Sažetak In recent times, we have loads and loads of information available over the Internet.
It has become very cumbersome to extract relevant information out of this huge amount of …

Today, there is lots of information available over the Internet but it's very difficult to filter out
the required information from this overload of information. Thus a solution to this problem …

Recommendation system is a special type of information filtering system that attempts to
present information/objects that are likely to the interest of user. Any organization, provides …

Organized malicious shilling attackers influence the output of the collaborative filtering
recommendation systems by inserting fake users into the rating matrix within the database …

The open nature of recommender systems makes them vulnerable to shilling attacks. Biased
ratings are introduced in order to affect recommendations, have been shown to cause great …

The reliability of the recommender system is highly essential for the continuity of any system.
Fake and malicious users may be spoiling system predictions reliability by inserting and …

A collaborative filtering-based recommendation system has been an integral part of e-
commerce and e-servicing. To keep the recommendation systems reliable, authentic, and …

Collaborative filtering recommender systems are essentially information systems which are
capable of combining the judgment of a large group of people to make personalized …

Security of Recommender systems from various type of attacks from non-genuine users are
main point of research these days. The performance of Recommender systems get …

With the abundance of data available, it becomes difficult to distinguish useful information
from massive amount of information available. Recommender systems serves the purpose of …