Dynamic Search Result Ranking via Social Network Content
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Solution Overview
Problem
Existing image search services fail to consider time-dependent changes in search results, leading to static results unless manually updated by users, and lack integration with social network services to provide dynamic and relevant content based on newness and popularity.
Innovation Solution
A method and system that dynamically updates search results by extracting and ranking social network service (SNS) content based on user feedback and newness information, applying weights to time factors to ensure real-time relevance, and combining SNS with search services to provide time-dependent and popular content without additional user action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If general image search services sort images based on preset criteria, then search results can be provided efficiently, but the search results cannot reflect time-dependent changes or real-time updates
Solution Approach 1:
The patent implements dynamic search results by continuously extracting new SNS contents and recalculating rankings in real-time. The search result is not static but dynamically updated as new contents are extracted and ranked according to user feedback and newness information, allowing the search result to adapt to time-dependent changes automatically.
Solution Approach 2:
The patent incorporates user feedback information as a key factor in determining the ranking of SNS contents. By monitoring and utilizing user interactions (likes, comments, shares) in real-time, the system adjusts the ranking and repositions contents within search results, creating a feedback-driven dynamic search experience that responds to user preferences.
2Measurement precision
If SNS contents are continuously extracted and ranked based on user feedback and newness, then real-time relevance is improved, but system complexity increases
Solution Approach 1:
The system performs automatic extraction, ranking, and repositioning of SNS contents without requiring manual intervention. The search system serves itself by continuously monitoring user feedback, calculating rankings based on predefined algorithms, and automatically updating the search result display, thereby managing its own complexity through automation.
Solution Approach 2:
The patent utilizes parameter changes in user feedback information (likes, comments, shares) and newness metrics to dynamically adjust content rankings. By monitoring changes in these parameters over time, the system automatically recalculates rankings and repositions contents, managing complexity through parameter-driven automation rather than manual control.
3Ease of operation
If search results are dynamically updated without additional user action, then user convenience is improved, but automated processing requirements increase
Solution Approach 1:
The search system automatically performs content extraction, ranking calculation, and result updates without requiring user initiation. Once the user inputs a keyword, the system autonomously continues to extract new SNS contents, calculate rankings based on user feedback and newness, and update the search result display, providing continuous service without additional user actions.
Solution Approach 2:
The patent implements continuous extraction and ranking of SNS contents after the initial search. Rather than requiring repeated user actions to refresh results, the system maintains continuous operation, constantly monitoring for new contents and automatically updating rankings, thereby providing uninterrupted and evolving search results that adapt over time.
Data Source
AI summary
A search result providing method and a system provide a real-time change in a search result. The search result method may include receiving a keyword; extracting social network service (SNS) contents corresponding to the keyword by conducting a search on contents registered to an SNS platform; determining a ranking of each of the SNS contents based on user feedback information and newness information of each of the SNS contents; and providing a search result associated with the keyword by selecting and sorting SNS contents to be displayed on a user terminal based on the rankings. The extracting and the determining may be repeatedly performed, and the providing may include dynamically moving the locations of SNS contents within the search result by selecting and sorting the SNS contents to be displayed on the user terminal based on a real-time change in the rankings by the repeatedly performing.