Effectiveness of Shilling Attacks Against Recommender Systems

Running head: MSC PROJECT
EFFECTIVENESS OF SHILLING ATTACKS AGAINST RECOMMENDER SYSTEMS
Name of student
Name of university
Author’s note:

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MSC PROJECT
Table of Contents
Introduction....................................................................................................................2
Research aim..............................................................................................................2
Research objectives....................................................................................................2
Literature review............................................................................................................2
Recommender systems...............................................................................................2
Recommender system and shilling attacks................................................................4
Research methodology...................................................................................................5
Project schedule.............................................................................................................5
Ethical issues..............................................................................................................5
Conclusion......................................................................................................................6
References......................................................................................................................7

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MSC PROJECT
Introduction
This project proposal aims to discuss the effectiveness of the shilling attacks against
recommender systems. A brief discussion of the shilling attacks is provided in this report and
along with the discussion of the recommender system is provided in this report. The research
methodology is provided in this report and at last, this report concludes with an appropriate
conclusion for this report. The recommender systems are used for the predictions of the
preferences of customers when they visit any online platform for buying any product or video
on the internet.
Research aim
The aim of this research is to determine the effectiveness of the effectiveness of the
shilling attacks against any recommender systems. The shilling attacks are carried out in the
recommender systems for damaging these systems of the organisations. The research aims to
investigate the recommender systems and examine it against the shilling attacks.
Research objectives
1. To perform an analysis of the recommender systems
2. To perform an analysis of the shilling attacks and check the effectiveness
3. To perform a comparison between recommender system and shilling attacks
Literature review
Recommender systems
According to Ricci, Rokach and Shapira (2015), the goal of any recommender system
is to provide the meaningful recommendations to any collection of the users for any item or
products that might be of their preference. Some of the examples are the books on the
Amazon platform, movies on Netflix. These features are provided by the strict recommender