Function Recommendation System Using Dynamic Degree Updates
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Solution Overview
Problem
Existing information processing apparatuses only recommend functions based on user usage history, failing to suggest useful functions that have not been used, thus limiting user convenience in discovering suitable functions.
Innovation Solution
An information processing apparatus that includes a storage unit associating function attribute information, user operation information, and recommendation degree information, with a recommendation degree updating unit, a recommended function determining unit, and a display control unit to prioritize and display useful functions based on usage history and external data, providing timely recommendations and adjusting standards based on usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If recommendation is made only based on already used functions, then the manipulation convenience of used functions is improved, but the discovery of new useful functions is limited
Solution Approach 1:
The system collects user operation information and usage history, analyzes this feedback data, and uses it to dynamically generate recommendations. The recommendation degree information is updated based on user interactions, creating a closed-loop feedback system that continuously improves recommendation quality while balancing familiarity and novelty.
Solution Approach 2:
The system pre-calculates and stores recommendation degree information for various functions before user interaction occurs. This preliminary preparation allows the system to quickly provide both familiar function reminders and novel function suggestions without delaying user operations, thereby improving both manipulation convenience and function discovery.
2Ease of operation
If recommendation degree is increased for used functions, then the convenience of manipulating familiar functions is improved, but the recommendation accuracy for new useful functions decreases
Solution Approach 1:
The system dynamically adjusts the recommendation degree parameter based on multiple factors including usage frequency, recency of use, and user preferences. By changing this parameter adaptively rather than statically prioritizing used functions, the system maintains convenience for familiar functions while accurately identifying and recommending new useful functions that match user needs.
Solution Approach 2:
The recommendation system transitions from a static approach to a dynamic one where recommendation degrees are continuously updated based on real-time user operations and usage patterns. This dynamic adjustment allows the system to adapt to changing user needs, maintaining high convenience for familiar functions while improving accuracy in suggesting new useful functions.
3Quantity of substance
If multiple functions are recommended based on usage history, then the completeness of function recommendations is improved, but the information processing complexity increases
Solution Approach 1:
Instead of uniformly processing all functions with the same complexity, the system applies different processing depths to different functions based on their recommendation degrees and user relevance. High-priority functions receive more detailed analysis while lower-priority functions receive streamlined processing, reducing overall system complexity while maintaining comprehensive recommendation coverage.
Data Source
AI summary
There is provided an information processing apparatus including a storage unit where function attribute information, user operation information, and recommendation degree information are recorded to be associated with one another, the attribute information indicating an attribute about a function of a predetermined device, the operation information indicating content of a predetermined user operation input to the device, and the degree information indicating a recommendation degree which serves as a reference for outputting, on a priority basis, display for recommending use of the function to a display apparatus, a recommendation degree information updating unit that updates, when a predetermined user operation is input, the degree information to increase the degree associated with function attribute information, and a recommended function determining unit that determines, based on the degree information recorded in the unit, a function with a highest degree as a recommended function.