An Enhanced Semantic Analysis of Potential Recommender Systems for Big Data Management-Reference-Cited by-同舟云学术

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An Enhanced Semantic Analysis of Potential Recommender Systems for Big Data Management

Published:2023-12-29 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

Mishra Rahul¹,Pund Sachin S.²,Dewangan Omprakash³,Chandrakar Ruchi⁴,Khunte Nuresh Kr⁴,Ammisetty Veeraswamy⁵

Affiliation:

1. Kalinga University,Naya Raipur

2. Shri Ramdeobaba College of Engineering and Management,Department of Industrial Engineering,Nagpur,Maharashtra,India

3. Kalinga University,Department of Computer Science and Information technology,Raipur,Chhattisgarh

4. Kalinga University,Department Faculty of Technology,Naya Raipur,Chattishgarh

5. Koneru Lakshmaiah Education Foundation,Department of Computer Science & Engineering,Vaddeswaram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10441890.pdf?arnumber=10441890

Reference17 articles.

1. Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation

2. Hybrid recommendation by incorporating the sentiment of product reviews

3. Digital Content Recommendation System through Facial Emotion Recognition

4. SARWAS: Deep ensemble learning techniques for sentiment based recommendation system

5. Customer centric hybrid recommendation system for E-Commerce applications by integrating hybrid sentiment analysis

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