Information Processing Device for Browsing-Log-Guided AI Documents
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Solution Overview
Problem
Existing technologies fail to properly reflect analysis results of browsing logs in content generation, limiting the ability to create appropriate content based on user preferences.
Innovation Solution
An information processing device that acquires browsing logs, specifies content characteristics based on attention levels, and creates instructive sentences to generate documents accordingly, utilizing a generative AI model like ChatGPT for content creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If browsing logs are acquired and analyzed to reflect user preferences, then content relevance is improved, but the complexity of the information processing system increases
Solution Approach 1:
The system acquires browsing logs of generated documents and analyzes them to extract characteristics of content with predetermined attention levels. These analysis results are fed back to modify and optimize subsequent document generation, creating a closed-loop feedback mechanism that continuously improves content relevance based on actual user behavior data.
Solution Approach 2:
The information processing device autonomously performs the entire cycle of document generation, browsing log acquisition, analysis, and optimization without requiring external intervention. The system self-adjusts its generation parameters based on analyzed browsing patterns, enabling autonomous improvement of content relevance over time.
2Productivity
If content generation is optimized based on browsing log analysis, then content engagement is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of browsing logs and extraction of content characteristics before the actual document generation process. By pre-identifying which content features attract predetermined levels of attention, the system can efficiently target these features during generation rather than analyzing everything in real-time, reducing processing delays.
Solution Approach 2:
Instead of analyzing all possible content attributes exhaustively, the system focuses on extracting only the specific characteristics that correlate with predetermined attention levels from browsing logs. This selective extraction approach maintains sufficient optimization effectiveness while significantly reducing computational time and resource requirements.
Data Source
AI summary
In an information processing device, an acquisition means acquires a log indicating a record in which a document, which is output by a model for generating the document containing a content indicated in an instructive sentence, has been browsed. A specifying means specifies characteristics of the content having a predetermined level of attention based on the log. A creation means creates the instructive sentence so as to generate the document in accordance with the characteristics specified.


