Contextual Recommendation System: A Revolutionary Approach Using Hadoop, Spark, NLP and LLMs
subject: framework; hadoop; llms; nlp; recommendations; spark
description: This study presents a novel framework for contextual recommendations on platforms like Wikipedia, integrating Hadoop, Spark, NLP, and LLMs. Leveraging these technologies, the framework aims to enhance user experiences by delivering personalized article suggestions aligned with their current interests. Through scalable data processing, advanced NLP techniques, and LLM-powered semantic understanding, the framework offers a transformative approach to recommendation systems, promising to revolutionize knowledge exploration on digital platforms. 2024 IEEE.
creator: Reddy Kandula B.; Jacob L.
source: 2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 979-835037809-2
format: Online
language: English
type: Conference paper
coverage: Reddy Kandula B., CHRIST(Deemed to be University), Department of Data Science, Lavasa, India; Jacob L., CHRIST(Deemed to be University), Department of Data Science, Lavasa, India