48 citations · 92 across the 10 of their papers we have counts for
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Overview of LiLAS 2020 -- Living Labs for Academic Search
Philipp Schaer, Johann Schaible, Leyla Jael Garcia Castro
Academic Search is a timeless challenge that the field of Information Retrieval has been dealing with for many years. Even today, the search for academic material is a broad field…
Living Lab Evaluation for Life and Social Sciences Search Platforms -- LiLAS at CLEF 2021
Philipp Schaer, Johann Schaible, Leyla Jael Castro
Meta-evaluation studies of system performances in controlled offline evaluation campaigns, like TREC and CLEF, show a need for innovation in evaluating IR-systems. The field of aca…
Online Information Retrieval Evaluation using the STELLA Framework
Timo Breuer, Narges Tavakolpoursaleh, Johann Schaible +3
Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in product…
Overview of LiLAS 2021 -- Living Labs for Academic Search
Philipp Schaer, Timo Breuer, Leyla Jael Castro +3
The Living Labs for Academic Search (LiLAS) lab aims to strengthen the concept of user-centric living labs for academic search. The methodological gap between real-world and lab-ba…
RARD: The Related-Article Recommendation Dataset
Joeran Beel, Zeljko Carevic, Johann Schaible +1
Recommender-system datasets are used for recommender-system evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recomm…