Simulations in various forms have been used to evaluate information access systems, like
search engines, recommender systems, or conversational agents. In the form of the …

This paper is a report of the Workshop on Simulations for Information Access (Sim4IA)
workshop at SIGIR 2024. The workshop had two keynotes, a panel discussion, nine …

Although online experiments, often in the form of A/B tests, are increasingly used by
academic researchers (with crowd-working platforms offering a large pool of artificial users) …

Recommender systems research and practice is a fast-developing topic with growing
adoption in a wide variety of information access scenarios. In this talk, I presented a …

In this paper, we will present our work on popularity-based relevance ranking within the
SSOAR open access repository system where we reused a popularity data-driven ranking …

Livings labs were introduced in CLEF and TREC by initiatives like NewsREEL [1], Open-
Search [2] or, more recently, LiLAS [3], with a particular focus on academic search …

Information Retrieval (IR) systems such as search engines or recommender systems face a
complex challenge: their goal is to select a handful of useful items out of potentially billions …