Web Page Item Classification via Interaction Database
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Web pages with interactive components pose a challenge for computers to accurately categorize items like forms and media content due to the complexity of language processing and resource-intensive detection algorithms, which can be time-consuming and demanding on hardware resources.
Innovation Solution
A system and method that automatically categorize web page items based on user interactions by maintaining a classification database and interaction records, allowing previously categorized items to populate user-fillable fields with matching values, and updating categories based on user interactions, thereby reducing processing demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex language processing and proximity detection algorithms are used to categorize web page components, then categorization accuracy is improved, but processing time and hardware resource consumption increase
Solution Approach 1:
The system performs preliminary categorization by pre-processing web page content and storing categorized data in a database before actual user interaction. When a user visits a web page, the system retrieves pre-categorized information from the database rather than performing complex analysis in real-time, significantly reducing processing time while maintaining accuracy
Solution Approach 2:
The system creates simplified copies of web page content in structured formats (XML, JSON) that are easier to process and query. Instead of repeatedly analyzing the original complex web page structure, the system works with pre-processed copies containing extracted and categorized information, reducing computational overhead
2Measurement precision
If complex object and scene detection algorithms are used to distinguish video content, then categorization accuracy is improved, but processor, memory and network resource demands increase
Solution Approach 1:
The system performs content analysis and categorization in advance, storing results in a database. When users access video content, the system retrieves pre-analyzed metadata and categorization information rather than performing detection algorithms in real-time, dramatically reducing energy consumption on mobile devices
Solution Approach 2:
The system introduces an intermediary database layer that stores pre-processed content information. Instead of directly running complex detection algorithms on mobile devices, the system uses this intermediary storage to provide categorized information, reducing the computational burden on end-user devices
3Measurement precision
If complex language processing and detection algorithms are used, then categorization accuracy is improved, but hardware resource consumption increases
Solution Approach 1:
The system divides the categorization task into separate stages: content extraction, categorization analysis, and result storage. Each stage is handled by dedicated components, allowing the system to process web page content incrementally and store intermediate results, reducing peak hardware resource requirements
Solution Approach 2:
The system creates simplified structured copies of web page content in XML and JSON formats, extracting only the essential categorized information needed for classification. This reduces the complexity of data that needs to be processed and stored, lowering hardware resource demands while maintaining categorization accuracy
Data Source
AI summary
Web page items and other requests can be automatically categorized. An interaction with a web page item can be categorized based on previous categorizations of other web page items in which the same or similar data has been entered into a web page. A classification database containing categories of classified web page items is maintained. An interaction database containing interaction records of a user is maintained. The interaction records include a value corresponding to the user and a web page item. A web page item on a web page visited by a user and that is a user-fillable field that has been previously categorized in the classification database may be automatically populated with a value stored in an interaction database and that corresponds to the user and the user-fillable field.