An information recommendation method and system

Abstract

The invention discloses an information recommendation method and system, wherein the method includes: collecting URLs and their corresponding labels, where the labels are texts marking webpage content, topics and / or forms; summarizing the collected data, To establish a database, the database includes the corresponding relationship between the website and the label and the label distribution information of the same website under each corresponding label; when receiving a request for information recommendation for a specified website, query all The label corresponding to the specified URL and the label distribution information of the specified website under each corresponding label; select the label according to the label distribution information, and send the user information to the user according to the other URLs corresponding to the selected label in the database URL recommendation. Through the present invention, the range of websites that are convenient for users to visit can be expanded, so that some website resources in the website list that have not been included can also obtain higher utilization ratios.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an information recommendation method and system. Background technique [0002] Internet users usually have a stable and continuous need to visit some websites for a period of time, and remembering URLs is not a small threshold for some users. Although the URLs of some sites are relatively short, once there are too many, it is difficult to remember them all. Under this premise, users often use the function of the URL list provided by the browser or the website, for example, favorites, or the URL list in the "fast track" similar to the URL navigation function, and so on. These URL lists usually allow users to establish and maintain them by themselves, so that users can add URLs of pages with long-term and stable access requirements to the URL list at any time, so that if there is a need for access in the future, they do not need to enter the URL in the browser address bar, bu...

AI Technical Summary

Problems solved by technology

[0003] Although the URL list can enable users to access the corresponding web pages without memorizing specific URLs, it will also limit the user's related access range to the URL list, and correspondingly, some web pages that are not included in the URL URL resources in the list cannot be effectively utilized

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