Mobile Search Content Relevance Based on Transaction Events
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Solution Overview
Problem
Mobile device users face difficulties in using search technologies designed for conventional online use due to limitations in displaying appropriate content, entering queries, and navigating on devices with small screens and limited network capabilities, and existing search engines are not optimized for mobile communication facilities.
Innovation Solution
A method and system for selecting and presenting content on mobile communication facilities based on the relevance of transaction events, influenced by user characteristics, history, location, and device characteristics, using a wireless search platform that processes user queries and provides tailored search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional search technologies are used on mobile devices, then search functionality is provided, but the user experience deteriorates due to small screens and limited network capabilities
Solution Approach 1:
The patent adapts search results by changing display parameters such as text size, formatting, and content selection based on mobile device characteristics including screen resolution, processing power, and network capabilities. This resolves the contradiction by modifying how search information is presented to match the constrained environment of mobile devices.
Solution Approach 2:
The search results are segmented into prioritized portions with most relevant information displayed first, and optional detailed information available on demand. This segmentation allows conventional search functionality to work effectively on mobile devices by dividing complex results into manageable, device-appropriate portions.
2Ease of operation
If search results are optimized for mobile devices, then user experience improves, but information completeness may be reduced
Solution Approach 1:
The search result presentation is made dynamic, allowing users to expand or collapse information sections based on their needs. The system provides a condensed view optimized for mobile screens by default, but enables access to complete detailed information when users select specific results, thus maintaining information completeness while optimizing for mobile constraints.
Solution Approach 2:
The system performs preliminary selection and prioritization of search results before presentation, pre-processing information to identify and display the most relevant content first. This preliminary action ensures that mobile users receive optimized results immediately while the ability to access complete information remains available.
3Measurement precision
If sponsored content is presented based on transaction events, then advertising relevance improves, but system complexity increases
Solution Approach 1:
The system implements feedback mechanisms that track user interactions with sponsored content and transaction events, using this information to continuously improve content selection accuracy. By learning from user behavior patterns and transaction data, the system achieves high advertising relevance without requiring increasingly complex manual configuration.
Solution Approach 2:
The sponsored content selection system operates autonomously by automatically analyzing transaction events and user behavior to determine relevant advertisements. This self-service approach eliminates the need for manual content curation complexity while maintaining high relevance through automated decision-making algorithms.
Data Source
AI summary
Improved capabilities are described for selecting content for presentation on a mobile communication facility, wherein the content selection is based at least in part on the relevance between the content and a transaction event associated with the mobile communication facility, and presenting the content to the mobile communication facility.