Information Processing Apparatus for Electronic Content Operation
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Solution Overview
Problem
Users operating electronic content face challenges in easily identifying recommended operations and related content, as existing systems lack effective methods to notify users of subsequent operations and related content relevant to their current tasks.
Innovation Solution
An information processing apparatus and method that utilizes a processor to specify recommended operations and related content by analyzing state and operation history data, using a work database to identify similar works and attributes, and notifying users through a user terminal, enabling easy access to target-related content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system provides detailed operation guidance and related content notifications, then user efficiency is improved, but system complexity increases
Solution Approach 1:
The system automatically analyzes operation history data and work database information to generate recommended operations and related content notifications without requiring manual configuration. The processor autonomously specifies recommended operations based on past operation patterns and notifies users of target-related content, enabling the system to serve itself in creating intelligent assistance.
Solution Approach 2:
The system utilizes operation history data as feedback to continuously improve operation recommendations. By analyzing past operations and their outcomes, the system refines its ability to specify accurate recommended operations and identify relevant target-related content, creating a closed-loop learning mechanism that enhances user efficiency over time.
2Measurement precision
If the system analyzes operation history and work database to specify recommended operations, then operation accuracy is improved, but processing time increases
Solution Approach 1:
The system pre-processes and stores operation history data and work database information in structured formats before they are needed for recommendation. By organizing data ahead of time with relevant attributes and relationships already established, the system reduces the computational burden during actual recommendation generation, thereby maintaining high accuracy while minimizing processing delays.
Data Source
AI summary
An information processing apparatus includes a processor configured to, based on state information indicating a state of electronic content, operation information indicating an operation performed in the past with respect to the electronic content of the state, and a state of target content that is electronic content operated by a user, specify a recommended operation that is an operation to be subsequently performed by the user with respect to the target content, based on a work database in which information related to a work including plural operations performed in the past with respect to electronic content is stored and in which an attribute of the electronic content, details of the plural operations performed in the past with respect to the electronic content, and an attribute of related content that is electronic content related to the electronic content with respect to at least one operation of the plural operations are associated with each other, an attribute of the target content, and an operation detail performed by the user so far with respect to the target content, specify a similar work similar to a work with respect to the target content from the work stored in the work database, specify an attribute of the related content that is an attribute of the related content included in the similar work with respect to an operation corresponding to the recommended operation performed in the similar work, specify target-related content that is electronic content related to the recommended operation with respect to the target content, from electronic content having the specified attribute based on the target content, and notify the user of the target-related content.