time gives the hyperlink address. Large amount and low efficiency. When the recommendation information in the background is updated, it takes a long time to manually update the settings on each page, and it is difficult to update the recommendation information on the website page in an effective and timely manner.

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