Design and Implementation of a Hybrid Recommendation System Using Machine Learning Techniques
Ashutosh Pratap Singh
Scholar (B. Tech) Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Sharad Sharma
Scholar (B. Tech) Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Priyanshu Pandey
Scholar (B. Tech) Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Farheen Siddiqui
Assistant Professor, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Dr. Yusuf Perwej
Professor, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
📌 DOI: https://doi.org/10.63920/tjths.52010
🔑 Keywords: Recommendation System, Machine Learning, Collaborative Filtering, Content-Based Filtering, Hybrid Model
📅 Publication Date: 24 March 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License
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Abstract:
Recommendation systems have become an essential component of modern digital platforms, helping users discover relevant information among large datasets. Many organizations such as Netflix, Amazon, and YouTube use recommendation algorithms to personalize user experiences and increase engagement. Traditional recommendation systems mainly use collaborative filtering or content-based filtering methods. However, each approach has certain limitations, including data sparsity and cold-start problems. This paper proposes a hybrid recommendation system that integrates collaborative filtering and content-based filtering techniques. The proposed model aims to improve recommendation accuracy and overcome limitations of traditional methods. The system evaluates recommendations using metrics such as precision, recall, and F1-score. Experimental results demonstrate that hybrid recommendation systems provide more accurate and diverse recommendations.
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📖 How to Cite
Ashutosh Pratap S., Sharad S. , Priyanshu P., Farheen S., Dr. Yusuf P. (2026). Design and Implementation of a Hybrid Recommendation System Using Machine Learning Techniques. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52009
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