17979277. RECOMMENDATION ALGORITHM-BASED PROBLEM ACTION SUGGESTION SYSTEM AND METHOD THEREOF simplified abstract (HYUNDAI MOTOR COMPANY)
RECOMMENDATION ALGORITHM-BASED PROBLEM ACTION SUGGESTION SYSTEM AND METHOD THEREOF
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RECOMMENDATION ALGORITHM-BASED PROBLEM ACTION SUGGESTION SYSTEM AND METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 17979277 titled 'RECOMMENDATION ALGORITHM-BASED PROBLEM ACTION SUGGESTION SYSTEM AND METHOD THEREOF
Simplified Explanation
The patent application describes a recommendation algorithm-based problem action suggestion system. Here are the key points:
- The system receives text data about abnormality occurrences in production equipment or products from a user terminal.
- It manages a database of past action history related to abnormality occurrences.
- The text data is converted into numerical data for processing by a recommendation algorithm.
- The system calculates the similarity between the numerical data and the problem action data in the database.
- It suggests action methods to the user terminal based on the probability of solving the problem.
Potential applications of this technology:
- Manufacturing industry: The system can be used to provide recommendations for troubleshooting and resolving issues with production equipment.
- Customer support: It can assist customer support teams in suggesting appropriate actions to resolve product-related problems.
- Quality control: The system can help identify and address abnormalities in products, improving overall quality control processes.
Problems solved by this technology:
- Lack of knowledge: The system leverages past action history to provide recommendations, helping users who may not have extensive knowledge or experience in problem-solving.
- Time-consuming troubleshooting: By suggesting action methods in order of higher probability of solving the problem, the system can save time and effort in troubleshooting processes.
- Inconsistent problem resolution: The system ensures a consistent approach to problem-solving by suggesting proven action methods based on past data.
Benefits of this technology:
- Improved efficiency: By suggesting action methods based on past data, the system can help users quickly identify and resolve problems, leading to improved efficiency in various industries.
- Enhanced problem-solving capabilities: The system leverages recommendation algorithms to provide users with effective action methods, expanding their problem-solving capabilities.
- Knowledge sharing: The database of past action history allows for knowledge sharing and learning from previous experiences, benefiting both individual users and the organization as a whole.
Original Abstract Submitted
A recommendation algorithm-based problem action suggestion system includes a query input unit configured to extract text data for each item in user's query information received from a user terminal in abnormality of a device of production equipment or a product, a database unit configured to manage a past action history of workers with respect to abnormality occurrence of the device into a database (DB) of problem action data, and a controller configured to perform a pre-processing work for converting the text data into numerical data that may be processed by the recommendation algorithm, to obtain similarity between the numerical data and the problem action data of the database unit and to suggest action methods to the user terminal in an order of higher probability of solving the problem.
