2 papers
cs.IR2023
Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings
Emanuel Lacic, Tomislav Duricic, Leon Fadljevic +2
In this work, we tackle the problem of adapting a real-time recommender system to multiple application domains, and their underlying data models and customization requirements. To…
cs.IR2021
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations
Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck +2
Personalized news recommender systems support readers in finding the right and relevant articles in online news platforms. In this paper, we discuss the introduction of personalize…