Ran Yu
Zitiert von
Zitiert von
Analyzing knowledge gain of users in informational search sessions on the web
U Gadiraju, R Yu, S Dietze, P Holtz
Proceedings of the 2018 Conference on Human Information Interaction …, 2018
Predicting user knowledge gain in informational search sessions
R Yu, U Gadiraju, P Holtz, M Rokicki, P Kemkes, S Dietze
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
Tweetscov19-a knowledge base of semantically annotated tweets about the covid-19 pandemic
D Dimitrov, E Baran, P Fafalios, R Yu, X Zhu, M Zloch, S Dietze
Proceedings of the 29th ACM International Conference on Information …, 2020
Current challenges for studying search as learning processes
A Hoppe, P Holtz, Y Kammerer, R Yu, S Dietze, R Ewerth
7th Workshop on Learning & Education with Web Data (LILE2018), in …, 2018
KnowMore–knowledge base augmentation with structured web markup
R Yu, U Gadiraju, B Fetahu, O Lehmberg, D Ritze, S Dietze
Semantic Web 10 (1), 159-180, 2019
Towards entity summarisation on structured web markup
R Yu, U Gadiraju, X Zhu, B Fetahu, S Dietze
European Semantic Web Conference, 69-73, 2016
Analysing and improving embedded markup of learning resources on the web
S Dietze, D Taibi, R Yu, P Barker, M d'Aquin
Proceedings of the 26th international conference on world wide web companion …, 2017
A Survey on Challenges in Web Markup Data for Entity Retrieval.
R Yu, B Fetahu, U Gadiraju, S Dietze
International Semantic Web Conference (Posters & Demos), 17-21, 2016
Enrichment and preservation of architectural knowledge
J Beetz, I Blümel, S Dietze, B Fetahui, U Gadiraju, M Hecher, T Krijnen, ...
3D Research Challenges in Cultural Heritage II, 231-255, 2016
Adaptive focused crawling of linked data
R Yu, U Gadiraju, B Fetahu, S Dietze
International Conference on Web Information Systems Engineering, 554-569, 2015
Fusem: Query-centric data fusion on structured web markup
R Yu, U Gadiraju, B Fetahu, S Dietze
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 179-182, 2017
Analysing structured scholarly data embedded in web pages
P Sahoo, U Gadiraju, R Yu, S Saha, S Dietze
International Workshop on Semantic, Analytics, Visualization, 90-100, 2016
Detecting, understanding and supporting everyday learning in web search
R Yu, U Gadiraju, S Dietze
arXiv preprint arXiv:1806.11046, 2018
Topic-independent modeling of user knowledge in informational search sessions
R Yu, R Tang, M Rokicki, U Gadiraju, S Dietze
Information Retrieval Journal 24 (3), 240-268, 2021
于然, 刘春阳, 靳小龙, 王元卓, 程学旗
山东大学学报 (理学版) 48 (11), 53-58, 2013
Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption
C Otto, R Yu, G Pardi, J von Hoyer, M Rokicki, A Hoppe, P Holtz, ...
International Conference on Artificial Intelligence in Education, 318-330, 2021
SALMM'19: First International Workshop on Search as Learning with Multimedia Information
R Ewerth, S Dietze, A Hoppe, R Yu
Proceedings of the 27th ACM International Conference on Multimedia, 2724-2725, 2019
IWILDS'20: The 1st International Workshop on Investigating Learning during Web Search
A Hoppe, R Yu, Y Kammerer, L Salmerón
Proceedings of the 29th ACM International Conference on Information …, 2020
Lile2019: 8th international workshop on learning and education with web data
R Yu, M d'Aquin, D Gasevic, J Kimmerle, E Herder, R Ewerth
Companion Publication of the 10th ACM Conference on Web Science, 15-16, 2019
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
C Otto, M Rokicki, G Pardi, W Gritz, D Hienert, R Yu, J von Hoyer, ...
arXiv preprint arXiv:2201.02339, 2022
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