428 citations · 3.6k across the 40 of their papers we have counts for
8 papers · 1 filter
A Black-Box Attack Model for Visually-Aware Recommender Systems
Rami Cohen, Oren Sar Shalom, Dietmar Jannach +1
Due to the advances in deep learning, visually-aware recommender systems (RS) have recently attracted increased research interest. Such systems combine collaborative signals with i…
Session-aware Recommendation: A Surprising Quest for the State-of-the-art
Sara Latifi, Noemi Mauro, Dietmar Jannach
Recommender systems are designed to help users in situations of information overload. In recent years, we observed increased interest in session-based recommendation scenarios, whe…
Digital Nudging with Recommender Systems: Survey and Future Directions
Mathias Jesse, Dietmar Jannach
Recommender systems are nowadays a pervasive part of our online user experience, where they either serve as information filters or provide us with suggestions for additionally rele…
Exploring Longitudinal Effects of Session-based Recommendations
Andres Ferraro, Dietmar Jannach, Xavier Serra
Session-based recommendation is a problem setting where the task of a recommender system is to make suitable item suggestions based only on a few observed user interactions in an o…
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi +1
In recent years, algorithm research in the area of recommender systems has shifted from matrix factorization techniques and their latent factor models to neural approaches. However…
Hybrid Session-based News Recommendation using Recurrent Neural Networks
Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha
We describe a hybrid meta-architecture -- the CHAMELEON -- for session-based news recommendation that is able to leverage a variety of information types using Recurrent Neural Netw…
A systematic review and taxonomy of explanations in decision support and recommender systems
Ingrid Nunes, Dietmar Jannach
With the recent advances in the field of artificial intelligence, an increasing number of decision-making tasks are delegated to software systems. A key requirement for the success…
A Survey on Conversational Recommender Systems
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai +1
Recommender systems are software applications that help users to find items of interest in situations of information overload. Current research often assumes a one-shot interaction…