Recommender Systems

Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation
In sequential recommendation scenarios, user intent is a key driver of consumption behavior. However, consumption intents are usually …
Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle
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Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)
Alan Said, Christine Bauer, Eva Zangerle
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Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers
Explainability in recommender systems is both crucial and challenging. Among the state-of-the-art explanation strategies, …
Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle
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Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access …
Christine Bauer, Eva Zangerle, Alan Said
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Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation
Evaluation plays a vital role in recommender systems—in research and practice—whether for confirming algorithmic concepts or assessing …
Christine Bauer, Alan Said, Eva Zangerle
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Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)
Eva Zangerle, Christine Bauer, Alan Said
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