Recommender systems: A systematic review of the state of the art literature and suggestions for future research

F Alyari, N Jafari Navimipour - Kybernetes, 2018 - emerald.com
Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …

Recommendation Systems for e-Shopping: Review of Techniques for Retail and Sustainable Marketing

G Stalidis, I Karaveli, K Diamantaras, M Delianidi… - Sustainability, 2023 - mdpi.com
In recent years, the interest in recommendation systems (RSs) has dramatically increased,
as they have become main components of all online stores. The aims of an RS can be …

Alambic: a privacy-preserving recommender system for electronic commerce

E Aïmeur, G Brassard, JM Fernandez… - International Journal of …, 2008 - Springer
Recommender systems enable merchants to assist customers in finding products that best
satisfy their needs. Unfortunately, current recommender systems suffer from various privacy …

A survey of privacy in multi-agent systems

JM Such, A Espinosa, A García-Fornes - The Knowledge …, 2014 - cambridge.org
Privacy has been a concern for humans long before the explosive growth of the Internet. The
advances in information technologies have further increased these concerns. This is …

Privacy protection issues in social networking sites

A Ho, A Maiga, E Aïmeur - 2009 IEEE/ACS International …, 2009 - ieeexplore.ieee.org
Social networking sites (SNS) have become very popular during the past few years, as they
allow users to both express their individuality and meet people with similar interests …

Teens-online: A game theory-based collaborative platform for privacy education

R Yusri, A Abusitta, E Aïmeur - International Journal of Artificial …, 2021 - Springer
Nowadays, privacy education plays an important role in teenagers' lives. Since this domain
is strongly linked to their social life, it is preferable to provide a collaborative learning …

CSD: A multi-user similarity metric for community recommendation in online social networks

X Han, L Wang, R Farahbakhsh, Á Cuevas… - Expert Systems with …, 2016 - Elsevier
Communities are basic components in networks. As a promising social application,
community recommendation selects a few items (eg, movies and books) to recommend to a …

An agent-based approach for privacy-preserving recommender systems

R Cissée, S Albayrak - Proceedings of the 6th international joint …, 2007 - dl.acm.org
Recommender Systems are used in various domains to generate personalized information
based on personal user data. The ability to preserve the privacy of all participants is an …

Developing a course recommender by combining clustering and fuzzy association rules

S Asadi, S Jafari, Z Shokrollahi - Journal of AI and Data mining, 2019 - jad.shahroodut.ac.ir
Each semester, students go through the process of selecting appropriate courses. It is
difficult to find information about each course and ultimately make decisions. The objective …

An improved hybrid recommender system by combining predictions

B Chikhaoui, M Chiazzaro… - 2011 IEEE Workshops of …, 2011 - ieeexplore.ieee.org
Recommender systems are gaining a great importance with the emergence of E-commerce
and business on the internet. These recommender systems help users in making decision …