25 citations · 42 across the 12 of their papers we have counts for
5 papers · 1 filter
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
Dietmar Jannach, Alan Said, Marko Tkalčič +1
In the area of recommender systems, the vast majority of research efforts is spent on developing increasingly sophisticated recommendation models, also using increasingly more comp…
Fashion Image-to-Image Translation for Complementary Item Retrieval
Matteo Attimonelli, Claudio Pomo, Dietmar Jannach +1
The increasing demand for online fashion retail has boosted research in fashion compatibility modeling and item retrieval, focusing on matching user queries (textual descriptions o…
A Survey on Intent-aware Recommender Systems
Dietmar Jannach, Markus Zanker
Many modern online services feature personalized recommendations. A central challenge when providing such recommendations is that the reason why an individual user accesses the ser…
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction
Adil Mukhtar, Dietmar Jannach, Franz Wotawa
Over the past few years, deep learning methods have been applied for a wide range of Software Engineering (SE) tasks, including in particular for the important task of automaticall…
Causal Learning for Trustworthy Recommender Systems: A Survey
Jin Li, Shoujin Wang, Qi Zhang +5
Recommender Systems (RS) have significantly advanced online content filtering and personalized decision-making. However, emerging vulnerabilities in RS have catalyzed a paradigm sh…