Location-Specific Website Popularity Ranking System
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Solution Overview
Problem
Conventional top lists fail to provide context-specific information on popular websites for users in specific locations, such as cities or neighborhoods, which can be beneficial for users with portable devices traveling to those areas.
Innovation Solution
A system and method that collect and analyze Internet usage data from portable devices to generate location-specific lists of popular websites, using position data to identify the most visited websites within a specified geographic area, and allowing users to filter and refine the results based on time and location parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional top lists are generated from aggregated Internet usage data across all locations, then the overall popularity information is comprehensive and valuable, but the location-specific context information is lost
Solution Approach 1:
The patent segments the aggregated Internet usage data by geographic location, creating separate popularity rankings for different locations. The server divides the global user base into location-specific groups and generates independent top lists for each location, thereby preserving location-specific context information that would be lost in global aggregation.
Solution Approach 2:
The patent implements local quality by providing customized popularity information tailored to each specific location. Instead of a uniform global ranking, the system delivers location-adaptive top lists that reflect the actual browsing preferences and behaviors of users in particular geographic areas, making the information locally relevant and useful.
2Adaptability or versatility
If position data is collected from portable devices to enable location-specific top lists, then context-specific information is provided, but the data collection complexity and user privacy requirements increase
Solution Approach 1:
The patent introduces a server as an intermediary that handles the complex tasks of position data collection, validation, and processing. Rather than requiring complex client-side implementations on portable devices, the server acts as a central coordinator that receives location information from devices and performs the sophisticated data aggregation and ranking operations, thereby reducing device complexity while maintaining adaptability.
Solution Approach 2:
The patent creates a universal system that can serve multiple locations and device types through a single platform. The server infrastructure is designed to handle position data from various portable devices and generate location-specific top lists for any geographic area, making the system highly adaptable and versatile without requiring location-specific customizations at the device level.
3Reliability
If top lists are updated in real-time based on current location data, then the information remains current and useful, but the processing time and computational resources increase
Solution Approach 1:
The patent implements periodic action by updating location-specific top lists at regular intervals rather than continuously in real-time. The server collects position data and generates updated rankings at scheduled times, balancing the need for current information with the practical constraints of processing time and computational resources. This periodic update mechanism maintains reliability while avoiding excessive processing overhead.
Data Source
AI summary
Internet websites that are popular for users in a specific location are determined and displayed to a user of an electronic device. The popularity information may be of benefit to users in the location or to users of inherently portable devices, such as a mobile telephone or a laptop computer, that travel to the location. In one embodiment, position data relating to devices used to access websites is used to establish statistics regarding the most visited websites based on location. For instance, positioning data may be added to “webpage look-up/URL requests” that are made by the devices. This data may be transmitted to a server for deriving of the statistics.