JOB SEARCH RANKING AND FILTERING USING WORD EMBEDDING
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United States of America Patent
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Apr 2, 2020
app pub date -
Sep 28, 2018
filing date -
Sep 28, 2018
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In an example embodiment, career path information is extracted from user data, the career path information including two or more career path features for each job held by the user, as identified in the career path information. The career path information is concatenated into a single concatenation. The single concatenation is fed into an embedding model trained using a first machine learning algorithm to output one or more embeddings in an n-dimensional space for the single concatenation. These embeddings are then used as input to a model trained by a second machine learning algorithm.
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