Context-Aware Content Retrieval Using AI Analysis
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Solution Overview
Problem
Users often forget stored contents over time, making them less useful when needed, as there is no effective way to recall or access them without additional operations.
Innovation Solution
An electronic apparatus that utilizes AI technology to store context information alongside content and provides relevant content based on detected context, using a processor to analyze and match context information with pre-stored data, allowing for seamless retrieval of stored content without additional user operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content is stored without context information, then storage simplicity is maintained, but content retrieval effectiveness deteriorates as users forget stored content over time
Solution Approach 1:
The system performs preliminary analysis of content to extract context information (keywords, metadata, semantic features) at the time of storage. This advance preparation ensures that when content needs to be retrieved, the context data is already available to facilitate quick and accurate recall without requiring users to remember content details
Solution Approach 2:
Context information acts as an intermediary between the stored content and the user's retrieval needs. Instead of users directly searching for content, they interact with context keywords or descriptors that the system then uses to locate and retrieve the actual content, bridging the gap between user memory and stored data
2Measurement precision
If context information is analyzed and stored for every content, then content retrieval accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system extracts only the most essential context information (key keywords, critical metadata, prominent semantic features) rather than analyzing every aspect of the content. This selective approach captures sufficient context for effective retrieval while minimizing processing overhead and time consumption
Solution Approach 2:
Context analysis is performed in advance when content is first stored, rather than in real-time during retrieval operations. This preliminary processing distributes the computational burden over time, making the actual retrieval process faster and more efficient
Data Source
AI summary
An electronic apparatus is provided. The electronic apparatus includes an input interface configured to receive a user command, a memory, a display configured to display a content, and a processor configured, in response to a predetermined command with respect to the content being received through the input interface, to acquire context information of the content by analyzing the content, to store the context information together with the information relating to the content in the memory, and in response to a context corresponding to the context information being detected, to control the display to provide a content corresponding to the detected context. At least some of a method for controlling the electronic apparatus may use a rules-based model or an artificial intelligence model which is trained according to at least one of a machine learning, a neural network, and a deep learning algorithm. For example, the artificial intelligence model may provide context information, which is a result of determination using a content as an input value, to the electronic apparatus.