Representative Phrase Generation for Keyword Popularity Context
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Solution Overview
Problem
Existing keyword search systems do not provide a clear reason for the popularity of keywords in real-time, especially in the context of broadcast information, making it difficult for users to understand why certain keywords are trending.
Innovation Solution
A method and system that generates a representative phrase indicating the reason for a popular keyword's popularity by correlating it with broadcast information, such as airtime, and displays this information on a content providing page.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If keyword search systems display popular keywords, then users can see trending search terms, but users cannot understand the reason for keyword popularity
Solution Approach 1:
The patent introduces broadcast information as an intermediary element that connects popular keywords to their underlying reasons. The system correlates keywords with broadcast program data (titles, content, airtime) to generate representative phrases that explain why certain keywords are trending, without requiring complex analysis of search behavior patterns
2Loss of information
If the system correlates keywords with broadcast information, then it can provide reasons for keyword popularity, but the processing complexity increases
Solution Approach 1:
The system extracts only the essential broadcast information elements needed to explain keyword popularity, such as program titles and key content descriptors. By selectively extracting relevant broadcast data rather than processing all available information, the system provides contextual explanations while maintaining manageable processing complexity
Solution Approach 2:
The patent transforms broadcast information into standardized representative phrases that correlate with keywords. By changing the parameter representation of broadcast data into structured, comparable formats, the system enables efficient correlation and matching operations without requiring complex processing of raw broadcast content
3Loss of information
If the system generates representative phrases for all popular keywords, then user understanding is enhanced, but the time required for generation increases
Solution Approach 1:
The system performs preliminary correlation between keywords and broadcast information by pre-processing and indexing broadcast data according to relevant parameters. This preliminary action enables rapid generation of representative phrases when keywords become popular, without requiring time-consuming analysis at the moment of generation
Data Source
AI summary
Provided is a method and system for providing a representative phrase with respect to a real time popular keyword, which may determine programs including a popular keyword from broadcast information, and may generate a representative phrase with respect to the popular keyword using the determined programs, thereby providing the representative phrase by combining the generated representative phrase and the popular keyword.


