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Filtering by: Publisher Data Science Masters Theses Resource type Dissertation Subject Natural language processing (Computer science) Subject Reinforcement learning

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1. Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry

Description:: The challenges of using inadequate online recruitment systems can be addressed with machine learning and software engineering techniques. Bi-directional personalization reinforcement learning-based architecture with active learning can get recruiters to recommend qualified applicants and also enable applicants to receive personalized job recommendations. This paper focuses on how machine learning...
Keyword:: Reinforcement learning, Active learning, Contextual Bandit, NLP, NER, Sentiment Analysis, Counter factual Evaluation, Travel Industry, Unit tests, Serverless Functions, Language Understanding, Azure Cosmos DB, Serverless Functions, Azure Personalizer,
Subject:: Natural language processing (Computer science), Artificial intelligence, Sentiment analysis, Reinforcement learning, and Machine learning
Creator:: Ezana N. Beyenne
Owner:: Ezana Negga Beyenne
Publisher:: Data Science Masters Theses
Date Uploaded:: 03/15/2023
Date Modified:: 03/15/2023
Resource Type:: Dissertation and Masters Thesis

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1. Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry