Contextual Tag Filtering for Mobile Content Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing content filtering systems on mobile devices rely on static criteria, which do not adapt to changes in context, leading to inappropriate content being presented to users based on static tags, such as genre, regardless of the current environment or context.
Innovation Solution
A system and method for contextually filtering content on mobile devices using contextual tags that define specific contextual behaviors based on the device's current context, allowing users to control which content is presented based on sensed conditions like location, time, or user interaction, enabling adaptive filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static-based filtering criterion is used, then content can be organized into manageable subgroups, but the filtering system cannot adapt to changes in environment or context
Solution Approach 1:
The patent applies dynamics by transforming static filtering criteria into dynamic contextual tags that automatically adapt to changing environments. Contextual tags incorporate temporal, spatial, and situational dimensions, allowing content filtering to evolve with context changes without requiring complex manual reconfiguration. For example, a contextual tag can automatically adjust based on time of day, location, or device state, making the system adaptive while maintaining manageable complexity through automated context sensing.
2Ease of operation
If comprehensive content is provided without filtering, then all desired media content is available, but users must navigate through large and unmanageable media file listings
Solution Approach 1:
The patent applies segmentation by dividing content into manageable subgroups based on contextual tags. Instead of presenting users with a single large unmanageable list, the system segments content according to multiple contextual dimensions (time, location, situation, etc.), allowing users to access relevant subsets of content efficiently. This maintains comprehensive content availability while improving ease of operation through context-based organization.
Solution Approach 2:
The patent adds contextual dimensions (temporal, spatial, situational) to the traditional flat content structure. By organizing content along multiple contextual axes rather than a single hierarchical level, the system enables users to navigate and access content more efficiently. This dimensional enrichment allows comprehensive content to be presented in manageable, context-relevant groupings without losing any content.
3Reliability
If all content tagged with a genre is filtered equally, then the filtering process is simple, but contextually inappropriate content is still presented to users
Solution Approach 1:
The patent applies parameter changes by transforming single-dimensional genre tags into multi-parameter contextual tags. Each contextual tag incorporates multiple parameters (time, location, situation, user state) that work together to determine content appropriateness. This allows the system to differentiate between contextually appropriate and inappropriate content within the same genre, improving reliability while managing complexity through automated context evaluation rather than complex manual filtering logic.
Data Source
AI summary
A system and method of contextually filtering content presented to a user on a mobile device based on contextual tagging. The user controls how content will be filtered by the mobile device by creating contextual tags and associating or tagging content with the contextual tags. The contextual tag includes a contextual behavior that is either satisfied or not based on the current context of the mobile device. During operation, content accessible to the mobile device is searched to determine which contextual tags are met based on the current context of the mobile device. Content tagged with contextual tags whose behavior is currently met based on the current context of the mobile device are filtered and presented to the user. This allows the automatic presentation of a more manageable subgroup of content to the user on the mobile device based on the current context of the mobile device.


