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Introduction to recommender systems
Proceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008Recommender 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 ...
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Trustworthy Recommender Systems
ACM Transactions on Intelligent Systems and TechnologyRecommender 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
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A hybrid recommender system for an online store using a fuzzy expert system
Expert Systems With Applications, 2023Bogdan Walek
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Privacy in Recommender Systems
2018The 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.
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Graph Neural Networks in Recommender Systems: A Survey
ACM Computing Surveys, 2023Shiwen Wu, Fei Sun, Wentao Zhang
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Deep Learning Based Recommender System
ACM Computing Surveys, 2020Shuai Zhang, Lina Yao, Aixin Sun
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A hybrid recommender system for recommending relevant movies using an expert system
Expert Systems With Applications, 2020Bogdan Walek
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Group recommender system based on genre preference focusing on reducing the clustering cost
Expert Systems With Applications, 2021Young-Duk Seo +2 more
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