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Data Security Concerns in Approaches to Overcome Cold Start Problem in Recommender Systems - A Survey

by Kanishkar Indira, Kiruthi Thaker
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 44
Year of Publication: 2024
Authors: Kanishkar Indira, Kiruthi Thaker
10.5120/ijca2023922852

Kanishkar Indira, Kiruthi Thaker . Data Security Concerns in Approaches to Overcome Cold Start Problem in Recommender Systems - A Survey. International Journal of Applied Information Systems. 12, 44 ( Jul 2024), 41-46. DOI=10.5120/ijca2023922852

@article{ 10.5120/ijca2023922852,
author = { Kanishkar Indira, Kiruthi Thaker },
title = { Data Security Concerns in Approaches to Overcome Cold Start Problem in Recommender Systems - A Survey },
journal = { International Journal of Applied Information Systems },
issue_date = { Jul 2024 },
volume = { 12 },
number = { 44 },
month = { Jul },
year = { 2024 },
issn = { 2249-0868 },
pages = { 41-46 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number44/data-security-concerns-in-approaches-to-overcome-cold-start-problem-in-recommender-systems-a-survey/ },
doi = { 10.5120/ijca2023922852 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-07-20T21:32:36.010127+05:30
%A Kanishkar Indira
%A Kiruthi Thaker
%T Data Security Concerns in Approaches to Overcome Cold Start Problem in Recommender Systems - A Survey
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 44
%P 41-46
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the subject of recommendation engines, the cold start problem is a significant research topic. Due to a lack of knowledge about the user and/or services, the recommendation system is unable to predict the user's preferences or interested products, resulting in a cold start. Many people have sought to overcome the cold start problem in recommending generic domains such as music, movies, E-Commerce, and travel websites using different types of machine learning models. This work provides a survey of the most recent to the traditional methods used for solving the cold start problem and also provides a holistic view of the adversarial attacks that are possible on the machine learning models used while trying to solve the cold start problem using the machine learning models.

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Index Terms

Computer Science
Information Sciences
Data Security
Recommender Systems
Cold Start Problem

Keywords

Cold start Recommendation Engine Recommender Systems Natural Language Processing NLP Adversarial attacks Security Machine Learning Cloud Computing Distributed Systems

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