11 citations · 11 across the 3 of their papers we have counts for
3 papers
Whose Name Comes Up? III: Persona Prompting Effects in LLM-Based Scholar Recommendation
Annabella Sánchez-Guzmán, Lukas Eberhard, Denis Helic +1
Large language models (LLMs) are increasingly used as scholar recommenders, shaping who is seen as an expert in academia. Existing audits remain English-centric, single discipline,…
Large Language Models as Narrative-Driven Recommenders
Lukas Eberhard, Thorsten Ruprechter, Denis Helic
Narrative-driven recommenders aim to provide personalized suggestions for user requests expressed in free-form text such as "I want to watch a thriller with a mind-bending story, l…
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces
Emanuel Lacic, Dominik Kowald, Lukas Eberhard +3
Recent research has unveiled the importance of online social networks for improving the quality of recommender systems and encouraged the research community to investigate better w…