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View all- Liu YLin SHuang J(2024)Knowledge Graph Relation Patterns Networks for RecommendationsWeb Information Systems Engineering – WISE 202410.1007/978-981-96-0567-5_11(131-145)Online publication date: 3-Dec-2024
Users are often confronted with situations where they have to decide in favor or against an offered item, like a book, movie, or recipe. Those suggested items are commonly determined by a recommender system, which considers personal preferences to ...
Recommender Systems (RS) are vulnerable to attack by malicious users who intend to bias the recommendations for their own benefit. Research in this area has developed attack models, detection methods, and mitigation schemes to understand and protect ...
Most recommender systems attempt to use collaborative filtering, content-based filtering or hybrid approach to recommend items to new users. Collaborative filtering recommends items to new users based on their similar neighbours, and content-based ...
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