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RecTemp: Temporal Reasoning in Recommender
Keynote Speaker
Towards Intent-aware Recommender Systems
Towards Intent-aware Recommender Systems
On many online platforms, a central challenge when providing recommendations to users is that the reason why an individual user accesses the service may change from visit to visit or even during an ongoing usage session. To be effective, a recommender system should therefore aim to take a user's probable intent of using the service at a certain point in time into account. In this paper, we will survey and categorize existing approaches to building the next generation of Intent-Aware Recommender Systems. Furthermore, we will discuss open research gaps and possible directions for future work.
Further reading: https://arxiv.org/abs/2406.16350
Dietmar Jannach
Dietmar Jannach
Dietmar Jannach is a Professor at the University of Klagenfurt in Austria and at the University of Bergen, Norway. He has authored more than 150 publications in areas including recommender systems technology, knowledge-based systems development, constraint-based systems, semantic web applications and web mining, and software engineering. Among his publications, Jannach is a co-author of the book Recommender Systems: An Introduction. His current line of research is focused on the design and evaluation of machine learning algorithms for recommender systems and on the impact and value of recommender systems in practice.
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