The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations
Author:
Affiliation:
1. Know-Center Graz & Graz University of Technology, Graz, Austria
2. Tallinn University, Tallinn, Estonia
Funder
H2020
Publisher
ACM Press
Reference6 articles.
1. Douglas L Hintzman. 1984. MINERVA 2: A simulation model of human memory. Behavior Research Methods, Instruments, & Computers Vol. 16, 2 (1984), 96--101.
2. Robert Jaschke, Folke Eisterlehner, Andreas Hotho, and Gerd Stumme. 2009. Testing and Evaluating Tag Recommenders in a Live System Proc. of RecSys'09. ACM, New York, NY, USA, 369--372.
3. Dominik Kowald and Elisabeth Lex. 2015. Evaluating tag recommender algorithms in real-world folksonomies: A comparative study Proc. of RecSys'15. ACM, 265--268.
4. Dominik Kowald and Elisabeth Lex. 2016. The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. In Proc. of HT'16. ACM, 237--242.
5. Paul Seitlinger, Dominik Kowald, Christoph Trattner, and Tobias Ley. 2013. Recommending tags with a model of human categorization Proc. of CIKM'13. ACM, 2381--2386.
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