Location-Based Contextual Hashtag Retrieval System

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Users of mobile devices lack efficient access to real-time, location-specific information, as existing systems do not effectively incentivize users to post about specific topics, and traditional methods do not provide timely notifications or search results for places of interest.

Innovation Solution

A method and system that provide location-based contextual hashtags to users by identifying their physical location, determining relevant categories, and retrieving hashtags from databases based on the location and category, which includes automatic, manual, and query hashtags, and storing information about places of interest, categories, and hashtags in a database.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If fixed format approaches are used to provide location-specific information, then information structure is well-defined and easy to manage, but user flexibility and engagement are reduced

Engineering Contradiction:
Improveinformation structure managementVSAvoiduser flexibility
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patent segments information into structured metadata fields (name, address, category, hours) and unstructured freeform content (social streams, user-generated posts). This allows the system to maintain well-defined schemas for core information while permitting flexible user expressions in designated freeform areas, resolving the contradiction between structure and flexibility.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces hashtags as an intermediary element that bridges fixed format and freeform approaches. Hashtags provide a structured tagging system that can be applied to unstructured social content, enabling both systematic organization and user flexibility simultaneously.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If freeform approaches are used to mine information from social streams, then user flexibility and information richness are improved, but information structure and reliability are reduced

Engineering Contradiction:
Improveuser flexibilityVSAvoidinformation reliability
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where user-generated freeform content is analyzed, validated, and used to refine the structured metadata and hashtag suggestions. This continuous feedback loop improves information reliability by filtering and structuring unstructured data while preserving user flexibility in content creation.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

Hashtags serve as an intermediary layer between freeform social content and structured information systems. They provide a standardized vocabulary that enhances the reliability of unstructured data while maintaining user flexibility in expression.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of time

If location-based contextual hashtags are provided in real-time, then timeliness and relevance of information are improved, but system complexity and processing requirements increase

Engineering Contradiction:
Improveinformation timelinessVSAvoidsystem complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent pre-generates and caches hashtags, categories, and place information before they are needed. When a user queries location-based information, the system retrieves pre-processed data rather than generating it in real-time, significantly reducing processing complexity while maintaining information timeliness.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements location-based filtering that provides different hashtag sets and information quality levels based on the user's specific geographic context. This local quality approach reduces overall system complexity by only processing and retrieving relevant information for each location rather than maintaining universal real-time processing capabilities.

Inventive Principle:
Principle #3Local quality

4Loss of information

If comprehensive hashtag databases are maintained for multiple places and categories, then information completeness and search capability are improved, but data storage and management complexity increase

Engineering Contradiction:
Improveinformation completenessVSAvoiddata management complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the hashtag database into category-specific and location-specific subsets. This segmentation allows the system to maintain comprehensive information by organizing data into manageable segments that can be independently managed, retrieved, and updated, reducing overall data management complexity while preserving completeness.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent organizes the hashtag database along multiple dimensions (categories, locations, user preferences) rather than a single flat structure. This multi-dimensional organization enables efficient retrieval and management of comprehensive data by allowing queries to filter along any dimension, reducing management complexity through structured hierarchy.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS10311119B1Determining location-based contextual hashtags
Publication Date: 2019.06.04 GOOGLE LLC
  • US10311119B1 patent drawing
  • US10311119B1 patent drawing
  • US10311119B1 patent drawing

AI summary

Implementations generally relate to hashtags. In some implementations, a method includes providing one or more location-based contextual hashtags to a user by receiving, from a first user device associated with a first user, information indicative of a physical location of the first user device. The method further includes identifying, with one or more processors, a place of interest based on the information indicative of the physical location of the first user device. The method further includes determining a category associated with the place of interest. The method further includes retrieving one or more hashtags from one or more databases based on the place of interest or the category associated with the place of interest. The method further includes providing the one or more hashtags and information about the place of interest to the first user device.