Abstract:
There are several benefits of e-commerce websites
that include cost effectiveness, convenience, flexibility, fast
delivery, increase in income, etc. With these benefits, there is
crucial role of e-commerce websites in business and users.
However, e-commerce websites produce an overload of data,
hence, Recommender Systems (RSs) provides a solution for the
data overload problem. The present study, reviews different
types of RSs and its pros and cons. Then, it does comparative
study of different types of RSs. After the review, it’s concluded
that collaborating filtering technique used more than all other
ones in e-commerce websites. There are problems with almost all
techniques including the collaborative filtering technique too.
However there is a novel model proposed that fixes the
collaborative filtering technique of ‘cold start’ at its best.
