Mobile Calling Number Tagging via Location-Based Format Detection
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Solution Overview
Problem
Existing systems fail to effectively identify and tag calling numbers on mobile devices for web pages, leading to suboptimal user experience and click-through rates, as they struggle to determine the correct calling format based on location and accurately differentiate between calling numbers and other text formats.
Innovation Solution
The method involves identifying the location of a mobile device, selecting the appropriate calling format based on the location, and generating an altered version of content items to tag calling numbers using HTML links, with feedback mechanisms to ensure accurate identification and improve user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a generic calling number format is used without location-based identification, then the system complexity is reduced, but the accuracy of calling number identification deteriorates
Solution Approach 1:
The patent applies local quality by customizing the calling number identification and formatting based on the user's geographic location. The system detects the user's location and applies location-specific calling formats (e.g., different country codes, area code structures, or dialing procedures) rather than using a single generic format for all users. This ensures accurate calling number identification for each local context while managing complexity through automated location detection.
2Ease of operation
If calling numbers are tagged with HTML links on mobile devices, then the user experience is improved, but the risk of misidentification increases
Solution Approach 1:
The patent implements feedback mechanisms to verify and improve calling number identification accuracy. The system monitors whether users successfully place calls through tagged links and uses this feedback to refine identification algorithms. This feedback loop helps distinguish actual calling numbers from other text formats by learning from real-world usage patterns, thereby maintaining high user experience while improving reliability over time.
Solution Approach 2:
The patent replaces manual verification of calling numbers with automated detection and tagging systems. Instead of relying on users to manually identify and format calling numbers, the system automatically detects potential calling numbers, applies appropriate formatting based on location, and tags them with HTML links. This substitution of manual processes with automated mechanisms improves both user experience and identification reliability.
3Productivity
If location-based calling format selection is implemented, then the click-through rate is improved, but the data processing requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-detecting and storing the user's location information before the actual calling number tagging process. The system identifies the user's geographic location in advance and caches this information, so that when calling numbers need to be tagged, the location data is already available. This preliminary detection reduces real-time processing requirements and energy consumption while maintaining high click-through rates through accurate location-based formatting.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for number identification and tagging. One of the methods includes identifying a content item to be provided to a mobile device. The method includes identifying a location of the mobile device. The method includes identifying at least one calling format based on the location. The method includes identify a calling number included in the content item based on the at least one calling format. The method includes generating an altered version of the content item to tag the calling number. The method also includes provide the altered version to the mobile device.