An intelligent advertising delivery system for online novel platforms

By designing an advertising intelligent delivery system on the online novel platform, using data collection and analysis to generate user feature data sets, accurate matching and intelligent delivery of advertisements are achieved, the problem of poor traditional advertising delivery is solved and the advertising conversion rate and user experience is improved.

CN119762164APending Publication Date: 2025-04-04HANGZHOU ZANXIANG INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202510273515.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-10
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

Traditional advertising delivery methods have problems with poor delivery effect and poor user experience on online novel platforms, making it difficult to achieve accurate delivery and improve advertising conversion rate.

Method used

Design an online novel platform advertising intelligent delivery system, including data collection module, data analysis module, advertising matching module and intelligent delivery module. By collecting and analyzing user data, generating user feature data sets, matching and serving personalized advertisements, intelligent delivery is achieved.

Benefits of technology

Through personalized advertising, the conversion rate of advertising is improved, the user experience is improved, the diverse needs of users are met, and the intelligent advertising is achieved.

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Abstract

The present invention discloses an intelligent delivery system for online novel platform advertisements, which relates to the field of advertisement delivery technology, and includes an online novel platform, a data collection module, a data analysis module, an advertisement matching module, and an intelligent delivery module. The data collection module concurrently collects various types of data of users on the online novel platform, as well as the user's customized preference data, to encapsulate and generate a file to be parsed for each user, the data analysis module generates a user feature data set for each user after processing the file to be parsed, the advertisement matching module matches the novel advertisement content suitable for each user from the online novel platform according to the user feature data set, and formulates a corresponding advertisement delivery strategy, and finally, the intelligent delivery module intelligently delivers the novel advertisement content matched by the user according to the advertisement delivery strategy.
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