Website information recommendation data processing method and system

Abstract

The invention provides a method for processing recommendation data of website information. The method includes acquiring operation of a recommender for recommending the website information and recording information of the recommender in a user record of received recommendation; determining a recommendation link of the website information according to the information of the recommender in the user record; and counting the recommendation data in the website information according to user information of various users in the recommendation link. The invention further provides a system for processing the recommendation data of the website information. The system is used for implementing the method. The method and the system for processing the recommendation data of the website information have the advantages that the recommendation data of the website information can be counted, and the statistical accuracy of the data is guaranteed.

Description

technical field [0001] The present application relates to the technical field of computer network data, in particular to a method and system for processing website information recommendation data. Background technique [0002] With the continuous development of technology, social networking has gradually become a new way of social networking, and social networking has developed from the initial email to various social networking sites (SNS, Social Network Sites). Usually, a social networking site requires a user to apply for registration on a corresponding website and fill in relevant personal information to obtain a personal account. When a user logs in to a social networking site, the personal account and related information become the main identifier for the site or others to identify the user. [0003] In order to promote information on social networking sites, social networking sites always hope that users can recommend the information of the sites they visit to other ...

AI Technical Summary

Problems solved by technology

However, this recommendation method is limited to mutual recommendation between two people. If the product is recommended through multiple levels, only the recommendation information between the last two people can be obtained.

When the website is doing follow-up work, for example, when you want to collect statistics on the recommended data of all website information to obtain relevant information, you need to find a large amount of data and increase the time for statistics. Moreover, because the information records are incomplete, the statistical data will also There is an error

Images