Social Post Location Suggestions via Content Parsing

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Solution Overview

Problem

Users of social networking systems face inconvenience when manually entering locations on mobile devices, as existing predictive text algorithms do not account for user-specific information, leading to increased interaction complexity and irrelevant location suggestions in dense areas.

Innovation Solution

The system parses user input content to suggest relevant locations based on keywords, user location data, history, and feedback, refining suggestions to minimize user input and provide relevant options, allowing location selection during or after post composition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If users manually enter locations on mobile devices, then location information can be provided, but user interaction complexity increases and user convenience deteriorates

Engineering Contradiction:

Improveuser convenienceVSAvoidinteraction complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically generates location suggestions by parsing the user's post content and matching it with location data, allowing the system to serve itself rather than requiring manual user input for location selection

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-processes location data and creates suggestions before the user needs to post, so that when the user composes a post, relevant location options are already prepared and ready for selection

Inventive Principle:

Principle #10Preliminary action

2Productivity

If predictive text algorithms are used, then typing effort is reduced, but location suggestions become irrelevant in dense areas

Engineering Contradiction:

Improvetyping efficiencyVSAvoidlocation suggestion accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system uses feedback from the user's actual post content to refine and personalize location suggestions, continuously improving accuracy by learning from user behavior and content patterns

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts location suggestion parameters based on user-specific factors such as posting history, location preferences, and content analysis, transforming static predictive text into adaptive, context-aware suggestions

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If all nearby locations are suggested in dense areas, then location options are comprehensive, but noise increases and relevance decreases

Engineering Contradiction:

Improvelocation option coverageVSAvoidsignal-to-noise ratio

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system applies different filtering and weighting criteria to location suggestions based on local context and user-specific patterns, making the suggestion quality adaptive to each user and situation rather than applying uniform rules

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS10057359B2Location suggestion based upon social networking post content

Publication Date: 2018.08.21 META PLATFORMS INC

AI summary

Exemplary methods, apparatuses, and systems receive input associated with a social networking system user account. The input includes content to be published to the social networking system. In response to the received input, one or more location suggestions are identified based upon the content. The one or more identified location suggestions are transmitted to a user device associated with the user account. Selection of a location suggestion is received. The content and selected location is published as a post within the social networking system.