Prioritizing Points of Interest via Linker Entity Ratings
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Solution Overview
Problem
Existing systems for providing points of interest to users tend to prioritize locations within familiar geographic regions, limiting the presentation of unfamiliar regions, as users primarily rate and engage with local points of interest.
Innovation Solution
A system that identifies linker entities familiar with both the user's and unfamiliar geographic regions, uses these entities' ratings to prioritize points of interest, and presents a subset of these to the user, increasing the visibility of unfamiliar regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system prioritizes points of interest based on user's familiar geographic regions and local ratings, then the relevance and reliability of recommendations are improved, but the diversity and coverage of unfamiliar regions deteriorate
Solution Approach 1:
The patent introduces 'linker entities' as intermediaries between users and unfamiliar geographic regions. These linker entities are users who have rated POIs in both the user's familiar region and the target unfamiliar region, serving as bridges to transfer trust and relevance information across geographic boundaries. This mediator approach allows the system to recommend POIs in unfamiliar regions while maintaining reliability through the linker entity's established rating behavior.
Solution Approach 2:
The patent changes the parameter basis for recommendation from purely local/geographic proximity to include cross-regional linker entity ratings. By modifying the recommendation algorithm to weight and incorporate ratings from linker entities, the system adjusts its parameter selection to balance familiarity-based reliability with unfamiliar region coverage, thereby resolving the contradiction between relevance and geographic diversity.
2Manufacturing precision
If the system focuses on points of interest with high user engagement and ratings, then the quality of recommendations is improved, but the visibility of less popular but potentially valuable locations deteriorates
Solution Approach 1:
Linker entities serve as mediators that amplify the visibility of less popular POIs in unfamiliar regions. When a linker entity rates a POI, their established credibility transfers trust to that POI, allowing it to gain visibility despite having fewer overall ratings. This intermediary mechanism enables high-quality recommendations to include lesser-known locations that would otherwise be obscured by the dominance of highly popular POIs.
Solution Approach 2:
The system implements feedback loops where linker entity ratings are continuously incorporated into the recommendation algorithm. This feedback mechanism ensures that POIs rated by linker entities receive ongoing visibility and adjustment in recommendation rankings, preventing less popular but quality locations from being permanently overshadowed by more popular alternatives.
Data Source
AI summary
Various aspects of the subject technology relate to systems, methods, and machine-readable media for prioritizing points of interest. A system is configured to receive a plurality of points of interest (POIs) selected for a user, identify at least one point of interest in the plurality of POIs that has been assigned a rating by a linker entity that is associated with a first geographic region that is associated with the user and a second geographic region that is not associated with the user, prioritize the at least one identified point of interest, and select, based on the prioritizing, a subset of the plurality of POIs to be presented to the user.