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Daniel Hienert
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- affiliation: GESIS, Köln, Germany
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2020 – today
- 2024
- [c38]Daniel Hienert
, Heiko Schmidt
EyeLiveMetrics: Real-time Analysis of Online Reading with Eye Tracking. ETRA 2024: 81:1-81:7 - [c37]Kevin Schott
What Did I Say Again? Relating User Needs to Search Outcomes in Conversational Commerce. MuC 2024: 129-139 - [i35]Kevin Schott, Andrea Papenmeier, Daniel Hienert, Dagmar Kern:
What Did I Say Again? Relating User Needs to Search Outcomes in Conversational Commerce. CoRR abs/2410.01291 (2024) - 2023
- [c36]Andrea Papenmeier
Know What Not To Know: Users' Perception of Abstaining Classifiers. Conference on Designing Interactive Systems (Companion Volume) 2023: 169-172 - [i34]Ricardo Schiffers, Dagmar Kern, Daniel Hienert:
Evaluation of Word Embeddings for the Social Sciences. CoRR abs/2302.06174 (2023) - [i33]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Alfred Sliwa, Ahmet Aker, Norbert Fuhr:
Starting Conversations with Search Engines - Interfaces that Elicit Natural Language Queries. CoRR abs/2302.06349 (2023) - [i32]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Alfred Sliwa, Ahmet Aker, Norbert Fuhr:
Dataset of Natural Language Queries for E-Commerce. CoRR abs/2302.06355 (2023) - [i31]Andrea Papenmeier, Daniel Hienert, Firas Sabbah, Norbert Fuhr, Dagmar Kern:
UNDR: User-Needs-Driven Ranking of Products in E-Commerce. CoRR abs/2302.06398 (2023) - [i30]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert:
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes. CoRR abs/2302.06413 (2023) - [i29]Dagmar Kern, Wilko van Hoek, Daniel Hienert:
Evaluation of a Search Interface for Preference-Based Ranking - Measuring User Satisfaction and System Performance. CoRR abs/2302.06440 (2023) - [i28]Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer, Christin Seifert, Dagmar Kern:
Know What Not To Know: Users' Perception of Abstaining Classifiers. CoRR abs/2309.05443 (2023) - 2022
- [j4]Tobias Backes
Towards hierarchical affiliation resolution: framework, baselines, dataset. Int. J. Digit. Libr. 23(3): 267-288 (2022) - [j3]Georg Pardi
Examining the use of text and video resources during web-search based learning - a new methodological approach. New Rev. Hypermedia Multim. 28(1-2): 39-67 (2022) - [c35]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer, Christin Seifert:
How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes. CHI 2022: 180:1-180:13 - [c34]Christian Otto
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search. CHIIR 2022: 347-352 - [c33]Markus Rokicki, Ran Yu, Daniel Hienert:
Learning to Rank for Knowledge Gain. INRA/IWILDS@SIGIR 2022: 60-68 - [i27]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:
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search. CoRR abs/2201.02339 (2022) - [i26]Timo Breuer, Narges Tavakolpoursaleh, Johann Schaible, Daniel Hienert, Philipp Schaer, Leyla Jael Castro:
Online Information Retrieval Evaluation using the STELLA Framework. CoRR abs/2210.13202 (2022) - 2021
- [j2]Matthäus Zloch
Charaterizing RDF graphs through graph-based measures - framework and assessment. Semantic Web 12(5): 789-812 (2021) - [c32]Andrea Papenmeier, Thomas Krämer, Tanja Friedrich
Genuine Information Needs of Social Scientists Looking for Data. ASIST 2021: 292-302 - [c31]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Alfred Sliwa, Ahmet Aker, Norbert Fuhr:
Starting Conversations with Search Engines - Interfaces that Elicit Natural Language Queries. CHIIR 2021: 261-265 - [c30]Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Alfred Sliwa, Ahmet Aker, Norbert Fuhr:
Dataset of Natural Language Queries for E-Commerce. CHIIR 2021: 307-311 - 2020
- [c29]Andrea Papenmeier, Alfred Sliwa, Dagmar Kern, Daniel Hienert, Ahmet Aker, Norbert Fuhr:
'A Modern Up-To-Date Laptop' - Vagueness in Natural Language Queries for Product Search. Conference on Designing Interactive Systems 2020: 2077-2089 - [c28]Masoud Davari, Daniel Hienert, Dagmar Kern, Stefan Dietze:
The Role of Word-Eye-Fixations for Query Term Prediction. CHIIR 2020: 422-426 - [i25]Masoud Davari, Daniel Hienert, Dagmar Kern, Stefan Dietze:
The Role of Word-Eye-Fixations for Query Term Prediction. CoRR abs/2008.02017 (2020) - [i24]Andrea Papenmeier, Alfred Sliwa, Dagmar Kern, Daniel Hienert, Ahmet Aker, Norbert Fuhr:
'A Modern Up-To-Date Laptop' - Vagueness in Natural Language Queries for Product Search. CoRR abs/2008.02114 (2020)
2010 – 2019
- 2019
- [c27]Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. CHIIR 2019: 73-81 - [c26]Dagmar Kern, Daniel Hienert, Katrin Angerbauer, Tilman Dingler
Lessons Learned from Users Reading Highlighted Abstracts in a Digital Library. CHIIR 2019: 271-275 - [c25]Matthäus Zloch
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs. ESWC 2019: 523-539 - [c24]Daniel Hienert, Dagmar Kern, Katarina Boland, Benjamin Zapilko, Peter Mutschke:
A Digital Library for Research Data and Related Information in the Social Sciences. JCDL 2019: 148-157 - [c23]Daniel Hienert, Dagmar Kern:
Recognizing Topic Change in Search Sessions of Digital Libraries Based on Thesaurus and Classification System. JCDL 2019: 297-300 - [i23]Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin:
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. CoRR abs/1902.04262 (2019) - [i22]Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Dietze, Stefan Conrad:
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs. CoRR abs/1907.01885 (2019) - [i21]Dagmar Kern, Daniel Hienert:
Understanding the Information needs of Social Scientists in Germany. CoRR abs/1909.08876 (2019) - [i20]Daniel Hienert, Dagmar Kern, Katarina Boland, Benjamin Zapilko, Peter Mutschke:
A Digital Library for Research Data and Related Information in the Social Sciences. CoRR abs/1909.10731 (2019) - [i19]Daniel Hienert, Dagmar Kern:
Recognizing Topic Change in Search Sessions of Digital Libraries based on Thesaurus and Classification System. CoRR abs/1909.10736 (2019) - 2018
- [c22]Dagmar Kern, Daniel Hienert:
Understanding the information needs of social scientists in Germany. ASIST 2018: 234-243 - [c21]Daniel Hienert
The Role of the Task Topic in Web Search of Different Task Types. CHIIR 2018: 72-81 - [c20]Dagmar Kern, Wilko van Hoek, Daniel Hienert:
Evaluation of a search interface for preference-based ranking: measuring user satisfaction and system performance. NordiCHI 2018: 184-194 - [i18]Daniel Hienert, Matthew Mitsui, Philipp Mayr, Chirag Shah, Nicholas J. Belkin:
The Role of the Task Topic in Web Search of Different Task Types. CoRR abs/1808.06813 (2018) - [i17]Daniel Hienert:
User Interests in German Social Science Literature Search - A Large Scale Log Analysis. CoRR abs/1808.06815 (2018) - [i16]Daniel Hienert, Peter Mutschke:
A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services. CoRR abs/1808.06818 (2018) - [i15]Daniel Hienert, Maria Lusky:
Where Do All These Search Terms Come From? - Two Experiments in Domain-Specific Search. CoRR abs/1809.02407 (2018) - [i14]Daniel Hienert, Dagmar Kern:
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search. CoRR abs/1809.02409 (2018) - [i13]Nicholas J. Belkin, Daniel Hienert, Philipp Mayr, Chirag Shah:
Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper. CoRR abs/1809.02412 (2018) - [i12]Daniel Hienert, Peter Mutschke:
Challenges for Measuring Usefulness of Interactive IR Systems with Log-based Approaches. CoRR abs/1809.02413 (2018) - 2017
- [c19]Daniel Hienert
User Interests in German Social Science Literature Search: A Large Scale Log Analysis. CHIIR 2017: 7-16 - [c18]Nicholas J. Belkin, Daniel Hienert, Philipp Mayr, Chirag Shah:
Data Requirements for Evaluation of Personalization of Information Retrieval. A Position Paper. CLEF (Working Notes) 2017 - [c17]Daniel Hienert
Where Do All These Search Terms Come From? - Two Experiments in Domain-Specific Search. ECIR 2017: 15-26 - [c16]Daniel Hienert
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search. ICTIR 2017: 249-252 - [c15]Matthäus Zloch, Daniel Hienert, Stefan Conrad:
Towards a Use Case Driven Evaluation of Database Systems for RDF Data Storage - A Case Study for Statistical Data. BLINK/NLIWoD3@ISWC 2017 - 2016
- [c14]Daniel Hienert
A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services. CHIIR 2016: 153-162 - 2015
- [j1]Daniel Hienert
Digital Library Research in Action: Supporting Information Retrieval in Sowiport. D Lib Mag. 21(3/4) (2015) - [c13]Daniel Hienert, Wilko van Hoek, Alina Weber, Dagmar Kern:
WHOSE - A Tool for Whole-Session Analysis in IIR. ECIR 2015: 172-183 - [i11]Daniel Hienert, Wilko van Hoek, Alina Weber, Dagmar Kern:
WHOSE - A Tool for Whole-Session Analysis in IIR. CoRR abs/1504.06961 (2015) - [i10]Daniel Hienert, Dennis Wegener, Siegfried Schomisch:
Making sense of Open Data Statistics with Information from Wikipedia. CoRR abs/1504.06966 (2015) - [i9]Daniel Hienert, Dennis Wegener, Siegfried Schomisch:
Exploring semantically-related concepts from Wikipedia: the case of SeRE. CoRR abs/1504.07071 (2015) - 2014
- [c12]Christoph Schaefer, Daniel Hienert
Normalized Relevance Distance - A Stable Metric for Computing Semantic Relatedness over Reference Corpora. ECAI 2014: 789-794 - 2013
- [b1]Daniel Hienert:
Interaktive Visualisierungen für den Linking- und Suchprozess heterogener Informationen im Web. University of Koblenz-Landau, 2013 - [c11]Daniel Hienert
Making Sense of Open Data Statistics with Information from Wikipedia. CD-ARES 2013: 329-344 - [i8]Dimitar Dimitrov, Daniel Hienert, Katarina Boland, Dennis Wegener:
Linking Research Data and Literature: Integration of da|ra and Sowiport based on Link Information from InFoLiS. IASSIST Conference 2013 - 2012
- [c10]Philipp Schaer, Daniel Hienert, Frank Sawitzki, Andias Wira-Alam, Thomas Lüke:
Dealing with Sparse Document and Topic Representations: Lab Report for CHiC 2012. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c9]Daniel Hienert, Frank Sawitzki, Philipp Schaer, Philipp Mayr:
Integrating Interactive Visualizations in the Search Process of Digital Libraries and IR Systems. ECIR 2012: 447-450 - [c8]Daniel Hienert
Extraction of Historical Events from Wikipedia. ESWC (Satellite Events) 2012: 16-28 - [c7]Daniel Hienert, Francesco Luciano:
Extraction of Historical Events from Wikipedia. KNOW@LOD 2012: 25-36 - [c6]Daniel Hienert
Visualizations in exploratory search: a user study with stock market information. I-KNOW 2012: 25 - [c5]Daniel Hienert, Dennis Wegener, Heiko Paulheim:
Automatic Classification and Relationship Extraction for Multi-Lingual and Multi-Granular Events from Wikipedia. DeRiVE@ISWC 2012: 1-10 - [i7]Daniel Hienert, Frank Sawitzki, Philipp Schaer, Philipp Mayr:
Integrating Interactive Visualizations in the Search Process of Digital Libraries and IR Systems. CoRR abs/1201.2515 (2012) - [i6]Daniel Hienert, Francesco Luciano:
Extraction of Historical Events from Wikipedia. CoRR abs/1205.4138 (2012) - [i5]Philipp Schaer, Daniel Hienert, Frank Sawitzki, Andias Wira-Alam, Thomas Lüke:
Dealing with Sparse Document and Topic Representations: Lab Report for CHiC 2012. CoRR abs/1208.3952 (2012) - [i4]Daniel Hienert, Philipp Mayr:
Visualizations in Exploratory Search: A User Study with Stock Market Information. CoRR abs/1209.2244 (2012) - 2011
- [c4]Daniel Hienert
Web-based multi-view visualizations for aggregated statistics. Mashups/Dataview@ECOWS 2011: 11:1-11:8 - [c3]Daniel Hienert, Philipp Schaer, Johann Schaible, Philipp Mayr:
A Novel Combined Term Suggestion Service for Domain-Specific Digital Libraries. TPDL 2011: 192-203 - [c2]Daniel Hienert, Benjamin Zapilko, Philipp Schaer
Vizgr: Linking Data in Visualizations. WEBIST (Selected Papers) 2011: 177-191 - [c1]Daniel Hienert, Benjamin Zapilko, Philipp Schaer, Brigitte Mathiak:
Vizgr - Combining Data on a Visual Level. WEBIST 2011: 202-211 - [i3]Daniel Hienert, Benjamin Zapilko, Philipp Schaer, Brigitte Mathiak:
VIZGR: Combining Data on a Visual Level. CoRR abs/1104.5377 (2011) - [i2]Daniel Hienert, Philipp Schaer, Johann Schaible, Philipp Mayr:
A Novel Combined Term Suggestion Service for Domain-Specific Digital Libraries. CoRR abs/1106.1523 (2011) - [i1]Daniel Hienert, Benjamin Zapilko, Philipp Schaer, Brigitte Mathiak:
Web-Based Multi-View Visualizations for Aggregated Statistics. CoRR abs/1110.3126 (2011)
Coauthor Index
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