VOLUME - 6, ISSUE – 2, JULY.TO DEC,2020 ISSN NO. : 2455-4642 (ONLINE)
IDEES –International Multidisciplinary Research Journal
(Peer Reviewed)
A Research Paper
on
A REVIEW ON PRIVACY-PRESERVATION OF RECOMMENDATION SYSTEM FOR
E-COMMERCE
By
AAISHWARYA SANJAY BAJAJ
and
DRASHTI SUNIL BURMAN
Abstract
Now-a-days, internet has grown up as familiar medium to investigate new data. Several
organization and companies getting on web in order to present their products or services
across the world. E-commerce is a sort of business or saleable exchange that involves the
exchange of statistics over the internet or web. In this circumstance immense amount of
information is acquired and dumped into the web services which can be used by the third
party. Although users are very conscious to disclose their personal information.
Recommender systems are changing from novelties utilized by a couple E-commerce
sites, to serious business tools that are re-shaping the universe of E-commerce. The
greater part of the most significant commerce websites are already using recommender
systems to help their customers discover products to get. A recommender system learns
from a customer and recommends products that individuals would discover generally
important from among the accessible items. Subsequently, there are many security issues
which will become known through attempted unauthorized access while giving access to
recommended services. So to protect from breaching of personal information, it is
necessary to protect the user information by using encryption technique. To address
these challenges, we approach a detail clarification of recommender systems.
Keywords: E-commerce, Recommended System, unauthorized access, encryption
Introduction:-
There are various types of items or materials that are acquired or utilized in everyday
lives. The products have product specifications, the customer contrasted the items and
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