18434383. GENERATING AND PRESENTING A SEARCHABLE GRAPH BASED ON A GRAPH QUERY simplified abstract (Microsoft Technology Licensing, LLC)
Contents
- 1 GENERATING AND PRESENTING A SEARCHABLE GRAPH BASED ON A GRAPH QUERY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GENERATING AND PRESENTING A SEARCHABLE GRAPH BASED ON A GRAPH QUERY - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
GENERATING AND PRESENTING A SEARCHABLE GRAPH BASED ON A GRAPH QUERY
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Paul Pangilinan Del Villar of Bothell WA (US)
Mohamed Abdelrhman Mostafa Ali Elfeki of Renton WA (US)
Pramod Kumar Sharma of Seattle WA (US)
Nilgoon Zarei of Kirkland WA (US)
GENERATING AND PRESENTING A SEARCHABLE GRAPH BASED ON A GRAPH QUERY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18434383 titled 'GENERATING AND PRESENTING A SEARCHABLE GRAPH BASED ON A GRAPH QUERY
Simplified Explanation
The present disclosure involves selectively analyzing digital content items from a social networking system to create a searchable graph object that visualizes correlations between entities of interest, concepts, hashtags, and other output classes.
- Collecting publicly available images and videos from a social networking platform
- Evaluating content and metadata to identify entities of interest and predict concepts
- Generating a graph object that allows for a searchable matrix
- Processing graph queries to show correlations between the query and various output classes
Potential Applications
This technology could be applied in market research, social media analytics, trend analysis, and content recommendation systems.
Problems Solved
This technology helps in understanding relationships between different entities and concepts in digital content, making it easier to extract valuable insights from large datasets.
Benefits
The system provides a visual representation of correlations, making it easier for users to interpret complex data and make informed decisions based on the insights gained.
Potential Commercial Applications
Potential commercial applications include social media monitoring tools, advertising platforms, and data analysis services for businesses looking to understand consumer behavior and market trends.
Possible Prior Art
One possible prior art could be text mining and sentiment analysis tools used in social media analytics to extract insights from textual data.
Original Abstract Submitted
The present disclosure relates to selectively analyzing digital content items from a social networking system to generate a searchable graph object that facilitates visualization of correlations between entities of interest (e.g., brands, products, services, companies), concepts (e.g., domain-specific and/or general terms), hashtags, and other output classes. For example, systems described herein involve collecting images and/or videos that are publicly available via a social networking platform and evaluating content and metadata thereof to identify entities of interest therein and predict various concepts therein to generate a graph object that provides a searchable matrix. The systems herein provide a mechanism for processing a graph query that presents a relational graph showing correlations between the query and the various output classes.
