Keyword Extraction for Context-Aware Information Delivery
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Solution Overview
Problem
Existing display apparatuses are limited in predicting and providing additional information relevant to a user's interests beyond predetermined interest information, and they do not consider the user's current situation or environment, leading to reduced user engagement.
Innovation Solution
An electrical apparatus that extracts keywords from input data, detects context information to determine user interests, and acquires additional information based on these keywords, which includes profile, preference, and viewing history data, to provide relevant information dynamically, even when the user is not actively searching for it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a display apparatus provides only information based on predetermined user interest information, then the information provided is relevant to user interests, but the apparatus cannot provide additional expanded information that the user may be interested in
Solution Approach 1:
The system performs preliminary analysis by extracting keywords from source data and pre-storing them along with context information. When additional information is needed, the system quickly retrieves and matches keywords with pre-analyzed context data, avoiding complex real-time analysis and enabling rapid provision of expanded information.
Solution Approach 2:
The system introduces an intermediary keyword extraction and matching mechanism that bridges the gap between source data and user interest information. Keywords serve as intermediaries that connect content with user preferences, enabling the system to provide relevant additional information without requiring complex direct analysis between all possible data pairs.
2Reliability
If a display apparatus provides information without considering user's present situation and environment, then the information provision process is simple, but user interest in the provided information is reduced
Solution Approach 1:
The system pre-detects and stores context information including user profile data, preference information, viewing history, and environmental factors. This preliminary context gathering enables the system to quickly assess user situation when providing information, ensuring relevance without requiring complex real-time detection for each information provision event.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor user reactions to provided information and adjust future information selection accordingly. By analyzing user responses and updating context information, the system continuously improves the relevance of provided information while adapting to changing user situations and preferences.
3Reliability
If a display apparatus provides expanded information such as team records or player information, then user interest is enhanced, but the apparatus requires advanced prediction capability beyond simple keyword matching
Solution Approach 1:
The system uses keywords as intermediary elements that connect source data with user interest profiles. By extracting meaningful keywords and matching them against pre-stored context information and user preferences, the system achieves accurate prediction of relevant additional information through a structured intermediary process rather than requiring complex automated prediction algorithms.
Solution Approach 2:
The system replaces complex automated prediction mechanisms with a more efficient keyword-based information retrieval approach. Instead of using sophisticated prediction algorithms, the system substitutes a streamlined process of keyword extraction, matching, and retrieval that achieves accurate information provision with reduced computational complexity.
Data Source
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AI summary
A method for providing additional information by an electrical apparatus, the method including: extracting at least one keyword from input source data; detecting context information corresponding to a user to whom the additional information is to be provided; determining at least one keyword corresponding to an object of interest of the user from among the extracted at least one keyword based on the detected context information; acquiring additional information corresponding to the determined at least one keyword; and outputting the acquired additional information.