Optimized talent acquisition processes by integrating a RankNet TensorFlow neural network (NLP) utilizing TF-IDF, BERT, GloVE, and Word2vec into a machine learning pipeline. The algorithm lists and ranks job candidates based on search terms and has the ability to refine future results based on feedback.
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Optimized talent acquisition processes by integrating a RankNet TensorFlow neural network (NLP) utilizing TF-IDF, BERT, GloVE, and Word2vec into a machine learning pipeline. The algorithm lists and ranks job candidates based on search terms and has the ability to refine future results based on feedback.
superingram/Learning-to-Rank-Potential-Talent-with-BERT-and-GloVE
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Optimized talent acquisition processes by integrating a RankNet TensorFlow neural network (NLP) utilizing TF-IDF, BERT, GloVE, and Word2vec into a machine learning pipeline. The algorithm lists and ranks job candidates based on search terms and has the ability to refine future results based on feedback.
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