Contextual Recommendation System: A Revolutionary Approach Using Hadoop, Spark, NLP and LLMs

Title

Contextual Recommendation System: A Revolutionary Approach Using Hadoop, Spark, NLP and LLMs

Creator

Reddy Kandula B.; Jacob L.

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.

Source

2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

framework; hadoop; llms; nlp; recommendations; spark

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

Rights

Restricted Access

Relation

ISBN: 979-835037809-2

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICEECT61758.2024.10738951

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211113048&doi=10.1109%2fICEECT61758.2024.10738951&partnerID=40&md5=2eeb17e6208d3f5cf8d4254034e0dd84