Search Term Categorization via History Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge lies in effectively categorizing search terms for URL registration, where the first user to select a URL may have little or no association with the message conveyed by the URL, leading to inefficient and unassociated URL usage.
Innovation Solution
A computer-implemented method that accesses search history to categorize search terms based on their frequency and user association, allowing registration to users with recognized associations, reserving on a first-come-first-served basis, or requiring additional verification, while excluding restricted terms like trademarks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If URL registration is done on a first come first serve basis, then registration simplicity is improved, but URL association with message is worsened
Solution Approach 1:
The system performs preliminary analysis of search history data before URL registration to identify terms with recognized associations. This preliminary action categorizes search terms into different types (generic, top, semi-restricted) based on prior user search patterns, enabling the system to apply appropriate registration rules in advance rather than treating all terms equally during registration.
Solution Approach 2:
The system uses feedback from search history data to dynamically adjust registration requirements. By analyzing how users previously searched for and interacted with specific terms, the system feeds this information back into the registration process to determine whether additional verification is needed, thus balancing simplicity with association reliability.
2Reliability
If search term categorization is performed with detailed verification, then URL association reliability is improved, but registration complexity is worsened
Solution Approach 1:
The system segments search terms into distinct categories (generic, top, semi-restricted) based on search history analysis. Each category has predetermined registration rules, simplifying the complexity by breaking down the decision-making process into discrete segments rather than requiring continuous complex evaluation for each term.
Solution Approach 2:
The system changes the parameter of verification intensity based on the categorized type of search term. Instead of applying uniform detailed verification to all terms, the system adjusts the verification parameter dynamically - applying strict verification only to semi-restricted terms while allowing straightforward registration for generic and top terms.
3Adaptability or versatility
If all search terms are made available for registration, then registration availability is improved, but misuse risk is worsened
Solution Approach 1:
The system introduces an intermediary classification layer between search terms and registration availability. Rather than directly allowing or blocking registration, the system uses search history analysis as an intermediary to categorize terms and determine appropriate registration pathways, thus mediating between availability and misuse prevention.
Solution Approach 2:
The system applies different quality controls to different search terms based on their local characteristics identified through search history analysis. Instead of applying a uniform restriction policy, the system tailors the registration process to each term's specific association strength, allowing high-association terms to be registered freely while restricting low-association terms.
Data Source
AI summary
A system and method are disclosed for categorizing search terms. The system accesses search history for the search terms. The system also categorizes each of the search terms based on the number of times that the respective search term appears in the search history. If the number of times the search term appears in the search history exceeds a first threshold, a search result of the search term is determined and the search term is categorized as a type that is provided for registration to a user with recognized association with the search term or a type that is excluded from registration, where the categorizing based on a ratio of a number of times the search result was selected subsequent to receiving the search term to the number of times that the search term appears in the search history.