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Bibliography: From Ultra-light to Naturalistic IR Interaction. By Peter Ingwersen Royal School of LIS Birketinget 6, DK 2300 Copenhagen S Denmark pi@db.dk Methodological Issues Research Design Baeza-Yates, R. & Ribeiro, R.


  1. Bibliography: From ’Ultra-light’ to Naturalistic IR Interaction. By Peter Ingwersen Royal School of LIS Birketinget 6, DK 2300 Copenhagen S – Denmark pi@db.dk Methodological Issues – Research Design Baeza-Yates, R. & Ribeiro, R. (1999), Eds. Modern Information Retrieval. Wokingham, UK: Addison-Wesley. Belew, R.K. (2000). Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW. Cambridge, UK: Cambridge University Press. Borlund, P. (2003b): The IIR evaluation model: A framework for evaluation of interactive information retrieval systems. Information Research , 8(3), paper no. 152. [http://informationr.net/ir/8-3/paper152.html] Ericsson, K. A. & Simon, H. A. (1996). Protocol analysis: Verbal reports as data Cambridge, MA: The MIT Press. (2 nd Rev.ed.) Fidel, R. (1993). Qualitative methods in information retrieval research. Library and Information Science Research, 15 (3): 219-247. Fidel, R. & Soergel, D. (1983). Factors affecting online bibliographic retrieval: A conceptual framework for research. Journal of the American Society for Information Science, 34 (3): 163-180. Frankfort-Nachmias, C. & Nachmias, D. (2000). Research Methods in the Social Sciences. 6th ed. New York: Worth Publishers. xxi, 550 p Hawking, D., Voorhees, E., Craswell, N. & Bailey, P. (2000). Overview of TREC-8 Web Track. In: Voorhees, E.M. & Harman, D.K. (Eds.) TREC 8 Proc. : 131-150. http://trec.nist.gov/pubs/ . Hersh, W., Pentecost, J. & Hickam, D. (1996). A task oriented approach to information retrieval evaluation. JASIS, 47 (1): 50-56. Ingwersen, P. & Järvelin, K. (2005) The Turn: Integration of Information Seeking and Retrieval in Context . Berlin, Germany: Springer. Ingwersen, P. & Järvelin, K. (2007). On the holistic cognitive theory for information retrieval Drifting Outside the Cave of the Laboratory Framework. In: Dominich, S & Kisss, F. (eds.): Studies in Theory of Information Retrieval. Budapest: Foundation for Information Society:135-147. Ingwersen, P. & Willett, P. (1995). An introduction to algorithmic and cognitive approaches for information retrieval. Libri, 45: 160-177. Järvelin, K. (2007). An analysis of two approaches in Information Retrieval: From frameworks to study designs. Journal of the American Society for Information Science and Technology , 58(7): 971–986. Kekäläinen, J. & Järvelin, K. (2002). User-oriented evaluation methods for information retrieval: A case study based on conceptual models for query expansion. In: Lakemeyer, G. & Nebel, B. (Eds.) Exploring Artificial Intelligence in the New Millennium. San Francisco: Morgan Kaufmann Publishers: 355-379. Saracevic, T., Kantor, P., Chamis, A. & Trivison, D. (1988). A study of information seeking and retrieving. I. Background and methodology. JASIS, 39 (3): 161-176. Tague, J. & Schultz, R. (1988). Some measures and procedures for evaluation of the userinterface in an information retrieval system. ACM SIGIR 1988 Proc.: 371-385. Teevan, J., Alvarado, C., Ackerman, M. S. & Karger, D. R. (2004). The perfect search engine is not enough: A study of orienteering behavior in directed search. ACM-CHI 2004: 415-422.

  2. Relevance & Performance Measure Issues in Interactive IR Barry, C. & Schamber, L. (1998). User’s criteria for relevance evaluation: A cross situational comparison. Information Processing & Management , 34(2/3): 219-236. Borlund, P. (2003a). The concept of relevance in IR. JASIST , 54(10): 913-925. Cosijn, E. & Ingwersen, P. (2000). Dimensions of relevance. Information Processing & Management, 36 : 533-550. Czerwinski, M., Horvitz, E. & Cutrell, E. (2001). Subjective duration assessment: An implicit probe for software usability. IHM-HCI 2001 Conf. Proc. : 167-170. Frokjaer, E., Hertzum, M. & Hormbaek, K. (2000). Measuring usability: Are effectiveness, efficiency, and satisfaction really correlated? ACM CHI 2000: 345-352. Järvelin, K. & Kekäläinen, J. (2000). IR evaluation methods for highly relevant documents. In: Belkin, N.J., Ingwersen, P. & Leong, M.-K. (Eds.) , ACM SIGIR 2000 Proc .: 41-48. Järvelin, K. & Kekäläinen, J. (2002). Cumulated gain-based evaluation of IR techniques. ACM Transactions on Information Systems (ACM TOIS), 20 (4): 422-446. Käki, M. (2004). Proportional search interface usability measures. NordiCHI 2004 Proc.: 365-372. Kekäläinen, J. (2005). Binary and graded relevance in IR evaluations - Comparison of the effects on ranking of IR systems. Information Processing & Management, 41 (5): 1019-1033. Kekäläinen, J. & Järvelin, K. (2002). Using graded relevance assessments in IR evaluation. Journal of the American Society for Information Science and Technology, 53 (13): 1120-1129. Larsen, B., Malik, S. & Tombros, A. (2006). The interactive track at INEX2005. In: Fuhr, N., Lalmas, M., Malik, S. and Kazai, G. (Eds.), INEX 2005 . Berlin: Springer: 398-410. Lun, A. M. (2001). Measuring usability with the USE Questionnaire. STC Usability SIG Newsletter, 8 (2), http://www.stcsig.org/usability/newsletter/0110_measuring_with_use.html (Checked June 15, 08). Nielsen, J. (2003). Usability 101: Introduction to usability. http://www.useit.com/alertbox/20030825.html Checked June 15, 08). Salojärvi, J., Kojo, I., Simola J. & Kaski, S. (2003). Can relevance be inferred from eye movements in information retrieval? In: Proc. of WSOM’03, Workshop on Self-Org. Maps . Kyushu Institute of Technology, Kitakyushu, Japan: 261-266. Spink, A., Greisdorf, H. & Bateman, J. (1998). From highly relevant to not relevant: Examining different regions of relevance. Information Processing & Management, 34 (5): 599-621. Vakkari, P. & Sormunen, E. (2004). The influence of relevance levels on the effectiveness of interactive information retrieval. JASIST, 55 (11): 963-969. Voorhees, E.M. (1998). Variations in relevance judgments and the measurement of retrieval effectiveness. In: ACM-SIGIR1998 Proc .: 315-323. Laboratory Experiments – IR Simulations Croft, W.B. & Thomson, R.H. (1987). I3R: A new approach to the design of document retrieval systems. Journal of the American Society for Information Science, 38 (6): 389-404. Dennis, S., Bruza, P. & McArthur, R. (2001). Web searching: A progress-oriented experimental study of three interactive search paradigms. JASIST, 53 (2): 120-133. Magennis, M. & van Rijsbergen, C.J. (1997). The potential and actual effectiveness of interactive query expansion. In: Belkin, N. J., Narasimhalu, A. D. & Willett, P. (Eds.), ACM SIGIR 1997 Proc. : 324-332. White, R.W. (2006). Using searcher simulations to redesign a polyrepresentative implicit feedback interface. Information Processing & Management , vol. 42(5): 1185-1202. White, R.W., Ruthven, I. & Jose, J.M. & van Rijsbergen, C.J. (2005). Evaluating implicit feedback models using searcher simulations. ACM Transactions on Information Systems , 23(3): 325-361.

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