Method and equipment for recommending content of Internet based on user browse behavior

Abstract

The invention aims to provide a method and equipment for recommending the content of Internet based on a user browse behavior. The method comprises the following steps of: acquiring the user browse behavior of a user made through user equipment by network equipment; acquiring a browse object corresponding to the user browse behavior according to the user browse behavior; acquiring one or more pieces of recommendation information matched with the user browse behavior according to the browse object; and providing one or more pieces of recommendation information for the user equipment. Compared with the prior art, the method has the advantages that: the content of the Internet is recommended based on the user browse behavior, so the abundant information contents with high degree of correlation are provided for the user, so that the searching and browsing experience of the user is improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a technology for recommending Internet content based on user browsing behavior. Background technique [0002] With the popularization and promotion of Internet applications and their penetration into people's lives, more and more users are getting used to obtaining the information, services, shopping, interaction and other resources they need from the Internet. [0003] However, with the further development of computer technologies such as human-computer interaction, people have shifted from actively obtaining resources to relying on the Internet to actively provide needed resources. For example, when users browse some web content, they often hope to see related content in their hearts, but it is difficult to accurately express such browsing needs, unless this demand is very strong, it may be possible through search To further collect information, but there are two problems...

AI Technical Summary

Problems solved by technology

For example, when users browse some web content, they often hope to see related content in their hearts, but it is difficult to accurately express such browsing needs, unless this demand is very strong, it may be possible through search To further collect information, but there are two problems: this kind of demand needs to be transformed into interactive operation, and the cost is very high, unless the user's desire is very strong; this kind of pan-search demand is often difficult to describe clearly with keywords

In view of this, some websites have begun to provide content recommendations on the site, but the defect of this form is not only that the data is only based on a single site, and the amount of information is often not enough, but also that relevant content is only provided based on specific web pages, while ignoring the needs of users. Browsing interaction, which greatly affects the user experience

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