electronics recommendation system

The aim is to enhance user experience by implementing a personalized electronic ranking system. Your task is to develop an algorithm or model that can generate accurate and relevant electronic rankings for individual users. The ranking system should consider factors such as user preferences, past interactions, product popularity, and user similarity. It should be able to predict the most suitable products for a user based on their unique characteristics and preferences. . Instead, you are expected to design and implement a solution that simulates user interactions and generates personalized rankings. You can define user profiles, electronic categories, and interaction patterns within your [login to view URL] do not have to implement a frontend we require only model. To evaluate the effectiveness , you should define appropriate metrics for measuring the accuracy and relevance of the rankings. You should also have to explain your approach, describing the algorithms or techniques used, and inform the strengths and limitations of your model.