User browsing behavior reporting method and device, readable storage medium and electronic equipment

Abstract

The invention relates to a user browsing behavior reporting method and device, a readable storage medium and electronic equipment. The method comprises the steps: traversing an information base to determine a target display area meeting reporting conditions at least according to display state records, recorded in the information base, of all display areas, wherein the reporting conditions at leastcomprise that part of the display areas are displayed; and in response to the determined target display area, reporting user browsing behavior information, the user browsing behavior information at least comprising target display data associated with the target display area. According to the method, the defect that the display data which is not truly seen by the user is reported to the server canbe effectively avoided, the accuracy of analyzing user preferences by the server is improved, the server can accurately perform personalized recommendation for the user, and the browsing experience of the user is improved. Moreover, the process of determining whether the display area meets the reporting condition by the terminal is independent of the browsing operation of the user on the page, sothat the process of determining the target display area meeting the reporting condition is simplified.

Description

technical field [0001] The present disclosure relates to the technical field of information processing, and in particular, relates to a method, device, readable storage medium, and electronic device for reporting user browsing behavior. Background technique [0002] At present, in order to improve user experience, when a user operates a terminal, an operating system in the terminal tracks the user's operation behavior and reports the user behavior information to the server. The server analyzes the user behavior according to the received user behavior information, so as to make personalized recommendations for the user. For example, a user browses a product list in a terminal to view information of different products. In order to recommend products that the user likes, it is necessary to statistically analyze which product information the user has viewed in the terminal, and determine the user's preference according to the viewed product information, and then recommend the p...

AI Technical Summary

Problems solved by technology

However, at this time, the user does not actually see the display data. If the terminal reports the display data that the user does not actually see to the server, the server will not be able to accurately identify the user's preferences, and thus cannot accurately provide the user with Personalized recommendations lead to poor browsing experience for users

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