Comment-Aware Document Retrieval for More Relevant Recommendations
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Solution Overview
Problem
Existing document processing systems fail to consider comments added to documents when identifying related documents, limiting the relevance and accuracy of document recommendations.
Innovation Solution
An information processing system that integrates comment input into the process of selecting related documents by extracting important words from both the document content and comments, updating important word information based on comments, and using this information to search for and present relevant documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only document content is used to extract search keywords, then the search process is simple, but the relevance and accuracy of document recommendations deteriorates
Solution Approach 1:
The patent merges document content and comments as unified information sources for keyword extraction. The processor extracts keywords from both the viewing document and its associated comments, then uses these combined keywords to search the document group. This integration allows the system to leverage user feedback and contextual information from comments while maintaining a unified search process, thereby improving recommendation accuracy without proportionally increasing system complexity.
2Reliability
If comments are integrated into document analysis, then document recommendation relevance improves, but information processing complexity increases
Solution Approach 1:
The patent implements a universal keyword extraction mechanism that handles both document content and comments through the same processing pipeline. The processor performs keyword extraction on viewing information (which includes both document content and comments), then uses these keywords for searching the document group. This multi-functional approach allows the system to process diverse information sources (documents and comments) uniformly, improving recommendation relevance while avoiding the need for separate complex processing paths.
3Loss of information
If keyword extraction is performed only from viewing document, then processing speed is fast, but search completeness deteriorates
Solution Approach 1:
The patent performs preliminary keyword extraction from both the viewing document and its comments before the search process begins. By extracting keywords from comment information in advance and combining them with keywords from the document content, the system prepares a comprehensive keyword set that captures all relevant information. This preliminary action ensures that no important search terms are missed, while the extracted keywords are ready for immediate use in the search process, minimizing actual search time.
Data Source
AI summary
An information processing system includes a processor configured to receive a comment input by a user on a document, select a related document based on the document and the comment, and present the selected related document.