Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …

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重点实验室, 济南250014; 3. 山东省未来智能金融工程实验室, 山东烟台264005; 4 …

Popularity bias is a massive challenge for autoencoder-based models, which decreases the
level of personalization and hurts the fairness of recommendations. User reviews reflect their …

Recent years have witnessed the explosive growth of interaction behaviors in multimedia
information systems, where multi-behavior recommender systems have received increasing …

In recent years, information overload has become a phenomenon where it makes people
difficult to filter relevant information. To address issues such as high-dimensional data, cold …

enpresa Management Letters / Cuadernos de Gestión Page 1 This article is distributed under the
terms of the Creative Commons Atribution 4.0 Internacional License institutua enpresa Instituto …

Recommender systems utilize algorithms and data to predict user preferences based on
their past choices. While these systems can be highly accurate, this increased accuracy can …