SELECTING RECOMMENDATIONS BASED ON TITLE TRANSITION EMBEDDINGS

The disclosed embodiments provide a system for selecting recommendations based on title transition embeddings. During operation, the system obtains a word embedding model of a set of job histories. Next, the system calculates similarities between pairs of the embeddings produced by the word embeddin...

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Bibliographic Details
Main Authors Yu, Ada Cheuk Ying, Xue, Huichao, Mithal, Varun, Xu, Junrui, Kathalagiri Somashekariah, Girish, Meng, Meng
Format Patent
LanguageEnglish
Published 01.10.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The disclosed embodiments provide a system for selecting recommendations based on title transition embeddings. During operation, the system obtains a word embedding model of a set of job histories. Next, the system calculates similarities between pairs of the embeddings produced by the word embedding model from attributes associated with titles in the set of job histories. The system then identifies, based on the similarities, job titles with high similarity to a current title of the candidate. Finally, the system outputs the job titles for use in selecting job recommendations for the candidate.
Bibliography:Application Number: US201916367716