Hyperlocal Information Delivery via Profile Matching
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Solution Overview
Problem
Traditional print media, especially those with a strong local focus, face challenges in effectively delivering hyperlocal information to users due to their small distribution areas and low user numbers, as existing methods developed for larger digital platforms are not easily transferable.
Innovation Solution
A computer-implemented method that utilizes user and provider profiles, categorized by geolocation and interests, to deliver hyperlocal information to users based on their geolocation, matching categorized user selection criteria with geolocal provider criteria, and transmitting relevant information to output devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional print media methods are used for information delivery, then local information can be distributed to users, but the information cannot be precisely targeted to individual users within the local area
Solution Approach 1:
The system segments the local area into hyperlocal zones using geolocation data, and segments information into categorized provider selection criteria. User profiles are created by categorizing their information retrieval actions, enabling precise targeting of information to specific users in specific hyperlocal areas rather than broad distribution to all users.
Solution Approach 2:
The system changes the parameter of information delivery from non-personalized mass distribution to personalized targeted delivery by introducing geolocation coordinates and categorized user interest parameters. Provider profiles include geolocation and categorized criteria, while user profiles contain categorized selection criteria based on their retrieval actions, enabling parameter-based matching.
2Adaptability or versatility
If methods developed for large-scale digital platforms are applied to narrow local areas, then information delivery infrastructure can be utilized, but the methods are not easily transferable due to low user numbers
Solution Approach 1:
The system creates a universal framework that works for both large-scale and narrow local areas by using standardized geolocation coordinates and categorized criteria. The same technical infrastructure and processing logic can serve diverse scenarios from city-wide to neighborhood-level distribution, making the method adaptable across different user quantity scales.
Solution Approach 2:
The system applies local quality by tailoring information delivery to specific hyperlocal areas with distinct user profiles and provider profiles. Each local area can have its own set of categorized criteria and user preferences, allowing the universal system to adapt to local characteristics while maintaining overall consistency.
3Ease of operation
If hyperlocal information is delivered to all users in a local area, then information accessibility is improved, but information relevance to individual user interests deteriorates
Solution Approach 1:
The system uses feedback from user information retrieval actions to build and update user profiles. By categorizing what information users retrieve, the system learns user interests and preferences, then uses this feedback to filter and personalize subsequent information delivery, ensuring both accessibility and relevance.
Solution Approach 2:
The system performs preliminary action by pre-categorizing provider profiles with geolocation and categorized selection criteria before user queries. User profiles are pre-built by analyzing their retrieval actions, so when information requests occur, the matching and filtering have already been prepared, enabling rapid personalized delivery.
Data Source
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AI summary
The invention relates to a computer-implemented method for the hyperlocal output of information. User profiles are stored in a user profile database. Each user profile includes at least one categorized user selection criterion that corresponds to the user's interests. Furthermore, provider profiles are stored in a provider database. Each provider profile includes information about the provider's geographic location and at least one categorized provider selection criterion. This criterion corresponds to areas of interest into which information, such as the provider's offers, is classified. Hyperlocal information, such as an offer from the provider, is linked to each provider profile. First, the user's geographic location is determined, and then providers located within a hyperlocal area around the user are identified.A comparison is then made between categorized user selection criteria and categorized provider selection criteria. If the categorized user selection criteria and categorized provider selection criteria correlate, the hyperlocal information is displayed to the user. Since the user is in close proximity to the provider during the display, the user can immediately contact the provider and take advantage of the provider's offer.