Product recommendation system using optimal switching hybrid algorithm

P. Bhuvaneshwari and A. Nagaraja Rao

International Journal of Intelligent Enterprise, 2021, vol. 8, issue 2/3, 185-204

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.

Keywords: e-commerce; collaborative filtering; cold start problem; optimal switching hybrid approach; OSHA; K-nearest neighbour. (search for similar items in EconPapers)
Date: 2021
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