Representative Phrase Generation for Real-Time Keyword Context
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Solution Overview
Problem
Users face inconvenience in understanding the reasons behind the popularity of real-time keywords displayed on web pages, as they need to select and read multiple documents associated with the keywords to grasp the context, which is time-consuming and inefficient.
Innovation Solution
A method and system that generate a representative phrase indicating the reason for a keyword's popularity in real-time by analyzing morphemes of documents associated with the keyword, using N-gram morpheme analysis and categorical clustering techniques to combine the keyword with a summary phrase for immediate display on web pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users select and read multiple documents associated with a popular keyword to understand the reason for its popularity, then users can obtain detailed information about the keyword, but users consume excessive time and effort
Solution Approach 1:
The patent extracts the essential meaning from multiple documents by generating a representative phrase that captures the core reason for a keyword's popularity. Instead of requiring users to read all associated documents, the system extracts and presents only the most relevant summary information in the form of a concise representative phrase, thereby reducing time consumption while preserving information completeness.
Solution Approach 2:
The patent creates a simplified copy or representation of the essential content from multiple documents. The representative phrase serves as a condensed copy that encapsulates the main idea without requiring users to access the full original documents, thus maintaining information value while significantly reducing the time and effort needed to understand the keyword's popularity reason.
2Device complexity
If the system displays only popular keywords without additional context, then the web page layout remains simple, but users cannot understand the reason for keyword popularity
Solution Approach 1:
The patent merges the popular keyword with its representative phrase into a single display unit. The representative phrase is combined with the keyword in a structured format that provides context without creating a complex layout. This integration allows the system to maintain relative simplicity while effectively conveying the reason for keyword popularity through the combined display of keyword and representative phrase.
3Productivity
If the system generates and displays representative phrases for all popular keywords, then users can quickly understand keyword context, but the processing complexity and computational resources increase
Solution Approach 1:
The patent applies partial action by generating representative phrases selectively rather than for all keywords universally. The system focuses computational resources on generating representative phrases for the most relevant or frequently searched keywords, providing sufficient context information for high-priority keywords while avoiding the excessive computational burden of processing every single keyword equally, thus balancing productivity gains with manageable processing complexity.
Data Source
AI summary
A method and system for providing a representative phrase corresponding to a real time (current time) popular keyword. The method and system may extend a representative criterion word, determined by analyzing morphemes of words in documents grouped into a cluster, and may combine the extended representative criterion word and the popular keyword, thereby providing the representative phrases. The method and system may display the popular keyword and the representative phrases on a web page, or the like.