Avoidance of Scalability Problem in Recommendation System Using Filtering Approch

By evaluating and applying some filtering to identify the user's interests, the recommendation system operates on the principle of proposing or recommending things, products, books, movies, etc. Users need to be recommended with products related to their areas of interest in order to maximize business growth and profit-gain. The recommendation system has been put in place to satisfy this need. In this study, the topic of discussion is the recommendation system and how various concepts might function both separately and jointly to make recommendations. The emphasis of this investigation is on e-commerce method recommendations. The “scalability” is a factor in the circumstance. Studies on scalability have also been conducted, and an effective solution to somewhat lessen these issues has been identified. In order to accomplish that goal, “LCW Aspect” is going to implement and analyze the user's culture, weather, and local scarcity while concentrating on resolving the problem of recommendations for new and emerging users.