Enhanced Multi-criteria Recommender System TNCRecS for Selection of Smart Phone

Now a day, purchasing of any product via online e-commerce or offline showroom is very challenging task for a customer due to availability of many options. In such situation, recommender systems play a vital role. This paper aims to propose an enhanced recommender system, “Top-N Common Recommender System” (TNCRecS) based on multiple-attributes by integrating top two state-of the-art multi-criteria decision making (MCDM) algorithms, TOPSIS and AHP. The results of these algorithms have been used to provide final Top-N common recommendation. Experiment performed on four different brands latest smart phones and five criteria (RAM, memory, display, battery and price). Reported result shows that Redmi Note 12 Pro and Samsung Galaxy A 23 smart phones are the top 2 recommendation among the 4 smart phones, Redmi Note 12 Pro, Vivo T1X, Realme 9 and Samsung Galaxy A 23.