Recommender systems have been researched extensively over the past decades. Whereas
several algorithms have been developed and deployed in various application domains …

Automated recommendations have become a ubiquitous part of today's online user
experience. These systems point us to additional items to purchase in online shops, they …

Recent years have witnessed the wide adoption of large language models (LLM) in different
fields, especially natural language processing and computer vision. Such a trend can also …

Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …

As algorithms increasingly take managerial and governance roles, it is ever more important
to build them to be perceived as fair and adopted by people. With this goal, we propose a …

Social media platforms moderate content for each user by incorporating the outputs of both
platform-wide content moderation systems and, in some cases, user-configured personal …

Online symptom checkers (OSC) are widely used intelligent systems in health contexts such
as primary care, remote healthcare, and epidemic control. OSCs use algorithms such as …

User control and human-AI collaboration are two related directions of research in the
modern stream of work on human-centered AI. The field of AI in education was an early …

Recommender systems (RS) are on the rise in many domains. While they offer great
promises, they also raise concerns: lack of transparency, reduction of diversity, little to no …

In recent years, researchers in the field of recommender systems have explored a range of
advanced interfaces to improve user interactions with recommender systems. Some of the …