Context-Sensitive Widget Ranking System
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Solution Overview
Problem
Social networking users face difficulty in identifying the most relevant applications or widgets among numerous operations available on social network platforms, as the increasing number of operations makes it hard to discern which are most applicable to their current context, location, and intentions.
Innovation Solution
A context-sensitive content selection system dynamically selects and prioritizes applications or widgets based on individual weights assigned to each, considering temporal elements, user location, proximity to friends, and inferred user intent, using a data-driven weighting system to update and display the most relevant content on a user's interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of operations on social network platforms is increased to provide more value to users, then the functionality and value to users is improved, but it becomes harder for users to identify which operations are most relevant to them
Solution Approach 1:
The patent applies local quality by dynamically adjusting the visibility and priority of specific operations based on user context. Different operations are highlighted or suppressed depending on the user's current situation, location, time, and social context, making the interface adapt to local needs rather than presenting a uniform set of all available operations
Solution Approach 2:
The system implements dynamics by continuously updating the presentation of operations based on real-time context changes. As user context evolves (location changes, time progresses, social connections are updated), the relevance ranking of operations dynamically adjusts, ensuring the most pertinent operations are always prominently displayed
2Ease of operation
If context-sensitive weighting and dynamic selection systems are implemented to improve content relevance, then user experience is enhanced, but system complexity increases
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing context parameters and their associated weights. Context data such as user preferences, historical behavior patterns, and relationship metrics are pre-processed and stored for rapid retrieval during runtime, avoiding the need for complex real-time calculations when presenting operations
Solution Approach 2:
An intermediary ranking system is introduced that acts as a mediator between the user and the full set of available operations. This intermediary layer processes context information and generates a simplified, relevance-ranked presentation of operations, shielding users from the underlying system complexity while delivering personalized results
Data Source
AI summary
Disclosed are systems, methods, and computer-readable storage media for displaying widgets. In some aspects, criteria for ranking widgets may be dynamically evaluated based on conditions associated with each widget. In some aspects, the conditions may consider a time or location of an event a social network user is scheduled to attend, and a relation to that time and location to a current time and/or current user location. Evaluation of the conditions may contribute to the determination of weights for each of the respective widgets, with the ranking based on the weights. Widgets with the highest rank may be invoked, and selectively displayed on an electronic display. Multiple possible parameter values for the displayed widgets may also be dynamically ranked and selected values applied when invoking the widget.