Abstract
A few decades ago, no one would have ever imagined that we could buy a 55-inch TV at midnight while sitting at home watching a 22-inch TV. Thanks to the Internet and e-commerce, we can buy any item at any time from anywhere, and it is delivered quickly. Flexibility has made e-commerce businesses expand exponentially. You don’t have to visit the store, products have unlimited options, prices are lower, no standing in line to pay, and so forth.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
About this chapter
Cite this chapter
Kulkarni, A., Shivananda, A., Kulkarni, A. (2022). Enhancing E-commerce Using an Advanced Search Engine and Recommendation System. In: Natural Language Processing Projects . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-7386-9_4
Download citation
DOI: https://doi.org/10.1007/978-1-4842-7386-9_4
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-7385-2
Online ISBN: 978-1-4842-7386-9
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)