Enhancing Cross-Domain Recommendation System using a Novel hybrid NLP Based Text Vectorization and Unsupervised Machine Learning Model-Reference-Cited by-同舟云学术

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Enhancing Cross-Domain Recommendation System using a Novel hybrid NLP Based Text Vectorization and Unsupervised Machine Learning Model

Published:2024-02-24 Issue: Volume:04 Page:1-6
ISSN:
Container-title:2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
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Author:

Mondal Shashanka¹,Kumar Sachin²,Shireen Bushra³,Singh Shrijan²,Barik Ram Chandra³

Affiliation:

1. C.V. Raman Global University,Department of Computer Science and Engineering,Ranchi,India

2. C.V. Raman Global University,Department of Computer Science and Engineering,Patna,India

3. C.V. Raman Global University,Department of Computer Science and Engineering,Bhubaneswar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10481805/10481679/10481932.pdf?arnumber=10481932

Reference10 articles.

1. A Study of Text Vectorization Method Combining Topic Model and Transfer Learning

2. Cross-Domain Recommendation Model based on Hybrid Approach

3. A systematic review and research perspective on recommender systems

4. Machine Learning Based Movie Recommendation System

5. Comparative Analogy on Classification and Clustering of Genomic Signal by a Novel Factor Analysis and F-Score Method

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