Reducing Cluster Overlap in Movie Recommendations with IKSOM and Silhouette Clustering
Journal Title: International Journal of Experimental Research and Review - Year 2024, Vol 42, Issue 6
Abstract
The exponential growth of online material requires the implementation of effective and precise recommendation systems in order to optimize the user experience. Nevertheless, conventional approaches frequently encounter problems such as cluster overlap, which reduces the accuracy of suggestions. This paper presents a new method for minimising the overlap between clusters in movie recommendation systems. It achieves this by combining Improved Kohonen Self-Organizing Maps (IKSOM) with Silhouette Clustering. The proposed method utilises IKSOM to efficiently represent high-dimensional user-item interactions in a two-dimensional space, enabling the formation of distinct and meaningful clusters. Subsequently, Silhouette Clustering is utilised to enhance the separation and cohesion of clusters, hence reducing overlap. The experimental findings show that proposed hybrid model works much better than the baseline techniques, obtaining an RMSE of 0.423 and MAE of 0.216. Additionally, it improves precision (93.6%), recall (94.2%) and F1-score (93.4%). Additionally, the proposed technique demonstrates a high level of accuracy (97.3%) with a precision rate of 95.8%. These results emphasise the method's efficacy in minimising errors and enhancing the overall performance of the recommendation system. The results indicate that combining IKSOM with Silhouette Clustering can improve the precision and dependability of movie recommendation systems by resolving cluster overlap and offering more individualised user experiences. Subsequent research will investigate the implementation of this method in different fields and the integration of supplementary contextual information to enhance the accuracy of recommendations.
Authors and Affiliations
Saurabh Sharma, Ghanshyam Dubey, Harish Shakya
Keywords
Related Articles
- EP ID EP743744
- DOI 10.52756/ijerr.2024.v42.015
- Views 52
- Downloads 0
Annular Beam Driven Metamaterial Backward Wave Oscillator
Metamaterials (MTMs) are synthetic materials designed to have characteristics that "may not be readily available in nature," such as negative permittivity, reversed Doppler Effect, reversed Cherenkov Effect, and negative...
Application of Artificial Intelligence in Carbon Accounting and Firm Performance: A Review Using Qualitative Analysis
The increasing role of the corporate sector in global carbon emissions has raised significant concern among stakeholders, leading to a thorough reassessment of corporate responsibility. Corporations, directly influencing...
A comprehensive characterization and therapeutic properties in ripened Noni fruits (Morinda citrifolia L.)
In this study, methanolic extracts from fresh ripened noni fruits (NFs) (Morinda citrifolia) were analyzed using GC-MS, FTIR, and XRD methods. Comprehensive assessments were carried out by proximate analysis (PA), higher...
Management of root-knot nematodes, Meloidogyne incognita in Okra using wheat flour as bionematocides
The current study aims to determine how well root-knot nematodes (Meloidogyne sp.) are reduced when wheat flour is used as bio-nematicides to increase agricultural productivity. Root-knot nematodes inflict a significant...
A Cross-Sectional Study to Analyze the Physical and Cognitive Fatigue Due to Sleep Disruption Among Shift Workers in Tamilnadu
The objective of this research is to analyse the extent and manner of the kind of fatigue among shift workers in Tamil Nadu, India. As for shift workers, they often have disturbed night’s sleep. Shift work is distinguish...