Enhancing Product Classification and Providing Recommendation Using Hybrid Algorithms

Recommendation engines are extremely important in the constantly changing world of online business. This paper describes a deep learning-based product recommendation system that skillfully combines text and image categorization methods. With millions of products available on eCommerce platforms, providing users with accurate and personalized suggestions is a challenge. The hybrid strategy that has been suggested makes use of deep learning algorithms to effectively classify products by leveraging the advantages of both text and image data. Combining these methods allows the recommendation system to offer a variety of customized options, improving the user experience. By tackling the intricacies of product data and providing a hybrid solution for accurate and personalized product suggestions, this research adds to the rapidly evolving field of online commerce.