Information Search System Using Creator Weight and User Relevance
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Solution Overview
Problem
Existing information search methods fail to leverage internal relationships among entities such as users, information items, and creators, resulting in low search accuracy.
Innovation Solution
A method and apparatus that assess the importance of information items based on creator weight, relevance between users and creators, historical user interest, and content relevance among items, to filter and return the most relevant results to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If keyword-based search is used, then search simplicity is maintained, but search accuracy deteriorates due to failure to leverage internal relationships among entities
Solution Approach 1:
The patent transitions from traditional keyword-based search to a multi-dimensional search framework that incorporates creator information, user profiles, and relationship networks. This adds new dimensions (creator weight, user-creator relevance, historical interest) to the search process, enabling more accurate results by considering internal relationships among entities rather than relying solely on keyword matching
Solution Approach 2:
The search system is segmented into multiple independent modules: creator weight determination module, user-creator relevance calculation module, historical interest analysis module, and result ranking module. Each module handles a specific aspect of the search process, allowing the system to leverage internal relationships while maintaining manageable complexity through modular design
2Measurement precision
If internal relationships among entities are leveraged, then search accuracy improves, but computational complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing creator weights, user profiles, and relationship data before actual search operations. This preparation work is done in advance so that during search execution, the system can quickly retrieve and apply these pre-computed values, reducing real-time computational complexity while maintaining high search accuracy
Solution Approach 2:
The system implements feedback mechanisms where search results and user interactions are continuously analyzed to refine creator weights, update user profiles, and adjust relationship mappings. This feedback loop improves search accuracy over time while the system learns to optimize computational resources based on actual usage patterns and relevance data
Data Source
AI summary
The present invention provides a method and apparatus for searching information. The method is for, in response to receipt of a keyword from a search user of a plurality of users, searching in an information repository to obtain one or more information items to be returned; and returning the information item to the search user based on an importance of each information item of the one or more information items. With the method, it is possible to fully leverage various objective internal relationships between search users, information items and creators and thus improve the search accuracy.