Location Input Normalization for Content Aggregation
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Solution Overview
Problem
Different social media and content providers have varying formatting requirements for location inputs, making it difficult to aggregate content based on location due to incompatibilities and resulting in over-inclusive or under-inclusive search results.
Innovation Solution
A system that processes location inputs using a computer with modules for geofeed creation, geo-location processing, correction, communication, and user interface, normalizing inputs to be compatible with diverse provider formats and adjusting for artifacts such as zip codes, ensuring scalable and accurate content aggregation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single location input format is used, then compatibility with individual content providers is improved, but the ability to aggregate content from multiple providers with different formats deteriorates
Solution Approach 1:
The patent introduces a standardized location input format as an intermediary between diverse content provider formats and the content aggregation system. This mediator format enables translation and normalization of various provider-specific formats without requiring the aggregation system to handle each format individually, thus improving compatibility while managing complexity.
Solution Approach 2:
The patent transforms location inputs by changing their format parameters to match standardized expectations. Different content providers' location formats (varying in structure, precision, and representation) are converted to a unified parameter set, enabling consistent processing across multiple sources.
2Measurement precision
If location inputs are normalized to standard formats, then content aggregation accuracy is improved, but artifacts such as over-inclusive and under-inclusive results are introduced
Solution Approach 1:
The patent implements feedback mechanisms that monitor the results of location input normalization. When artifacts such as over-inclusive or under-inclusive results are detected, the system adjusts its processing approach, refining the normalization parameters to reduce artifacts while maintaining accuracy.
Solution Approach 2:
The patent applies partial normalization strategies where location inputs are transformed to the extent necessary to achieve compatibility, rather than complete standardization. This selective approach reduces the introduction of artifacts while still enabling effective content aggregation across different providers.
Data Source
AI summary
The disclosure relates to systems and methods for processing a location input that specifies one or more geographically definable locations for input to individual ones of a plurality of social media or other content providers that have different input formats for specifying locations. A geo-location input may be normalized to an input format that conforms to a particular content provider, which may use a format for the geo-location input that is different that a format used by another content provider. The formatted geo-location input may be communicated to the particular content provider to obtain content from the content provider. The formatting may result in artifacts such as over-inclusive results having excess content and/or under-inclusive results that omit content that should have been provided. The obtained content obtained may corrected based on a determination of whether the content is over-inclusive and/or under-inclusive by removing obtained content and/or adding new content.