Document Presentation System Using Operation Log Analysis
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Solution Overview
Problem
Existing systems face challenges in presenting relevant documents to users efficiently, particularly due to link rot and the need for manual management of documents, as well as the requirement for users to enter specific keywords when using search engines or FAQs.
Innovation Solution
A presentation apparatus that includes a document acquisition unit, a feature amount calculation unit, and a relevance calculation unit to collect and analyze documents, calculate feature amounts, and present relevant documents to users based on their operation logs, using techniques like TF-IDF and Doc2Vec for relevance determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If search engines or FAQs are provided to help users find information, then users can access documents, but users must enter specific keywords or questions which increases operation complexity
Solution Approach 1:
The system automatically analyzes operation logs to extract keywords and presents relevant documents without user intervention. The operation log analysis unit automatically identifies keywords from user operations, and the document presentation unit delivers relevant documents without requiring users to formulate search queries, enabling the system to serve itself by autonomously understanding user needs and providing appropriate information.
Solution Approach 2:
The patent replaces the manual keyword-entry mechanism with automated operation log analysis. Instead of requiring users to mechanically input search terms, the system uses software-based analysis of operation logs to automatically extract meaningful keywords and identify relevant documents, substituting a complex manual search process with an automated analytical system.
2Ease of operation
If administrators manually manage documents and update links to ensure users can easily access information, then document accessibility is maintained, but administrative workload increases
Solution Approach 1:
The system automatically monitors and analyzes operation logs to identify which documents users need, eliminating the need for administrators to manually track and update document links. The operation log analysis unit continuously processes user operations and automatically determines document relevance, allowing the system to self-manage document accessibility without administrative intervention.
Solution Approach 2:
The system uses operation logs as feedback to automatically adjust document recommendations. By continuously analyzing user operation patterns and feedback from actual document access behavior, the system dynamically updates which documents to present, replacing manual administrative updates with an automated feedback-driven adaptation mechanism.
3Speed
If shortcuts to files are created to help users access documents quickly, then access speed is improved, but link rot occurs requiring continuous updates
Solution Approach 1:
Instead of creating static shortcuts that become obsolete, the system dynamically generates document recommendations based on current operation logs. The document presentation unit continuously adapts recommendations based on real-time analysis of user operations, ensuring that recommended documents remain relevant and accessible without requiring manual updates to fixed links.
Solution Approach 2:
The system proactively presents relevant documents before users need to search for them by analyzing operation patterns. By predicting which documents users will need based on their operation context and presenting them in advance, the system eliminates the need for users to manually update or search for documents, providing both speed and reliability.
4Measurement precision
If related documents are extracted from past operation logs and presented to users, then document relevance is improved, but the system can only present documents with existing view records
Solution Approach 1:
The operation log analysis unit performs multiple functions: it not only extracts keywords from past operation logs but also analyzes current operation context in real-time. This multi-functional approach allows the system to present relevant documents based on both historical patterns and current operational needs, expanding document coverage beyond just previously viewed documents while maintaining high relevance accuracy.
Solution Approach 2:
The system uses operation logs as an intermediary to bridge the gap between user needs and document repositories. By analyzing operation logs to extract meaningful patterns and keywords, the system mediates between user operational context and the available document collection, enabling it to present relevant documents even for operations without direct view records by inferring needs from operational patterns.
Data Source
AI summary
A document acquisition unit (15c) collects documents, a feature amount calculation unit (15d) calculates feature amounts of words included in the collected documents, a relevance calculation unit (15f) calculates relevances between the documents and words included in operation logs in a window operated by a user, using the calculated feature amounts of the words included in the documents, and a presentation unit (15g) presents, to the user, a predetermined number of the documents in an order of descending relevance, as related documents. In this manner, it is possible to present documents related to a user's operation to the user.