E-book Sample Generation with Logical End Points
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Solution Overview
Problem
E-book samples often have arbitrary and illogical ending points, such as mid-sentence or mid-word, which negatively impact the reader's experience and purchasing decision.
Innovation Solution
A system and method for generating an optimized e-book sample by applying heuristics to identify a logical end point, such as a paragraph, sentence, or word end point, ensuring a smoother and more desirable reading experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed percentage of e-book content is taken to generate a sample, then the sample generation process is simple and quick, but the ending point becomes arbitrary and illogical (e.g., mid-word or mid-sentence)
Solution Approach 1:
The system performs preliminary analysis of the e-book content structure (identifying paragraphs, sentences, and words) before generating the sample. This allows the ending point to be predetermined at logical boundaries rather than being arbitrarily selected, resolving the contradiction between quick generation and precise ending points.
Solution Approach 2:
The patent introduces an intermediary layer (the sample generation system with heuristics) that mediates between the simple fixed-percentage approach and the desired logical ending points. This intermediary analyzes content structure and intelligently selects ending points at paragraph, sentence, or word boundaries while maintaining efficient sample generation.
2Ease of manufacture
If the sample ends at an arbitrary point, then the generation process is straightforward, but the reader experience becomes negative and purchase decisions are impacted
Solution Approach 1:
The sample generation system performs self-service by automatically analyzing the e-book content structure and selecting appropriate ending points without requiring manual intervention. The heuristics enable the system to serve itself in identifying logical boundaries, eliminating the need for complex manual processes while avoiding negative reader experiences from arbitrary cut-offs.
Data Source
AI summary
A system and method for generating an electronic publication (e.g., an e-book) sample having an end point designated in accordance with a set of heuristics. A start reading location is identified within the content of an electronic publication. A sample block is identified which includes a percentage of the content following the start reading location. A set of heuristics (e.g., rules) configured to identify an end point for the e-book sample is applied to a selected portion of the content within the sample block. The end point of the sample block is designated according to the set of heuristics and the electronic publication sample having the designated end point is stored.