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2010 – 2019
- 2016
[c16]David Hauger, Markus Schedl:
Music Tweet Map: A browsing interface to explore the microblogosphere of music. CBMI 2016: 1-4- [c15]Markus Schedl, David Hauger, Marko Tkalcic
, Mark S. Melenhorst, Cynthia C. S. Liem:
A dataset of multimedia material about classical music: PHENICX-SMM. CBMI 2016: 1-4 - 2015
- [c14]Markus Schedl, David Hauger, Katayoun Farrahi, Marko Tkalcic:
On the Influence of User Characteristics on Music Recommendation Algorithms. ECIR 2015: 339-345 - [c13]Markus Schedl, David Hauger:
Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty. SIGIR 2015: 947-950 - [c12]Marko Tkalcic, Bruce Ferwerda, David Hauger, Markus Schedl:
Personality Correlates for Digital Concert Program Notes. UMAP 2015: 364-369 - 2014
- [j1]Markus Schedl, David Hauger, Julián Urbano:
Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework. Multim. Syst. 20(6): 693-705 (2014) - [c11]Katayoun Farrahi, Markus Schedl, Andreu Vall, David Hauger, Marko Tkalcic:
Impact of Listening Behavior on Music Recommendation. ISMIR 2014: 483-488 - 2013
- [c10]David Hauger, Markus Schedl, Andrej Kosir, Marko Tkalcic:
The Million Musical Tweet Dataset - What We Can Learn From Microblogs. ISMIR 2013: 189-194 - 2012
- [c9]David Hauger, Markus Schedl:
Exploring Geospatial Music Listening Patterns in Microblog Data. Adaptive Multimedia Retrieval 2012: 133-146 - [c8]Klaus Seyerlehner, Markus Schedl, Reinhard Sonnleitner, David Hauger, Bogdan Ionescu:
From Improved Auto-Taggers to Improved Music Similarity Measures. Adaptive Multimedia Retrieval 2012: 193-202 - [c7]Markus Schedl, David Hauger, Dominik Schnitzer:
A model for serendipitous music retrieval. CaRR 2012: 10-13 - [c6]Markus Schedl, David Hauger:
Mining microblogs to infer music artist similarity and cultural listening patterns. WWW (Companion Volume) 2012: 877-886 - 2011
- [c5]David Hauger, Alexandros Paramythis, Stephan Weibelzahl:
Using Browser Interaction Data to Determine Page Reading Behavior. UMAP 2011: 147-158
2000 – 2009
- 2009
- [c4]David Hauger, Lex van Velsen:
Analyzing Client-Side Interactions to Determine Reading Behavior. LWA 2009: ABIS:11-16 - [c3]David Hauger:
Using Asynchronous Client-Side User Monitoring to Enhance User Modeling in Adaptive E-Learning Systems. AP WEB 2.0@UMAP 2009 - 2008
- [c2]David Hauger:
Fine-grained user models by means of asynchronous web technologies. LWA 2008: 17-19 - 2007
- [c1]David Hauger, Mirkam Köck:
State of the Art of Adaptivity in E-Learning Platforms. LWA 2007: 355-360
Coauthor Index
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