Geolocation Impressions for Targeted Recommendations
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Solution Overview
Problem
Existing solutions for providing location-specific recommendations are unreliable and overwhelming, as they rely on subjective evaluations and often suggest numerous activities, failing to cater to visitors with limited time.
Innovation Solution
A system that allows users to tag and share geolocation impressions, such as voice recordings, images, or text messages, which are stored and made accessible to a designated audience when they are near the location, enabling targeted and time-efficient recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If anonymous review services like Yelp are used to provide location recommendations, then a large amount of information is available, but the reliability of the information deteriorates due to subjective evaluations from strangers
Solution Approach 1:
The system implements feedback by allowing users to evaluate and rate impressions from other users. This creates a trust mechanism where future users can see the credibility of impression providers through their network connections and ratings, resolving the contradiction between having many recommendations and ensuring their reliability.
Solution Approach 2:
The patent introduces social network relationships as an intermediary layer between strangers. Instead of direct anonymous reviews, recommendations are filtered through mutual friends and social connections, acting as a mediator that verifies and validates the reliability of information while maintaining quantity.
2Quantity of substance
If tourist brochures suggest many activities near a location, then the quantity of recommendations is high, but the usefulness deteriorates for visitors with limited time
Solution Approach 1:
The system applies local quality by providing personalized recommendations based on the specific user's profile, interests, and social network. Instead of generic brochures suggesting all possible activities, the system tailors recommendations to match the individual user's preferences and time constraints, making the information locally optimized for each user.
Solution Approach 2:
The patent segments the large set of available activities into personalized subsets based on user preferences, social connections, and contextual factors. This segmentation presents only the most relevant recommendations to each user, reducing the cognitive load and time needed to make decisions while maintaining quality.
3Loss of information
If subjective evaluations from strangers are used for recommendations, then information availability is high, but the precision and relevance deteriorate due to dissimilar interests
Solution Approach 1:
The system changes the parameters of information delivery by filtering and weighting recommendations based on multiple factors including social network relationships, user profiles, interests, and contextual data. This transforms the raw information from anonymous reviews into precision-tuned recommendations that maintain information availability while improving relevance through parameter-based filtering.
Data Source
AI summary
A method for geolocation impressions includes determining, at a first computing device, a geolocation of the first computing device. Impressions entered in a first display of the first computing device while the first computing device is within a predetermined area including the geolocation, are identified. A target audience entered in the first display is also identified. Information regarding the geolocation, the target audience, and the impressions are sent to a server device, for making the impressions viewable by the target audience in a second display at a second computing device associated with the target audience when the target audience is within the predetermined area.