Printing Paper Recommendation Using Past Print Request Records
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Solution Overview
Problem
Existing paper selection methods in printing technologies burden users with inefficient selection processes, particularly when faced with numerous paper candidates, and depend heavily on user experience, leading to decreased efficiency.
Innovation Solution
An information processing system that utilizes a management server to analyze past printing data, identify paper and printer attributes, and suggest optimized paper candidates based on user requests, considering factors like quality, cost, and delivery time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user selects paper from among all paper candidates satisfying conditions, then the selection process is straightforward, but the user burden increases and efficiency decreases when there are many paper candidates
Solution Approach 1:
The system performs self-service by automatically analyzing past printing requests and printing records to generate paper candidates, eliminating the need for users to manually search through numerous paper options. The management server autonomously processes data and presents tailored paper candidates based on historical patterns.
Solution Approach 2:
The system performs preliminary action by pre-analyzing past printing requests and storing relevant information in the management server before the user needs to make a selection. This advance preparation allows the system to quickly generate appropriate paper candidates without requiring users to review extensive historical data.
2Ease of operation
If the user selects paper based on personal experience and ability, then the selection process is simple, but efficiency decreases depending on the user's expertise level
Solution Approach 1:
The system incorporates feedback by analyzing past printing requests and printing records to identify patterns and preferences. This feedback mechanism allows the management server to learn from historical data and generate paper candidates that are optimized for each user's specific needs, improving efficiency without requiring expert knowledge.
Solution Approach 2:
The management server acts as an intermediary between the user and the paper selection process. It mediates by processing past printing data and generating tailored paper candidates, translating complex historical information into simple, actionable recommendations that improve selection efficiency for all users regardless of expertise level.
3Loss of information
If the system presents all paper candidates satisfying conditions, then the user has complete information, but the user burden increases and selection efficiency decreases
Solution Approach 1:
The system extracts and separates relevant information from the complete set of paper candidates by analyzing past printing requests and printing records. The management server extracts key patterns and preferences, then presents only the most relevant paper candidates to the user, maintaining information completeness while significantly improving selection ease.
Data Source
AI summary
An information processing system includes one or more processors configured to: acquire past printing request information on a printing request received in a past, record information on a record of printing performed by a printer based on the past printing request information, and new printing request information on a newly received printing request; and present a candidate for paper to be used for printing related to the new printing request information based on the past printing request information, information included in the record information and related to paper used for the printing, and an attribute of paper to be used as a print medium. The attribute of paper is identified from the new printing request information.