no code implementations • 13 Feb 2023 • Dagmar Kern, Wilko van Hoek, Daniel Hienert
Faceted search interfaces, often in combination with recommenders, can support users in finding a product that fits their preferences.
no code implementations • 13 Feb 2023 • Andrea Papenmeier, Daniel Hienert, Firas Sabbah, Norbert Fuhr, Dagmar Kern
As a user-centered approach that does not rely on post-purchase ratings or reviews, our method bypasses the cold-start problem while still reflecting the needs of an average customer.
no code implementations • 13 Feb 2023 • Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Alfred Sliwa, Ahmet Aker, Norbert Fuhr
Shopping online is more and more frequent in our everyday life.
no code implementations • 13 Feb 2023 • Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Alfred Sliwa, Ahmet Aker, Norbert Fuhr
Search systems on the Web rely on user input to generate relevant results.
no code implementations • LaTeCHCLfL (COLING) 2022 • Ricardo Schiffers, Dagmar Kern, Daniel Hienert
In the evaluation, we compare domain-specific and general language models for (i) language coverage, (ii) diversity, and (iii) semantic relationships.
no code implementations • 24 Oct 2022 • Timo Breuer, Narges Tavakolpoursaleh, Johann Schaible, Daniel Hienert, Philipp Schaer, Leyla Jael Castro
Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning.
no code implementations • 7 Jan 2022 • Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, Yvonne Kammerer, Ralph Ewerth
The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems.
no code implementations • 5 Aug 2020 • Masoud Davari, Daniel Hienert, Dagmar Kern, Stefan Dietze
We investigate the relationship between a range of in-session features, in particular, gaze data, with the query terms and train models for predicting query terms.
no code implementations • 24 Sep 2019 • Daniel Hienert, Dagmar Kern
Different methods have been proposed to segment a user session to different topics based on timeouts, lexical analysis, query similarity or external knowledge sources.
no code implementations • 19 Sep 2019 • Dagmar Kern, Daniel Hienert
The information needs of social science researchers are manifold and almost studied in every decade since the 1950s.
no code implementations • 12 Feb 2019 • Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin
In Interactive Information Retrieval (IIR) experiments the user's gaze motion on web pages is often recorded with eye tracking.
no code implementations • 27 Apr 2015 • Daniel Hienert, Dennis Wegener, Siegfried Schomisch
In this paper we present our web application SeRE designed to explore semantically related concepts.