Georg PardiCatalyzeX
www.catalyzex.com
Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, ...
Encyclopedia of Human Behavior, 2ePhilPapers
philpapers.org
Johannes von Hoyer, Anett Hoppe, Yvonne Kammerer, Christian Otto, Georg Pardi, Markus Rokicki, Ran Yu, Stefan Dietze, Ralph Ewerth & Peter Holtz
Online Searching: A Guide to Finding Quality Information ...google.de
books.google.de
... Johannes, Anett Hoppe, Yvonne Kammerer, Christian Otto, Georg Pardi, Markus Rokicki, Ran Yu, Stefan Dietze, Ralph Ewerth, and Peter Holtz
SaL-Lightning Dataset: Search and Eye Gaze Behavior ...arXiv
arxiv.org
— Authors:Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, ...
Preface to the Proceedings of the Third International ...CEUR-WS
ceur-ws.org
Markus Rokicki, Ran Yu, and Daniel Hienert. Web search has often been used as a starting point to learn. Search as Learning (SAL) research aims at supporting ...
The Search as Learning Spaceship: Toward a ...ReadCube Papers
www.readcube.com
Georg Pardi 1, Markus Rokicki 3, Ran Yu 5, Stefan Dietze 6,7, Ralph Ewerth 2,3 and Peter Holtz Knowledge Construction/Multimodal Interaction, ...
Analysing User Knowledge, Competence and Learning during Online Activ…
de.slideshare.net
LinkedIn SlideShare Tempelmeier (L3S) Ran Yu (L3S) Markus Rokicki (L3S) Renato Joao (L3S, PUC Rio) Acknowledgements: Team ...
Predicting User Knowledge Gain in Informational Search ...Uni Trier
dblp.uni-trier.de
— Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze: Predicting User Knowledge Gain in Informational Search ...
interactive information retrieval Latest Research PapersScienceGate
www.sciencegate.app
Information Retrieval ◽ s ◽ ◽. Author(s):. Ran Yu ◽. Rui Tang ◽. Markus Rokicki ◽. Ujwal Gadiraju ◽. Stefan Dietze.
List of Accepted Papers – AIED2021aied2021.science.uu.nl › list-of-accepted-papers
aied2021.science.uu.nl
Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze and Ralph Ewerth.
Stefan Dietze - dblpdblp.org › Persons
dblp.org
Ran Yu , Rui Tang, Markus Rokicki, Ujwal Gadiraju, Stefan Dietze: Topic-independent modeling of user knowledge in informational search sessions. Inf. Retr.
Artificial Intelligence in EducationSpringer
link.springer.com
Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe et al. Pages Deep Performance Factors Analysis for Knowledge ...
The 41st International ACM SIGIR Conference on Research ...researchr.org › publication › sigir-2018
researchr.org
[doi] · Predicting User Knowledge Gain in Informational Search Sessions Ran Yu 0001, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, ...
Alle Infos zum Namen "Markus Rokicki"
2021 | Ujwal GadirajuUjwal Gadiraju
ujwalgadiraju.com
Ran Yu, Rui Tang, Markus Rokicki, Ujwal Gadiraju, and Stefan Dietze. Information Retrieval Journal. [PDF]. [ECIR 2021] How Do Active Reading Strategies ...
CHIIR 2022Uni Regensburg
ai.ur.de
... Resource Interactions and Knowledge Gain during Web Search: Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, ...
Information retrieval (Boston)Fatcat.wiki
fatcat.wiki
Ran Yu, Rui Tang, Markus Rokicki, Ujwal Gadiraju, Stefan Dietze | Information retrieval (Boston) · doi: s
Topic-independent modeling of user knowledge in ...tudelft.nl
research.tudelft.nl
Topic-independent modeling of user knowledge in informational search sessions. Ran Yu*, Rui Tang, Markus Rokicki, Ujwal Gadiraju, Stefan Dietze. Part of collection. Institutional Repository. Document type. journal article. Rights. © Ran Yu, Rui Tang, Markus Rokicki, Ujwal Gadiraju, Stefan Dietze.
Paper sessionsECIR 2022
ecir2022.org
— Ran Yu, Rui Tang, Markus Rokicki, Ujwal Gadiraju, Stefan Dietze. Paper session 2 (14:00 – 15:30). Simulation Chair: Nicola Ferro.
The Search as Learning Spaceship: Toward a ...National Institutes of Health (.gov)
pubmed.ncbi.nlm.nih.gov
— Johannes von Hoyer , Anett Hoppe , Yvonne Kammerer , Christian Otto , Georg Pardi , Markus Rokicki , Ran Yu , Stefan Dietze , Ralph Ewerth ...
Predicting Knowledge Gain During Web Search Based on ...www.springerprofessional.de › predicting-knowledge-gain-during-web-sea...
www.springerprofessional.de
Autoren: Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth.
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