Dynamic Keyword Update Parameters for Search Relevance
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Solution Overview
Problem
Existing keyword search methods fail to adapt to changing user needs due to fixed and infrequently updated keyword records, which cannot satisfy the dynamic nature of online content and user trends.
Innovation Solution
A method and apparatus that generate updating parameters by analyzing search keywords within a predetermined time period, computing feature values based on search frequencies and co-search frequencies, and using these values to determine the displaying modes of related keywords, ensuring timely relevance and adaptability to user trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed keyword records are used, then the search system is simple and stable, but the keywords cannot adapt to changing user needs and usage trends
Solution Approach 1:
The patent implements dynamic keyword records that automatically update based on user search behavior and usage trends. The system continuously monitors search queries and updates keyword associations in real-time, transforming static keyword records into dynamic structures that adapt to changing user needs while maintaining search functionality.
Solution Approach 2:
The patent employs feedback mechanisms where user search patterns and keyword usage data are collected, analyzed, and fed back into the keyword record system. This feedback loop enables the system to learn from actual user behavior and automatically adjust keyword associations, ensuring keywords remain relevant to current usage trends without manual intervention.
2Adaptability or versatility
If keyword records are updated frequently, then the keywords adapt to usage trends, but the system complexity and processing overhead increase
Solution Approach 1:
The patent implements periodic keyword record updates based on predefined time intervals or trigger conditions. Rather than continuous updates, the system performs updates at scheduled periods (e.g., daily, weekly) or when specific thresholds are met, balancing timeliness with processing efficiency by avoiding unnecessary frequent updates.
Solution Approach 2:
The system performs self-service keyword updates by automatically analyzing search data and updating records without requiring external intervention. The keyword update mechanism is autonomous, using built-in algorithms to process search queries and adjust keyword associations independently, reducing the need for manual maintenance and external processing resources.
3Loss of information
If existing search tools display related keywords, then users can find additional information, but the related keywords do not reflect current usage trends
Solution Approach 1:
The patent performs preliminary keyword analysis and updates in advance of user searches. By pre-processing search data and updating keyword records before actual search queries are made, the system ensures that related keywords are already optimized and ready for immediate display, eliminating the need for real-time analysis during user interactions.
Solution Approach 2:
The system maintains continuous keyword analysis and update operations that run in the background, ensuring keyword records are always current without interrupting user search operations. This continuous operation allows the system to constantly refine keyword associations while maintaining search responsiveness, balancing information relevance with processing time.
Data Source
AI summary
Provided is a method of generating updating parameters. The method obtains search keywords used by users within a predetermined time period; counts the search keywords to obtain primary keywords, related keywords, co-search frequencies of each primary keyword and the respective related keywords being searched together, and search frequencies of the primary keywords being searched alone; computes first feature values based on the search frequencies of the primary keywords being searched alone; and then computes second feature values based on the first feature values and the co-search frequencies of the primary keywords and the respective related keywords. The second feature values serve as updating parameters for determining displaying modes of the related keywords. An apparatus of generating updating parameters, and a method and an apparatus of displaying related keywords according to the updating parameters are also provided. The solution keeps abreast with the user trends to allow a better user experience and improve computing performance and efficiency. For a service provider, no special secret algorithm is needed, and the operation is easy with a low development cost.


