Non-Intrusive Mobile Message Delivery via Local Profile Filtering
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Solution Overview
Problem
Current mobile advertising models are intrusive and fail to respect user privacy, as they do not account for individual user contexts and interests, leading to a lack of user customization and trust.
Innovation Solution
A method for non-intrusive message delivery on mobile devices that involves identifying messages based on user profiles, filtering and selecting ads according to real-time data, and obtaining user consent before displaying them, ensuring relevance and privacy through local data storage and anonymous data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional broadcasting models are used to deliver messages to a large population, then message delivery coverage is improved, but user privacy is violated and user experience becomes intrusive
Solution Approach 1:
The patent applies local quality by transitioning from mass broadcasting to highly targeted message delivery based on individual user profiles stored locally on devices. Each user receives customized messages according to their specific characteristics, interests, and context, eliminating unnecessary intrusion on users who are not relevant targets while maintaining effective communication with interested users.
Solution Approach 2:
The system enables self-service through user profile management where users control their own data and message reception preferences. Users can manage their profiles, select interests, and control which messages they receive, giving them autonomy over their advertising experience rather than being passively targeted by external services.
2Speed
If messages are displayed without user consent or interaction, then message delivery speed is improved, but user acceptance and trust are reduced
Solution Approach 1:
The patent implements preliminary action by pre-configuring user profiles with interests, preferences, and contextual information before message delivery. This allows the system to rapidly select and deliver highly relevant messages without requiring real-time user input, maintaining both speed and user acceptance through pre-established relevance criteria.
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions with messages (acceptance, rejection, engagement) are fed back into profile management. This continuous feedback loop enables the system to learn user preferences and improve message relevance over time, building trust through adaptive personalization while maintaining fast delivery through automated profile-based selection.
3Manufacturing precision
If personal data is transmitted to servers for message selection, then message relevance is improved, but user privacy is compromised
Solution Approach 1:
The patent applies copying by creating localized copies of user profiles and message content directly on end-user devices rather than relying on centralized server storage. This allows high-precision message relevance through local profile analysis while eliminating the need to transmit sensitive personal data to external servers, as all processing occurs locally with only anonymous aggregate data shared with advertisers.
4Productivity
If advertisements are displayed at all times regardless of user context, then advertising volume is improved, but user experience becomes intrusive and less effective
Solution Approach 1:
The system implements dynamics by making advertisement delivery adaptive and context-aware rather than static. Messages are dynamically selected and timed based on real-time user context, location, activity state, and profile information. This ensures advertisements are delivered only when and where they are most relevant, improving user experience quality while maintaining effective advertising volume through intelligent timing and placement.
Data Source
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AI summary
System and method for non intrusive delivery of messages to a device Prim'Vision A method for non intrusive delivery of messages to a device, characterized in that it comprises the steps of: • at a server: - identifying messages according to historical data received from at least the device and - sending the identified messages to the device through a network, • at the device: - receiving the messages, - filtering, in function of a user's profile stored in storage means of the device, retained messages to be stored in storage means of the device and messages to be removed from the device, - storing retained messages in storage means of the device, - detecting (1) an interstitial event, - determining (2) whether said interstitial event matches at least one interstitial event type defined by user's profile stored in the device, - if said interstitial event matches at least one interstitial event type defined by the user's profile, selecting (3) among said retained messages a message matching said user's profile, - displaying (4) on the device a message invitation, the message invitation comprising a request for a consent from the user (5), - in case the device receives a consent from the user, then displaying (5) on the device a main part of said selected message, - creating or updating locally a log tracing the user behaviour in regard to the request for consent, - updating on the device said user's profile with said log.