TagRec: Towards a standardized tag recommender benchmarking framework

HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media

Volumn , Issue , 2014, Pages 305-307

  Kowald, Dominik ^a   Lacic, Emanuel ^a   Trattner, Christoph ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

java; personalized tag recommendations; recommender evaluation; recommender framework

Indexed keywords

BENCHMARKING; DATA HANDLING; HYPERTEXT SYSTEMS; QUALITY CONTROL;

DATA PREPROCESSING; DEVELOPMENT PROCESS; HUMAN COGNITION; JAVA; PREDICTION QUALITY; RECOMMENDER EVALUATION; RECOMMENDER FRAMEWORK; TAG RECOMMENDATIONS;

RECOMMENDER SYSTEMS;

EID: 84907414004     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2631775.2631781     Document Type: Conference Paper

References (11)

1. I. Cantador, A. Bellogín, and D. Vallet. Content-based recommendation in social tagging systems. In Proceedings of the fourth ACM conference on Recommender systems, pages 237-240. ACM, 2010.
2. R. Jäschke, F. Eisterlehner, A. Hotho, and G. Stumme. Testing and evaluating tag recommenders in a live system. In Proceedings of the third ACM conference on Recommender systems, pages 369-372. ACM, 2009.
3. R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme. Tag recommendations in social bookmarking systems. Ai Communications, 21(4):231-247, 2008.
4. D. Kowald, P. Seitlinger, C. Trattner, and T. Ley. Forgetting the words but remembering the meaning: Modeling forgetting in a verbal and semantic tag recommender. arXiv preprint arXiv:1402.0728, 2014.
5. D. Kowald, P. Seitlinger, C. Trattner, and T. Ley. Long time no see: The probability of reusing tags as a function of frequency and recency. In Proc., WWW '14. ACM, 2014.
6. R. Krestel and P. Fankhauser. Language models and topic models for personalizing tag recommendation. In Proc., pages 82-89. IEEE, 2010.
7. L. Marinho, A. Nanopoulos, L. Schmidt-Thieme, R. Jäschke, A. Hotho, G. Stumme, and P. Symeonidis. Social tagging recommender systems. In F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, editors, Recommender Systems Handbook, pages 615-644. Springer US, 2011.
8. L. B. Marinho and L. Schmidt-Thieme. Collaborative tag recommendations. In Data Analysis, Machine Learning and Applications, pages 533-540. Springer, 2008.
9. S. Rendle and L. Schmidt-Thieme. Pairwise interaction tensor factorization for personalized tag recommendation. In Proc., WSDM '10. ACM, 2010.
10. P. Seitlinger, D. Kowald, C. Trattner, and T. Ley. Recommending tags with a model of human categorization. In Proc., CIKM '13, pages 2381-2386. ACM, 2013.
11. L. Zhang, J. Tang, and M. Zhang. Integrating temporal usage pattern into personalized tag prediction. In Web Technologies and Applications, pages 354-365. Springer, 2012.