Web Browser Quick-Access Field Geolocation Ranking
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Solution Overview
Problem
Existing web browsers often provide an initial quick-access field that is either empty or populated with pre-defined websites irrelevant to the user's preferences, requiring manual configuration or waiting for the browser to learn user habits, which can be inconvenient.
Innovation Solution
A method to populate the quick-access field with websites relevant to the user's geographical location and browsing history, using geographical data and browser history to rank and select websites for display, with a combination of fixed and variable bookmarks based on popularity and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the quick-access field is pre-filled with fixed websites, then the field is initially populated, but the websites may be irrelevant to the user's preferences
Solution Approach 1:
The system performs preliminary actions by pre-filling the quick-access field with websites based on the user's geographical location before the user even uses the browser. This allows the field to be immediately useful upon installation, eliminating the need for users to manually configure it or wait for the browser to learn their habits.
Solution Approach 2:
The system changes the parameter of website selection from fixed/pre-defined to dynamic/geographically-based. By using the user's geographical location as a variable parameter, the system automatically selects websites that are relevant to the user's location, such as local news, weather, and services, making the quick-access field adaptable to different users without manual configuration.
2Adaptability or versatility
If the quick-access field is left empty, then user preferences are not assumed, but the user must manually configure it or wait for automatic learning
Solution Approach 1:
The system performs the configuration action preliminarily by automatically populating the quick-access field with geographically relevant websites before the user needs it. This eliminates the time loss associated with manual configuration or waiting for the browser to learn user habits, as the field is already optimized for the user's location upon first use.
3Device complexity
If websites are selected based on general popularity, then the selection process is simple, but the results may not reflect individual user needs
Solution Approach 1:
The system applies local quality by selecting websites based on the user's specific geographical location rather than using a uniform approach for all users. This means that users in different locations receive different website recommendations tailored to their local context, such as local news outlets, weather services, and regional businesses, thereby achieving user-specific relevance with a relatively simple geolocation-based method.
Data Source
AI summary
A method of selecting websites for displaying in a quick-access field in a web browser is provided. The method includes receiving an indication of user's geographical data and selecting websites from two sub-sets of websites. The first subset of websites is based on popularity amongst other users associated with the user's geographical data. The second subset of websites is based on user's browsing history. Each of the web sites gets ranked based on: a first rank based on a popularity of the given website among some of users associated with the geographical data and a second rank for the given website based on the browser history data associated with the user. The method further includes generating a combined rank based on the first and second rank for each website from the first and second set of websites and using the combined rank for selecting web sites for display.