Beyond Positive Similarity Metrics: Leveraging Negative Co-Occurrence in Recommender Systems

Beyond Positive Similarity Metrics: Leveraging Negative Co-Occurrence in Recommender Systems

Given the growing amount of online information and the lack of effective tools to extract relevant content for individuals, recommender systems (RSs) have emerged as highly efficient means to provide personalized recommendations to users. Collaborative filtering (CF) is a popular recommendation tech...

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Bibliographic Details
Main Authors: Khalid Haddou, Imane Akdim, Loubna Mekouar, Youssef Iraqi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Recommender systems
collaborative filtering
implicit ratings
similarity metrics
negative co-occurrence
Online Access:https://ieeexplore.ieee.org/document/10723267/
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