Content recommending method and device based on user characteristics

Abstract

The invention aims at providing a method and a device for judging relatedness degree of users and friends on the basis of behaviors of the users, wherein the method comprises the steps of: obtaining user access behaviors of the users on user equipment by a network device; according to the user access behaviors, classifying the users to obtain one or more user groups; determining information resources matched with the user group (s) according to the user group (s); and recommending the information resources to the user equipment of at least one user in the user group (s). Compared with the prior art, the invention realizes that the users in large range share more information resources by classifying on the basis of the user access behaviors and recommending the information resources matched with the user group (s) to the user group (s) obtained from the classification, thereby effectively promoting the transmission of the information and improving the use experience of users.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a technology for recommending content based on user characteristics. Background technique [0002] With the popularization and development of Internet technology and applications, the Internet has gradually integrated into people's daily life and has become an indispensable part. For example, people are becoming more and more accustomed to obtaining information, shopping, entertainment, and sharing information through the Internet. [0003] However, facing the extremely rich resources and services on the Internet, people are often unable to obtain the content they are really interested in in a timely and effective manner due to individual limitations in time, attention ability, and information acquisition ability, and fall into the trap of "the richer and the richer". , the more lacking" paradox. Although some shopping websites provide current customers with information such as...

AI Technical Summary

Problems solved by technology

[0003] However, facing the extremely rich resources and services on the Internet, people are often unable to obtain the content they are really interested in in a timely and effective manner due to individual limitations in time, attention ability, and information acquisition ability, and fall into the trap of "the richer and the richer". , the more lacking" paradox

Although some shopping websites provide current customers with information such as product recommendations or user reviews based on customer browsing records or purchase records for their reference, such methods have the disadvantages of less recommended content (often limited to the interior of the website) and a narrower range of users. (Only users who browse a product may be recommended relevant information) and other deficiencies, so it is impossible to share more information and content among a wide range of users

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