Continuous Scoring Model for Location Awareness
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Solution Overview
Problem
Users unfamiliar with a geographic area face limitations in using search engines to discover features of interest, as they need to specify an initial location, restricting their ability to browse or find entities based on higher-level preferences or semantic interests.
Innovation Solution
Systems and methods for determining continuous scoring models that describe semantic features of a geographic area, allowing users to obtain feature values at any location or area, enabling comparisons and identification of areas with desired characteristics, such as dining or entertainment scores, through continuous functions representing feature values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a user specifies an initial location to enable location-based searching, then the search engine can filter and return relevant entities based on relative location, but the user's ability to browse or discover entities in unfamiliar geographic areas is limited
Solution Approach 1:
The system pre-calculates and stores semantic feature scores (dining, entertainment, shopping, etc.) for multiple geographic locations in advance, creating a database of scored locations that can be quickly retrieved and presented to users without requiring them to specify an initial location. This preliminary computation enables users to browse and discover entities in unfamiliar areas based on their feature preferences.
2Loss of information
If the system provides detailed feature information for specific locations, then users can make informed decisions about places of interest, but the system cannot provide comprehensive coverage of multiple geographic areas simultaneously
Solution Approach 1:
The system uses semantic scoring to transform geographic space into a multi-dimensional feature space, where each location is represented by scores across multiple features (dining, entertainment, shopping, etc.). This parameter transformation allows the system to efficiently represent and compare multiple geographic areas simultaneously while maintaining detailed feature information, enabling users to query and browse across broad regions without sacrificing information completeness.
Data Source
AI summary
Systems and methods are provided for determining continuous scoring models that describe one or more features regarding a geographic area. The scoring models can be fit to incorporate information from both point sources as well as area information. Based on the scoring models, a user can obtain feature values for the one or more features at any desired location or for a desired geographic area. Because the features are represented by a continuous function, comparisons of feature values for arbitrary geographic areas and/or combinations of features to form secondary values can also be performed.