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Filtering by: 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) Subject Sentiment analysis

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

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