Location-Based Content Filtering for Merged Browsing
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Solution Overview
Problem
Current MashUp editors require manual creation and uploading of combined web content, lacking efficient location-based filtering and advertising enhancements for enhanced user experience in merged browsing of network contents.
Innovation Solution
A system where client devices obtain geographic locations to filter and prioritize network content fragment suggestions based on location, with servers providing these suggestions and advertisements to clients for integrated browsing, allowing advertisers to specify and prioritize content for display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MashUp editors manually create and upload combined web content, then content can be displayed on web servers, but the process lacks efficiency and user experience is not enhanced with location-based filtering
Solution Approach 1:
The system automatically performs content aggregation, filtering, and MashUp creation without requiring manual editor intervention. Client devices automatically obtain geographic locations and receive filtered content suggestions from servers, eliminating the need for manual content assembly and upload processes.
Solution Approach 2:
The server pre-filters and prioritizes network content fragments based on geographic location before presenting them to users. This preliminary processing eliminates the need for manual content selection and preparation, significantly improving content creation efficiency while enhancing user experience through location-relevant content.
2Measurement precision
If location-based filtering is implemented, then content relevance is improved, but system complexity increases
Solution Approach 1:
The server acts as an intermediary that handles the complex task of location-based filtering and content prioritization. Client devices simply obtain their geographic location and receive pre-processed content suggestions, offloading the computational complexity to the server while maintaining high content relevance.
3Adaptability or versatility
If advertisers can specify and prioritize content, then targeted advertising is enabled, but device complexity increases
Solution Approach 1:
The server mediates between advertisers and users by processing advertising specifications and prioritizing content fragments accordingly. This centralized approach enables sophisticated targeted advertising capabilities while keeping client devices simple, as all complex advertising logic is handled on the server side.
Data Source
AI summary
Location-based filtering and advertising enhancements for merged browsing of network content are described herein. In various embodiments, a client device may obtain its geographic location and provide that location to a server for filtering by the server of network content fragment suggestions based at least in part on the location. The client device may then receive some or all of the filtered suggestions for utilization in merged browsing. In some embodiments, a server may further receive an indicator of content being browsed. In response, the server may determine network content fragment suggestions, and may also determine an additional suggestion or prioritize a suggestion based an advertiser's interest. The server may then provide the suggestions and/or prioritization to the client device. In various embodiments, the server may also provide the advertisement(s) for display in a user interface of the client device along with the (prioritized) suggestions.