International Business Machines Corporation

Stephen Mitchell

Scott N Gerard

David Glenn George

Al Chakra

John Arthur Medicke

Abhay Choudhary

Goutham Siddharthan Balu

Paul Charles James Dunning

Smitashree Choudhury

Wing Yin Leung

Nathaniel Hughes

Matthew Morehouse

Jacek Adam Piskorski

A method, computer system, and a computer program product for semantic matching is provided. The present invention may include pre-processing and normalizing a job title. The present invention may include deconstructing the job title based on at least one semantic element. The present invention may include training a machine learning model. The present invention may include creating a contextual word representation of the job title using the at least one semantic element of the job title. The present invention may include computing a similarity score for each of the at least one semantic element of the job title. The present invention may lastly include applying a weight to the computed similarity score before making a final match assessment.

Semantic matching of job titles with limited contexts

A computer-implemented method, a computer program product, and a computer system for determining skill adjacencies using a machine learning model. A computer calculates first similarity scores between first skill vectors obtained from one or more training datasets and second similarity scores between the first skill vectors and skill category vectors pre-calculated from job requisitions, using both a reference corpus word embedding model and a target corpus word embedding model. The computer generates features extracted from the first similarity scores and the second similarity scores. Based on the features, the computer trains a machine learning model for classifying combinations of skills as adjacent and non-adjacent. The machine learning model is used to determine skill adjacencies between skills extracted from the job requisitions and skills extracted from resumes.

Determining skill adjacencies using a machine learning model

A system and method for heating a surface. The system can be a solar panel system and the surface can be a solar panel. The system includes a heat source and a processor. The processor determines an amount of heating energy for removing an accumulated material from the solar panel to obtain an unobstructed solar panel, determines an amount of energy production of the unobstructed solar panel, and controls the heat source to apply the determined amount of heating energy to the solar panel when the determined amount of energy production is greater than the amount of heating energy.

Optimal surface temperature management

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Chapel Hill, NC, United States of America

Stephen Mitchell