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University of Tampere
School of Information Sciences

JÄRVELIN, Kalervo

D.Soc.Sci., Professor
University of Tampere, School of Information Sciences

Research Interests
Selected publications
Editorial Boards and Program Committees
Current Interests and Links

Date of last update: August 2, 2017

Suomeksi, kiitos...


Contacts

Tel: +358505479062
Fax: +358-3-219 1001
E-mail: "kalervo.jarvelin" "at" "uta" "dot" "fi"


Research interests

If you are interested in research evaluation through the Discounted Cumulated Impact index (see JASIST) 59(9): 1433-1440 (DOI: 10.1002/asi.20847), you can download DCI software at the DCI Download Site.
Publications

The full list of publications is available as a separate document.

Find the book:

Ingwersen, P. & Järvelin, K. (2005). The Turn: Integration of Information Seeking and Retrieval in Context. Heidelberg: Springer. ISBN 1-4020-3850-X. For more information on this book: Click here.

Selected publications in 2015-2017:

1. Pääkkönen, T., Kekäläinen, J., Keskustalo, H., Azzopardi, L., Maxwell, D., and Järvelin, K. (2017). Validating Simulated Interaction for Retrieval Evaluation. Journal of Information Retrieval 20(xx): 1-25. doi: 10.1007/s10791-017-9301-2 . (online May 6, 2017).

2. Saastamoinen, M. & Järvelin, K. (2017). Work task types, complexity and usage time of information resources: a field study of relationships. Journal of Information Science (JIS) xx(x): xx-x. doi: 10.1177/0165551516687726. (online 1st Jan, 2017).

3. Saastamoinen, M. & Järvelin, K. (2016). Search task features in work tasks of varying types and complexity. Journal of the Association for Information Science and Technology (JASIST) 68(5): 1111–1123. doi: 10.1002/asi.23766. (online 21st Dec, 2016).

4. Saastamoinen, M. & Järvelin, K. (2016). Queries in authentic work tasks: the effects of task type and complexity. Journal of Documentation 72(6): 1114-1133. doi: http://dx.doi.org/10.1108/JD-09-2015-0119. (online 3rd 09, 2016).

5. Mäkinen, I. & Järvelin, K. & Savolainen, R. & Sormunen, E. (2016). From library and in-formation science through information studies to information studies and interactive me-dia: emergence, expansion and integration of information studies at the university of Tampere illustrated in word clouds. Information Research 21(1), paper memo4. Online: http://InformationR.net/ir/21-1/memo/memo4.html .

6. Ferro, N. & Silvello, G. & Keskustalo, H. & Pirkola, A. & Jarvelin, K. (2016). The Twist Measure for IR Evaluation: Taking User’s Effort into Account. Journal of the Association for Information Science and Technology (JASIST) 67(3): 620-648. doi: 10.1002/asi.23416. (online 27th March, 2015).

7. Saarikoski, J, & Joutsijoki, H. & Järvelin, K. & Laurikkala, J. & Juhola, M (2015). On the influence of training data quality on text document classification using machine learning methods. Int. J. Knowledge Engineering and Data Mining, 3 (2): 143-168. DOI:-.

8. Järvelin, K. & al. (2015). Task-Based Information Interaction Evaluation: The Viewpoint of Program Theory. ACM Transaction of Information Systems (ACM TOIS) 33(1), Arti-cle 3, Special Issue on Contextual Search and Recommendation, 30p. DOI: http://dx.doi.org/10.1145/2699660

9. Skov, M., Järvelin, K. & Ingwersen, P. (2017). User-oriented and cognitive models of information retrieval. In: XX & al. (Eds.), Encyclopedia of Library and Information Scienc-es (ELIS), 4rd Ed. London, UK: Taylor & Francis, to appear.

10. Ong, K., Jarvelin, K., Sanderson, M. & Falk Scholer (2017). Using Information Scent to Understand Mobile and Desktop Web Search Behavior. In Kando, N & al. (eds.), Pro-ceedings of the 40th Annual Interna¬tional ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2017), Tokyo, Japan, 7-11 August 2017. ACM, New York, NY, USA, pp. xx-xx. DOI: http://dx.doi.org/xxx.

11. Järvelin, K. & Kekäläinen, J. (2016). Discounted Cumulated Gain. In: Liu, L. & Özsu, M.T. (Eds.) Encyclopedia of Database Systems. Springer New York. ISBN 978-1-4899-7993-3. 6 pp. DOI: 10.1007/978-1-4899-7993-3_478-2. [revised ed. of Järvelin, K. & Kekäläinen, J. (2009)]

12. Damessie, T., Scholer, F., Jarvelin, K. & Culpepper, S. (2016). The Effect of Document Order and Topic Difficulty on Assessor Agreement. In Carterette, B., Fang, H., Lalmas, M. & Nie, J-Y. (eds.), Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval. ACM, New York, NY, USA, pp. 73-76. DOI: http://dx.doi.org/10.1145/2970398.2970431

13. Pedersen, C., Simonsen, J., Jarvelin, K. & Lioma, C. (2016). Adaptive Distributional Extensions to DFR Ranking. In Bertino, Elsa & al. (eds.) CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management ACM, New York, NY, USA, pp. 2005-2008. doi>10.1145/2983323.2983895

14. Järvelin, K. (2016). Two Views on Theory Development for Interactive Information Retrieval. In: Sonnenwald, Diane (Ed.) Theory Development in Information Science: Re-flecting on the Process. Austin, TX: University of Texas Press, pp. 116-140. doi: 10.7560/308240

15. Pääkkönen, T., Järvelin, K., Kekäläinen, J., Keskustalo, H., Baskaya, F., Maxwell, D., & Azzopardi, L. (2015). Exploring Behavioral Dimensions in Session Effectiveness. In: Mothe, J. et al. (Eds.): CLEF 2015, LNCS 9283, pp. 1–12. DOI: 10.1007/978-3-319-24027-5_15

16. Maxwell, D. & Azzopardi, L. & Järvelin, K. & Keskustalo, H. (2015). Searching and Stopping: An Analysis of Stopping Rules and Strategies. In: Bailey, J. et al. (Eds.), Pro-ceedings of the 24th Interna¬tional Conference on Information and Knowledge Manage-ment (CIKM 2015), Melbourne, AU, Oct. 19-23 2015. New York, NY: ACM Press, pp. 313-322. doi: http://dx.doi.org/10.1145/2806416.2806476

17. Maxwell, D. & Azzopardi, L. & Järvelin, K. & Keskustalo, H. (2015). An Initial Investigation into Fixed and Adaptive Stopping Strategies. In: Baeza-Yates, R. et al. (Eds.), Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2015), Santiago, Chile, 9-13 August 2015. New York, NY: ACM Press, pp. 903-906. doi: http://dx.doi.org/10.1145/2766462.2767802

18. Verberne, S. & Sappelli, M. & Järvelin, K. & Kraaj, W. (2015). User simulations for exploratory search: evaluating personalized query suggestion. In: Proceedings of the 37th European Conference on Information Retrieval (ECIR 2015), Vienna, April 2015. Heidelberg: Springer, Lecture Notes in Computer Science, pp. 678-690, doi: 10.1007/978-3-319-16354-3.

The archive of the FIRE Research Group contains many downloadable documents. Please find them there!


Editorial Boards and Program Committees


Current Interests and Links

My current work is related to the following projects and efforts.


Current Ph.D Students, among others:

(*) co-superviser.


Former Ph.D Students:

(*) co-superviser.


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