Long time no see: The probability of reusing tags as a function of frequency and recency

WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Volumn , Issue , 2014, Pages 463-468

  Kowald, Dominik ^a   Seitlinger, Paul ^a   Trattner, Christoph ^a   Ley, Tobias ^b  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b TALLINN UNIVERSITY   (Estonia)

Author keywords

ACT R; Base level learning equation; BibSonomy; CiteULike; Flickr; Human memory model; Personalized tag recommendations; Time dependent recommender systems

Indexed keywords

COLLABORATIVE FILTERING; RECOMMENDER SYSTEMS; SEMANTIC WEB;

ACT-R; BASE-LEVEL LEARNING EQUATION; BIBSONOMY; CITEULIKE; FLICKR; HUMAN MEMORY; TAG RECOMMENDATIONS; TIME DEPENDENT;

WORLD WIDE WEB;

EID: 84990929323     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567948.2576934     Document Type: Conference Paper

References (33)

1. J. R. Anderson, M. D. Byrne, S. Douglass, C. Lebiere, and Y. Qin. An integrated theory of the mind. Psychological Review, 111(4):1036-1050, 2004.
2. J. R. Anderson and L. J. Schooler. Reflections of the environment in memory. Psychological Science, 2(6):396-408, 1991.
3. V. Batagelj and M. Zaveršnik. Generalized cores. arXiv preprint cs/0202039, 2002.
4. P. G. Campos, F. Díez, and I. Cantador. Time-aware recommender systems: A comprehensive survey and analysis of existing evaluation protocols. User Modeling and User-Adapted Interaction, pages 1-53, 2013.
5. C. Cattuto, V. Loreto, and L. Pietronero. Semiotic dynamics and collaborative tagging. Proceedings of the National Academy of Sciences, 104(5):1461-1464, 2007.
6. K. Dellschaft and S. Staab. An epistemic dynamic model for tagging systems. In Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, HT '08, pages 71-80, New York, NY, USA, 2008. ACM.
7. S. Doerfel and R. Jäschke. An analysis of tag-recommender evaluation procedures. In Proceedings of the 7th ACM Conference on Recommender Systems, RecSys '13, pages 343-346, New York, NY, USA, 2013. ACM.
8. J. Gemmell, T. Schimoler, M. Ramezani, L. Christiansen, and B. Mobasher. Improving folkrank with item-based collaborative filtering. Recommender Systems & the Social Web, 2009.
9. H. Halpin, V. Robu, and H. Shepherd. The complex dynamics of collaborative tagging. In Proceedings of the 16th international conference on World Wide Web, WWW '07, pages 211-220, New York, NY, USA, 2007. ACM.
10. S. Hamouda and N. Wanas. Put-tag: personalized user-centric tag recommendation for social bookmarking systems. Social network analysis and mining, 1(4):377-385, 2011.
11. C. Held, J. Kimmerle, and U. Cress. Learning by foraging: The impact of individual knowledge and social tags on web navigation processes. Computers in Human Behavior, 28(1):34 - 40, 2012.
12. D. Helic, C. Körner, M. Granitzer, M. Strohmaier, and C. Trattner. Navigational efficiency of broad vs. narrow folksonomies. In Proceedings of the 23rd ACM conference on Hypertext and social media, HT '12, pages 63-72, New York, NY, USA, 2012. ACM.
13. A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Information retrieval in folksonomies: Search and ranking. In The semantic web: research and applications, pages 411-426. Springer, 2006.
14. R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme. Tag recommendations in folksonomies. In Knowledge Discovery in Databases: PKDD 2007, pages 506-514. Springer, 2007.
15. 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.
16. C. Körner, D. Benz, A. Hotho, M. Strohmaier, and G. Stumme. Stop thinking, start tagging: Tag semantics emerge from collaborative verbosity. In Proceedings of the 19th international conference on World wide web, WWW '10, pages 521-530, New York, NY, USA, 2010. ACM.
17. R. Krestel and P. Fankhauser. Language models and topic models for personalizing tag recommendation. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on, volume 1, pages 82-89. IEEE, 2010.
18. M. Lipczak. Hybrid Tag Recommendation in Collaborative Tagging Systems. PhD thesis, Dalhousie University, 2012.
19. J. Lorince and P. M. Todd. Can simple social copying heuristics explain tag popularity in a collaborative tagging system? In Proceedings of the 5th Annual ACM Web Science Conference, WebSci '13, pages 215-224, New York, NY, USA, 2013. ACM.
20. 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.
21. L. B. Marinho and L. Schmidt-Thieme. Collaborative tag recommendations. In Data Analysis, Machine Learning and Applications, pages 533-540. Springer, 2008.
22. C. Marlow, M. Naaman, D. Boyd, and M. Davis. Ht06, tagging paper, taxonomy, flickr, academic article, to read. In Proceedings of the seventeenth conference on Hypertext and hypermedia, HYPERTEXT '06, pages 31-40, New York, NY, USA, 2006. ACM.
23. J. McAuley and J. Leskovec. Hidden factors and hidden topics: Understanding rating dimensions with review text. In Proceedings of the ACM Conference Series on Recommender Systems, New York, NY, USA, 2013. ACM.
24. M. Rawashdeh, H.-N. Kim, J. M. Alja'am, and A. El Saddik. Folksonomy link prediction based on a tripartite graph for tag recommendation. Journal of Intelligent Information Systems, pages 1-19, 2012.
25. S. Rendle. Factorization machines. In Data Mining (ICDM), 2010 IEEE 10th International Conference on, pages 995-1000. IEEE, 2010.
26. S Rendle and L. Schmidt-Thieme. Pairwise interaction tensor factorization for personalized tag recommendation. In Proceedings of the third ACM international conference on Web search and data mining, WSDM '10, pages 81-90, New York, NY, USA, 2010. ACM..
27. J. B. Schafer, D. Frankowski, J. Herlocker, and S. Sen. Collaborative filtering recommender systems. In The adaptive web, pages 291-324. Springer, 2007.
28. P. Seitlinger, D. Kowald, C. Trattner, and T. Ley. Recommending tags with a model of human categorization. In The ACM International Conference on Information and Knowledge Managament, New York, NY, USA, 2013. ACM.
29. L. Steels. Semiotic dynamics for embodied agents. IEEE Intelligent Systems, 21(3):32-38, 2006.
30. R. Wetzker, C. Zimmermann, C. Bauckhage, and S. Albayrak. I tag, you tag: Translating tags for advanced user models. In Proceedings of the third ACM international conference on Web search and data mining, pages 71-80. ACM, 2010.
31. D. Yin, L. Hong, and B. D. Davison. Exploiting session-like behaviors in tag prediction. In Proceedings of the 20th international conference companion on World wide web, pages 167-168. ACM, 2011.
32. D. Yin, L. Hong, Z. Xue, and B. D. Davison. Temporal dynamics of user interests in tagging systems. In Twenty-Fifth AAAI conference on artificial intelligence, 2011.
33. 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.