A Mobile App Leveraging NLP Techniques for Sci-Fi Book Recommendations
Abstract
This paper introduces the development of a mobile application employing Natural Language Processing (NLP) techniques to provide content-based recommendations for Sci-Fi books. The mobile application integrates two distinct NLP techniques: Doc2Vec for rapid keyword searches and RoBERTa to enhance the understanding of book themes and ideas. This combination enables the recommender system to offer personalized book recommendations tailored to individual user interests, enhancing the reading experience.
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Published In
April 2024
84 pages
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Consortium for Computing Sciences in Colleges
Evansville, IN, United States
Publication History
Published: 16 May 2024
Published in JCSC Volume 39, Issue 7
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