25 citations · 42 across the 12 of their papers we have counts for
8 papers · 1 filter
Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
Marlene Holzleitner, Stephan Leitner, Hanna Lind Jorgensen +3
Personalized news recommendations have become a standard feature of large news aggregation services, optimizing user engagement through automated content selection. In contrast, le…
Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
Matteo Attimonelli, Alessandro De Bellis, Claudio Pomo +3
Pre-trained language models (PLMs) are widely used to derive semantic representations from item metadata in recommendation and search. In sequential recommendation, PLMs enhance ID…
Calibrated Recommendations: Survey and Future Directions
Diego Corrêa da Silva, Dietmar Jannach
The idea of calibrated recommendations is that the properties of the items that are suggested to users should match the distribution of their individual past preferences. Calibrati…
Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support
Dietmar Jannach, Amra Delić, Francesco Ricci +1
More than twenty-five years ago, first ideas were developed on how to design a system that can provide recommendations to groups of users instead of individual users. Since then, a…
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…
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…