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January 1, 2025International Journal of Computer Applications in TechnologyOpen Access

Effective product recommendation system through topic modelling and K-means approach

Manu G. Thomas S. Senthil

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Key Points

The research aims to develop a product recommendation system by combining topic modeling and k-means algorithms to enhance user experience.
Implemented a new recommendation system using topic modeling techniques to analyze data.
Employed k-means clustering to categorize user preferences based on their interactions.
Utilized metrics such as precision and recall to evaluate the system's effectiveness.
The new system improved product recommendation accuracy by 25% compared to traditional methods.
User satisfaction ratings increased significantly, averaging 4.5 out of 5.
The approach reduced computational time for recommendations by 30%.

Implication

Evaluates product recommendation effectiveness using topic modeling and k-means for better user preferences.

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Cite This Study

Thomas et al. (2025) studied this question.

synapsesocial.com/papers/6a2cf488faef96ed7f056b77 https://doi.org/10.1504/ijcat.2025.10079102

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