Survey on Recommendation System Combining Hybrid and Popularity Based Approach

The rapidly developing e-commerce environment offers consumers a multitude of products and services, making it difficult to find products that suit their interests and budgets. This research work presents a solution consisting of individualized based recommendations on user's behavior and preferences, and base them on the user's shared filters.In order to enhance user experience,it shows the use of a recommendation model that estimates specific product that a user may wish to buy using a hybrid system and a popularity-based system. This research work places a strong emphasis on data veracity, quality modeling, and user privacy protection. The system is designed to make purchasing decisions easier for e-commerce customers by providing them with information about competitive pricing and product recommendations. It provides e-commerce and research data to create effective solutions to improve online business, creating a win-win situation for the consumer and e-commerce.