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Introduction to recommender systems

Proceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008
Recommender systems help users find the information, products, and other people they most want to find. This tutorial provides participants with a hands-on learning experience about using recommender system technologies. After completing this tutorial, participants will understand the range of technologies being used for recommender systems, including ...
openaire   +1 more source

Trustworthy Recommender Systems

ACM Transactions on Intelligent Systems and Technology
Recommender systems (RSs) aim at helping users to effectively retrieve items of their interests from a large catalogue. For a quite long time, researchers and practitioners have been focusing on developing accurate RSs. Recent years have witnessed an increasing number of threats to RSs, coming from attacks, system and user generated noise, and various ...
Shoujin Wang   +3 more
openaire   +1 more source

Hybrid Recommendation System

2023
Raghul Krishna Rajasekaran   +1 more
openaire   +1 more source

A survey on personality-aware recommendation systems

Artificial Intelligence Review, 2021
Sahraoui Dhelim   +2 more
exaly  

Privacy in Recommender Systems

2018
The upsurge in the number of web users over the last two decades has resulted in a significant growth of online information. Recommenders are machine learning approach and are becoming one of the main ways to navigate the Internet. They recommend appropriate items to users based on their clicks, i.e., likes, ratings, purchases, etc.
openaire   +1 more source

The recommender system: a survey

International Journal of Advanced Intelligence Paradigms, 2020
Bushra Alhijawi, Yousef Kilani
openaire   +1 more source

Ethical aspects of multi-stakeholder recommendation systems

Information Society, 2021
Silvia Milano   +2 more
exaly  

Recommendation Systems for Education: Systematic Review

Electronics (Switzerland), 2021
Maria Cora Urdaneta-Ponte   +2 more
exaly  

Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities

Applied Sciences (Switzerland), 2020
Zeshan Fayyaz   +2 more
exaly  

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