User Technology Identification via Keyword Context Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Sales and marketing teams face challenges in identifying and targeting the right customers due to the unstructured and diverse nature of digital data, leading to wasted efforts and resources on uninterested leads.
Innovation Solution
A system and method that determine the technology used by a user by receiving user data, identifying technology categorization data, extracting keywords and buffer keywords, determining the context, and comparing these with a predefined pattern sheet to validate the technology used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual methods such as speed networking, trade fairs, and conferences are used for lead generation, then human interaction and relationship building are improved, but time consumption and resource waste increase
Solution Approach 1:
The patent replaces manual lead generation methods (speed networking, trade fairs, conferences) with an automated computer-based system that processes user data, extracts keywords, determines technology contexts, and identifies leads through algorithmic matching, thereby eliminating the time-consuming manual processes while maintaining effective lead identification
Solution Approach 2:
The system enables automated self-service lead generation by automatically receiving user data, processing it through keyword extraction and context determination, comparing against predefined patterns, and generating lead identification results without requiring human intervention in the core processing steps
2Measurement precision
If comprehensive data analysis is performed to identify the right customers, then lead identification accuracy is improved, but computational resources and processing time increase
Solution Approach 1:
The patent segments the data analysis process into distinct modular steps: receiving user data, identifying technology categorization data, extracting keywords, determining context for each keyword, comparing with predefined pattern sheets, and validating technologies. This segmentation allows each step to process only necessary information, improving accuracy while controlling computational resource usage
Solution Approach 2:
The system performs partial analysis by focusing on extracting and analyzing only the most relevant keywords and their contexts from user data, rather than processing entire documents or datasets. This selective approach maintains high lead identification accuracy while significantly reducing computational resource requirements
Data Source
AI summary
A system and a method to determine a technology used by a user is disclosed. The system receives user data comprising job titles, skills, and job summaries. Further, technology categorization data is generated based on the user data. The technology categorization data comprises technology category and technology subcategory mapped to a user department and a user division. The system further extracts a keyword and a set of buffer keywords from the user data. Subsequently, the system determines a context of the user data based on the set of buffer keywords of the keyword. The technology used by the user may be determined upon comparing the keyword and the context with a predefined pattern sheet. The system validates the technology with the technology categorization data.