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International Journal of Innovative Research in
Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed & Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since 2013

Comparative Analysis of User-Based and Item-Based Collaborative Filtering Using the MovieLens Dataset

M. V. Karthikeya, Vishnu Vardhan, D.Nanda Kishore, Subhrajit Panda, Sai Tejas, A. Narendrasai B Sharath Reddy, Dr. M. ULAGAMMAI

Abstract: In today's Now, recommender systems in the present time become an essential tool to screen out relevant content for users. This paper constitutes a comparative study of user-based and item-based collaborative filtering (CF), using MovieLens dataset. Methodology, the details of implementation, and evaluation on metrics RMSE, Precision@K, Recall@K, and Coverage are described. A working web prototype of the recommendation system is presented, with screenshots demonstrating its functioning. Results showed that Item-Based CF has more stability and accuracy for large recommendation tasks while User-Based CF still captures dynamic user similarities.

Keywords: Recommender Systems; Collaborative Filtering; MovieLens; User Based CF; Item Based CF; Evaluation Metrics.


Downloads: PDF | DOI: 10.17148/IJIREEICE.2025.131116

Cite This:

[1] M. V. Karthikeya, Vishnu Vardhan, D.Nanda Kishore, Subhrajit Panda, Sai Tejas, A. Narendrasai B Sharath Reddy, Dr. M. ULAGAMMAI, "Comparative Analysis of User-Based and Item-Based Collaborative Filtering Using the MovieLens Dataset," International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI 10.17148/IJIREEICE.2025.131116

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