Abstract: E-commerce is an attractive domain where user can purchase their intended products online and get there products deliver in time to their doors, even though users are profiting huge advantage in ecommerce over traditional commerce, the one who suffering from the growth online commerce sector is local retailers, in order to prevent the local retailer business from being pushed in to the corner, we are proposing an android app with an idea of Omni-channel, online offline shopping, product reservation and recommending the products for the users based on user clicks history, which was implemented using a data mining algorithm called collaborative based filtering methods.
Keywords: Touch and feel; Omni-channel; product reservation; online and offline; recommendation system; collaborative filtering.
Title: CityOnnet E-Commerce App Based on Collaborative Filtering
Author: Akshatha K N, Venkatesh U.C, Dr.Antony P.J
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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