Print Setting Recommendation System Using History Accumulation
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Solution Overview
Problem
Users unfamiliar with print processing struggle to utilize available printer functions due to difficulty in finding and understanding how to use them, as existing methods rely on selecting print modes based on document attribute information without considering user-specific or historical print settings.
Innovation Solution
A printing system that accumulates print setting histories and searches for recommended setting candidates based on user-specific and historical data, displaying them in descending order of setting frequency to assist users in making informed print settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a print mode is selected based on document attribute information, then the print mode selection is automated, but the user-specific and historical print settings are not considered
Solution Approach 1:
The system performs preliminary actions by accumulating and storing print setting histories before the actual print job execution. The history accumulation unit stores past print settings including user-specific preferences, device information, and document attributes. When a new print job arrives, the system searches this pre-accumulated history to find recommended settings, combining automation with user-specific adaptation without requiring real-time user input.
2Ease of operation
If print setting histories are accumulated and searched for recommendations, then user-specific recommendations are provided, but the system complexity increases
Solution Approach 1:
The system is segmented into distinct functional units: a history accumulation unit that stores past settings, a search unit that queries the accumulated history, and a recommendation provision unit that presents findings. This segmentation allows each unit to perform its specific function independently, managing complexity through modular design while providing comprehensive user-specific recommendations.
Solution Approach 2:
The print setting history serves as an intermediary between the user's past preferences and the current print job requirements. Instead of directly analyzing user behavior patterns or implementing complex AI, the system uses the accumulated history as a mediator to bridge automated selection with user-specific needs, simplifying the overall system architecture.
3Productivity
If recommendation setting candidates are displayed in descending order of setting frequency, then the most common settings are prioritized, but less frequent but potentially optimal settings may be overlooked
Solution Approach 1:
The system changes the parameter of recommendation presentation by sorting candidates in descending order of setting frequency. This parameter change prioritizes settings that have proven effective in the past for similar jobs, improving productivity by presenting the most likely optimal settings first. The sorting parameter can be adjusted based on different criteria (frequency, recency, user preferences) to balance efficiency and optimality.
Data Source
AI summary
A recommendation set content in a print setting item is proposed based on a print setting history of a print job in which a print instruction is given from an information processing apparatus and printing is performed in an image forming apparatus at time of print setting in the information processing apparatus. A printing system accumulates set contents of print setting items at time of print instruction in the information processing apparatus as a print setting history, for example, in a server, and at start of print setting or at time of print setting change in the information processing apparatus, searches recommendation setting candidates based on a predetermined recommendation basis from the set contents of print setting items at the start of the print setting or at the time of the print setting change, and displays the searched recommendation setting candidates on the information processing apparatus.