Interactive Network Location Suggestion Engine
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Solution Overview
Problem
Current search engines and web browsers require users to remember and manually enter entire URLs or submit queries to find relevant network locations, which can be time-consuming and inefficient, especially when users only know partial information about the desired content.
Innovation Solution
A system that suggests network locations as users enter query characters, by dividing content into character-combinations, establishing relevance scores, and displaying matching URLs without requiring the user to submit the query, using a server engine to interactively provide relevant URLs based on input portions, reducing the need for users to remember URLs or enter complete queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually enter entire URLs or submit complete queries to find relevant network locations, then search accuracy is improved, but search time and user effort increase
Solution Approach 1:
The system pre-divides content from network locations into character-combinations and stores them in advance. When a user types even a single character, the system can immediately retrieve matching URLs without waiting for the user to complete the entire query, thus providing accurate results while minimizing search time
Solution Approach 2:
The patent segments content into character-combinations (subsets of characters) and creates an index structure that allows partial matching. This segmentation enables the system to match user input at any stage of typing rather than requiring complete query submission, resolving the contradiction between accuracy and time
2Measurement precision
If users are required to remember and enter complete URLs, then navigation precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs automatic URL completion and suggestion based on user input. Instead of requiring users to manually remember and type complete URLs, the system serves itself by generating and presenting matching URLs that users can select, thus maintaining navigation precision while dramatically improving ease of operation
Solution Approach 2:
The character-combination index acts as an intermediary between user input and network locations. It translates partial user input into suggested complete URLs, serving as a mediator that eliminates the need for users to remember exact URLs while ensuring precise navigation to intended destinations
3Measurement precision
If the system divides content into character-combinations and stores multiple identifiers, then suggestion accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments content into character-combinations and organizes them in a structured index where each character-combination points to relevant identifiers. This segmentation approach improves suggestion accuracy by enabling partial matching while managing complexity through systematic organization of the divided content elements
Solution Approach 2:
The system stores character-combinations as subsets of complete content, which is less than storing entire URLs or complete queries. This partial action approach provides sufficient accuracy for suggestions while reducing the overall data volume and processing complexity compared to storing and searching complete identifiers
Data Source
AI summary
A computer-implemented method for suggesting character-combinations and one or more uniform resource locators in response to receiving a query prefix as input. The method includes receiving a query prefix as input, the query prefix being a character or character-combination. Character-combinations that completely or partially match the query prefix and are different from the query prefix are identified from a repository. The repository stores multiple pairs, each pair containing a character-combination and a list of identifiers pointing to network locations determined to be most relevant to the character-combination. One or more uniform resource locators are identified from the repository that have characters that completely or partially match the query prefix. The identified character-combinations and the one or more uniform resource locators are then suggested to a user.