Real-time recommendation method and system based on user browsing behaviors

Abstract

The invention discloses a real-time recommendation method based on a user browsing behavior, which belongs to the technical field of Internet application and comprises the following steps: judging thebrowsing behavior of a user, the browsing behavior comprising the sliding speed of a current page; If the sliding speed of the current page exceeds a preset value, replacing the page content to be displayed; If the sliding speed of the current page does not exceed the preset value, matching the page content of the current page with the page content to be displayed to obtain a matching result; Andwhen the matching result satisfies a replacement condition, replacing the page content to be displayed. According to the method provided by the embodiment of the invention, in the browsing process ofthe user, the user does not need to do any operation, the browsing behavior of the user is not influenced, and the page content to be displayed is replaced in real time according to the sliding speedand the historical behavior of the user, so that the page content more and more conforms to the psychological expectation of the user.

Description

technical field [0001] The invention belongs to the technical field of Internet applications, and in particular relates to a method and system for real-time recommendation based on user browsing behavior. Background technique [0002] The current recommendation system collects the user's historical browsing records and performs calculations in the background according to the historical browsing records, so as to actively recommend information that can meet the user's interests and needs. However, in the above-mentioned recommendation system, there is a lag in the recommendation results, which may require the user to exit the page (or process) and come back, or may require a certain period of data collection before the recommendation can be made, and real-time recommendation cannot be achieved. Due to the current explosive expansion of information, people will have higher and higher requirements for the timeliness of information. Therefore, if the system cannot release and pr...

AI Technical Summary

Problems solved by technology

However, in the above-mentioned recommendation system, there is a lag in the recommendation results. It may be necessary for the user to exit the page (or process) and come back, or it may take a certain period of data collection before the recommendation can be made, and real-time recommendation cannot be achieved.

Due to the current explosive expansion of information, people will have higher and higher requirements for the timeliness of information. Therefore, if the system cannot release and provide the information that users need in a timely manner, users will feel that the system cannot meet their needs.

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