Digital Reader Fullscreen Recommendations Based on Text Features
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Solution Overview
Problem
The presentation frequency of recommendation information in book content often disrupts the normal presentation of content and user reading experience.
Innovation Solution
A method and apparatus for presenting recommendation information in a full screen mode based on text feature information, such as plot importance, position in the book, and reading duration, to control the frequency and reduce disruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If recommendation information is frequently presented in book content, then exposure rate and click rate of recommendation information improve, but user reading experience deteriorates
Solution Approach 1:
The patent applies local quality by making different parts of the book content have different recommendation presentation characteristics. Specifically, chapters identified as having lower plot importance receive full-screen recommendation presentations, while chapters with high plot importance maintain normal reading flow without full-screen interruptions. This localized differentiation allows recommendation information to be effectively presented in appropriate sections while preserving reading experience in critical narrative sections.
Solution Approach 2:
The patent implements dynamics by making the recommendation presentation mode adaptive rather than static. The system dynamically adjusts whether to present full-screen recommendations based on real-time analysis of plot importance and chapter position. This dynamic adaptation allows the recommendation frequency and mode to change according to the specific context of each chapter, optimizing both exposure rate and reading experience.
2Productivity
If full screen mode is used for recommendation information, then click rate improves, but disruption to normal content presentation increases
Solution Approach 1:
The patent applies local quality by restricting full-screen recommendation mode to specific chapters identified as having lower plot importance. In these chapters, full-screen recommendations are appropriate and do not significantly disrupt the reading experience. In chapters with high plot importance, the system avoids full-screen mode entirely, thereby preventing disruption to critical narrative content while still maintaining recommendation opportunities in less critical sections.
Solution Approach 2:
The patent introduces plot importance analysis as an intermediary mechanism that mediates between the desire to present full-screen recommendations and the need to avoid disrupting content. This intermediary evaluation layer analyzes chapter characteristics and determines the appropriate presentation mode, acting as a buffer that prevents arbitrary full-screen interruptions while enabling them in appropriate contexts.
3Productivity
If recommendation frequency is increased, then exposure rate improves, but reading flow is interrupted
Solution Approach 1:
The patent implements periodic action by presenting full-screen recommendations at regular intervals based on chapter boundaries rather than continuously or randomly. The system evaluates each chapter's plot importance and selectively applies full-screen recommendations to chapters with lower importance, creating a periodic pattern of recommendation presentations that maintains reading flow continuity in high-importance chapters while ensuring adequate exposure in lower-importance chapters.
Data Source
AI summary
The embodiments of the disclosure relates to a method, apparatus, device and medium for information presentation, wherein the method includes: receiving an update instruction for a first text in a reader, the first text being a part of a target book content; and updating the first text based on the target book content, and in response to the first text meeting a predetermined condition, presenting recommendation information in a full screen mode in the reader; wherein the predetermined condition is determined based on text feature information of the first text. Using the above technical solution, during the updating of the text of the book content presented in the reader, the recommendation information can be presented in the full screen mode when it is determined that the text meets the predetermined condition based on the text feature information.


