Dynamic Search Matching for E-Commerce Result Ranking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current e-commerce website search methods are tedious and unable to adapt to different user groups' requirements, leading to unreasonable search results.
Innovation Solution
A method that involves a dynamic matching unit processing search terms across multiple libraries on a server, using weighted values to rank search results based on manufacturer, user type, merchandise attributes, and promotion information, and displaying these results in a pull-down list with corresponding function buttons for streamlined operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the website provides search service by displaying results on a new page, then the search function is implemented, but the operation process becomes tedious and time-consuming
Solution Approach 1:
The patent combines the search box with the display area by showing search results in a drop-down list directly within the search interface. This merging eliminates the need to navigate to a separate results page, allowing users to view and interact with search results immediately at the search location.
Solution Approach 2:
The patent performs preliminary actions by displaying search results in advance within the drop-down list before the user confirms the search. Users can preview results and directly click function buttons to perform operations like purchase or download without completing a full search navigation cycle, thus saving time.
2Loss of information
If the website displays all search results on a new page, then complete search results are provided, but the operation process becomes complex and time-consuming
Solution Approach 1:
The patent applies partial action by displaying a limited set of search results (e.g., top 5-10 items) in the drop-down list rather than all results. This provides the most relevant information immediately, allowing users to make quick decisions without viewing the entire result set, thus reducing time loss while maintaining essential information completeness.
3Adaptability or versatility
If the website uses simple search term matching, then the search function is easy to implement, but the search results are unreasonable and cannot adapt to different user requirements
Solution Approach 1:
The patent applies local quality by providing different search result rankings and presentations tailored to different user types (e.g., professional customers vs. ordinary customers). The system adjusts the display priorities and result ordering based on user characteristics, making the search results locally optimized for each user group's specific needs.
Solution Approach 2:
The patent implements dynamics by making the search results adaptive and changeable based on user input and behavior. The drop-down list dynamically adjusts the display order and content based on real-time factors such as user type, search history, and merchandise attributes, allowing the system to evolve and adapt to different user requirements.
Data Source
AI summary
A method for accurately searching within a website is disclosed, which comprising: a search box obtaining a search term inputted and sending the search term to a dynamic matching unit; the dynamic matching unit performing query matching in different libraries according to a preset query rule to obtain search results, search results containing a plurality of merchandise information; ranking the search results according to a preset ranking rule, and displaying them in a pull-down list; each of the search results containing a merchandise name and a function button; and clicking the function button for jumping to a preset function page displaying the corresponding function information. In such a way, ranking of the search results is more reasonable and requirements. Meanwhile, the user can quickly perform such operations as search, read, download, and purchase, so as to reduce operation steps and improve user experience.