Application of Multilayer Perceptron (MLP) for Data Mining in E-commerce Recommendation System
Data mining is a concept being implemented in every possible system. Data mining is the process toward understanding the conduct of a certain dataset when measured with respect to certain static amounts. Online grocery shopping is a trend getting more and more popular in recent times. But with the use of appropriate algorithms and techniques the experience of online shopping can be made much easier and friendly for the users. Various machine learning techniques have been tried and incorporated in order to test their feasibility in such an environment. The latest neural-based deep learning techniques have been found to be the most effective and helpful. In this paper, we propose using a Multilayer Perceptron algorithm to mine the data in order to provide the user with the most appropriate and useful recommendation. Exploratory data analysis is used in analyzing the data.