Open AccessConsumer product preference prediction towards online shopping
Author(s) -
S Deepa,
R. Suguna,
P. SATHISHKUMAR,
C Jamunadevi,
E N Vidhya
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012092
Subject(s) - laptop , preference , product (mathematics) , order (exchange) , advertising , business , computer science , e commerce , tracking (education) , marketing , world wide web , psychology , pedagogy , geometry , mathematics , finance , economics , microeconomics , operating system
Nowadays E-commerce plays a major role in a business organization. People prefer online shopping rather than offline shopping which helps them to purchase their product from anywhere around the world through mobile phones and laptop. Online shopping websites help people by saving time and product order can be done easily by clicking the product. Online shopping websites are built using the Single Page Application (SPA) framework and the objective of this research is to find the customer preference product prediction by tracking the frequent clicks of the product by the customer. By tracking the clicks of customer we can find their product choice and helps retailer to add the products according to user preference.