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Product recommendation system using optimal switching hybrid algorithm

Author

Listed:
  • P. Bhuvaneshwari
  • A. Nagaraja Rao

Abstract

The recommendation system works as a heart in the business strategy of e-commerce. By employing various techniques and methods it recommends the desirable items to the user. Recent studies suggest by applying proper methods the accuracy of the recommendation can be improved. Traditional techniques like collaborative filtering face the cold start problem, so in this paper, we propose an optimal switching hybrid approach (OSHA) to overcome the issue. Here, K-nearest neighbour algorithm is used to predict the similar kind of users and the experimental results show that the proposed algorithm performs better than the standalone technique.

Suggested Citation

  • P. Bhuvaneshwari & A. Nagaraja Rao, 2021. "Product recommendation system using optimal switching hybrid algorithm," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 8(2/3), pages 185-204.
    • Handle: RePEc:ids:ijient:v:8:y:2021:i:2/3:p:185-204
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