Component Information Objects for Mobile Web Context
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Solution Overview
Problem
Mobile devices with small screens and limited input capabilities face challenges in efficiently accessing and viewing web page components, leading to increased effort and cost for users, while advertisers struggle to deliver contextually relevant advertising without invading user privacy.
Innovation Solution
A method and system that selects and stores component information objects from digital documents, using the Document Object Model to dynamically identify and display specific components, and deduce viewer context for targeted advertising, allowing users to opt-in for additional content with minimal effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standard web pages are displayed on mobile devices, then users can access information, but the small screen makes viewing difficult and requires greater user effort
Solution Approach 1:
The patent segments the web page into individual components (tables, images, text blocks) and allows users to selectively access only the components they need, rather than displaying the entire page. This reduces the information overload on small screens and decreases user effort by focusing attention on specific content areas.
Solution Approach 2:
The system pre-processes web pages by identifying and organizing components before they are requested. Component information objects are created and stored with metadata about their location and characteristics, enabling rapid retrieval and display without requiring the user to navigate through the entire page structure.
2Loss of information
If entire web pages are downloaded, then complete information is available, but retrieval time and cost increase
Solution Approach 1:
The patent extracts specific components from the full web page and makes them available as independent Component Information Objects. Users can request and download only the components they need (e.g., a specific table or image) rather than the entire page, significantly reducing retrieval time and data transmission costs while maintaining information completeness for the requested components.
Solution Approach 2:
Instead of requiring users to access the complete web page (excessive action), the system provides partial action by delivering only the necessary components. This partial fulfillment of information needs reduces retrieval time and bandwidth usage while still providing complete information for the specific components requested.
3Object-generated harmful factors
If advertisers display ads on mobile devices, then advertising revenue is generated, but user resistance increases due to privacy concerns and intrusive display
Solution Approach 1:
The patent introduces Component Information Objects as intermediaries between the web page content and the advertising system. These objects contain metadata about the component's context, location, and characteristics, which can be used to create highly targeted advertisements. The intermediary structure allows advertisers to access contextual information without directly tracking user behavior or invading privacy.
Solution Approach 2:
The system applies local quality by creating advertisements that are specifically tailored to the local context of each component object rather than using generic page-level ads. Advertisements are customized based on the specific component's attributes (e.g., a table about healthcare services would get healthcare-related ads), making them more relevant and less intrusive to users.
4Adaptability or versatility
If web pages are optimized for desktop viewing, then information is accessible, but mobile device viewing is compromised
Solution Approach 1:
The patent implements dynamics by allowing the web page components to be dynamically retrieved, displayed, and interacted with based on the capabilities and context of the accessing device. The same component can be presented differently on mobile devices versus desktops, and components can be dynamically loaded or unloaded based on user interaction patterns and device resources.
Data Source
AI summary
A method and system for identifying individual component objects of a digital document and storing and retrieving such data for repeated discovery and viewing. Pages of digital documents are retrieved from servers and desired objects are displayed on a client computer. The human viewer's context is deduced from attributes of the object to determine further processing, including mobile advertising display.