18071791. MACHINE LEARNING BASED SOLUTION FOR SKILL AND RELATED SKILLS simplified abstract (SAP SE)

MACHINE LEARNING BASED SOLUTION FOR SKILL AND RELATED SKILLS

Organization Name

SAP SE

Inventor(s)

Sumanth Pulugu of Hyderabad (IN)

MACHINE LEARNING BASED SOLUTION FOR SKILL AND RELATED SKILLS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18071791 titled 'MACHINE LEARNING BASED SOLUTION FOR SKILL AND RELATED SKILLS

Simplified Explanation

The present disclosure involves systems, software, and computer implemented methods for generating a skill and related skill dataset based on machine learning. One example method includes receiving textual data, pre-processing the textual data to obtain pre-processed textual data, training a machine learning model using the pre-processed textual data, extracting a plurality of skills from the pre-processed textual data, generating a first plurality of skill pairs using the plurality of skills, and processing the first plurality of skill pairs through the machine learning model to generate a second plurality of skill pairs, where the second plurality of skill pairs is a subset of the first plurality of skill pairs.

• Receiving textual data
• Pre-processing textual data
• Training a machine learning model
• Extracting a plurality of skills
• Generating skill pairs
• Processing skill pairs through machine learning model

Potential Applications

This technology can be applied in various fields such as:

• Human resources for skill matching
• Education for personalized learning
• Content recommendation systems

Problems Solved

• Efficient skill extraction from textual data
• Automated skill pair generation
• Improved accuracy in skill matching

Benefits

• Time-saving in skill identification
• Enhanced skill dataset creation
• Increased efficiency in skill matching processes

Potential Commercial Applications

Optimizing Talent Management Systems for Skill Matching

Possible Prior Art

One possible prior art could be the use of natural language processing for skill extraction and matching in various applications.

Unanswered Questions

How does this technology handle multi-word skills or phrases in the textual data?

The method described in the abstract does not specifically address the handling of multi-word skills or phrases in the textual data. It would be interesting to know how the system differentiates and processes such complex skills.

What is the scalability of this technology for processing large volumes of textual data?

The abstract does not mention the scalability aspect of the technology for handling large datasets. Understanding the system's capability to scale up for processing significant amounts of textual data would be valuable information.

Original Abstract Submitted

The present disclosure involves systems, software, and computer implemented methods for generating a skill and related skill dataset based on machine learning. One example method includes receiving, by a server, textual data. The server pre-processes the textual data to obtain pre-processed textual data, and trains a machine learning model using the pre-processed textual data. The server extracts a plurality of skills from the pre-processed textual data, where each skill of the plurality of skills is a word or a phrase in the pre-processed textual data. The server generates a first plurality of skill pairs using the plurality of skills, and processes the first plurality of skill pairs through the machine learning model to generate a second plurality of skill pairs, where the second plurality of skill pairs is a subset of the first plurality of skill pairs.