An electronic document auxiliary reading method, system, device and storage medium based on reading blockage identification and intra-text dependency back chaining
By constructing a heterogeneous intra-text dependency graph and multi-hop back chain search, combined with user interaction event flow, the problems of coarse-grained blocking positioning and excessive redundant information in electronic document reading are solved, achieving precise positioning and adaptive optimization, thus improving the effectiveness of the reading assistance system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 韩泽嵘
- Filing Date
- 2026-04-10
- Publication Date
- 2026-07-03
AI Technical Summary
Existing technologies struggle to accurately pinpoint reading blockages in electronic document reading. They lack structured dependency modeling within documents, restrict search paths, and lack user feedback self-optimization mechanisms, resulting in coarse blockage location granularity, excessive redundant information, and insufficient relevance of auxiliary results.
A heterogeneous intratext dependency graph is constructed, and content unit nodes are connected through various relational edges. User interaction event streams are collected, reading blocking evidence vectors are constructed, and multi-hop backlink search is performed. The optimal content block is selected using an objective function, and dynamic updates are performed in combination with user behavior to achieve targeted interpretation and self-optimization.
It achieves fine-grained localization of reading blockage, directional interpretation based on structured dependencies, significantly reduces redundant information loading, improves the relevance and stability of auxiliary results, and has the ability to self-optimize user behavior.
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