Personalizing information retrieval for multi-session tasks: Examining the roles of task stage, task type, and topic knowledge on the interpretation of dwell time as an indicator of document usefulness

Journal of the Association for Information Science and Technology

Volumn 66, Issue 1, 2015, Pages 58-81

  Liu, Jingjing ^a   Belkin, Nicholas J ^b  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

end user searching; information retrieval; information seeking

Indexed keywords

INFORMATION RETRIEVAL;

CONTEXTUAL FACTORS; CONTROLLED LABORATORIES; DWELL TIME; END USERS; INFORMATION SEEKING; PERSONALIZATION SYSTEMS; PERSONALIZATIONS; USER BEHAVIORS;

BEHAVIORAL RESEARCH;

EID: 84938687196     PISSN: 23301635     EISSN: 23301643     Source Type: Journal    
DOI: 10.1002/asi.23160     Document Type: Article

References (56)

1. Agosto, D.E., &, Hughes-Hassell, S., (2005). People, places, and questions: An investigation of the everyday life information-seeking behavior of urban young adults. Library & Information Science Research, 27, 141-163.
2. Allen, B., (1991). Topic knowledge and online catalog search formulation. Library Quarterly, 61 (2), 188-213.
3. Allen, B., (1996). Information needs: A person-in-situation approach. In, P. Vakkari, R. Savolainen, &, B. Dervin, (Eds.), Information seeking in context: Proceedings of an International Conference on Research in Information Needs, Seeking and Use in Different Contexts (pp. 111-122). London: Taylor Graham.
4. Belkin, N.J., (1993). Interaction with texts: Information retrieval as information-seeking behavior. In: Information retrieval '93. Von der Modellierung zur Anwendung. Konstanz: Universitaetsverlag Konstanz, 55-66.
5. Ingwersen, P., &, Javerlin, K., (2005). Information retrieval in context: IRix, SIGIR Forum, 39, 31-39.
6. Belkin, N.J., (2008). Some(What) grand challenges for information retrieval. ACM SIGIR Forum, 42 (1), 47-54.
7. Belkin, N.J., Chaleva, I., Cole, M., Li, Y.-L., Liu, Y.-H., Muresan, G.,... (2004). Rutgers' HARD track experiences at TREC 2004. In Proceedings of TREC 2004.
8. Belkin, N., Cole, M., &, Liu, J., (2009). A model for evaluation of interactive information retrieval. In, S. Geva, J. Kamps, C. Peters, T. Sakai, A. Trotman, &, E. Voorhees, (Eds.), Proceedings of the 31th International Conference on Research and Development in Information Retrieval (ACM SIGIR '09) Workshop on the Future of IR Evaluation, (pp. 7-8), Boston.
9. Borlund, P., (2000). Experimental components for the evaluation of interactive information retrieval systems. Journal of Documentation, 56 (1), 71-79.
10. Byström, K., (2002). Information and information sources in tasks of varying complexity. Journal of the American Society for Information Science and Technology, 53 (7), 581-591.
11. Byström, K., &, Järvelin, K., (1995). Task complexity affects information seeking and use. Information Processing and Management, 31 (2), 191-213.
12. Cool, C., (2001). The concept of situation in information science. In Annual Review of Information Science & Technology., M.E. Williams,. Medford, NJ, Information Today, 35, 5-42.
13. Dervin, B., (2003). Given a context by any other name: Methodological tools for taming the unruly beast. In, B. Dervin, &, L. Foreman-Wernet, (with E. Lauterbach) (Eds.), Sense-making methodology reader: Selected writings of Brenda Dervin (pp. 111-132). Gresskill, NJ: Hampton Press.
14. Dumais, S., (2007). Information retrieval in context. In, T. Lau, &, A. Puerta, (Eds.), Proceedings of the 12th International Conference on Intelligent User Interface (ACM IUI '07) (pp. 2). New York: ACM.
15. Freund, (2008). Exploring task-document relations in support of information retrieval in the workplace. Unpublished Dissertation. University of Toronto.
16. Hembrooke, H.A., Granka, L.A., Gay, G.K., &, Liddy, E.D., (2005). The effects of expertise and feedback on search term selection and subsequent learning. Journal of the American Society for Information Science & Technology, 56 (8), 861-871.
17. Ingwersen, P., &, Järvelin, K., (2005). The turn: Integration of information seeking and retrieval in context. Heidelberg: Springer.
18. Kellar, M., Watters, C., &, Shepherd, M., (2007). A field study characterizing web-based information-seeking tasks. Journal of the American Society for Information Science & Technology, 58 (7), 999 - 1018.
19. Kelly, G.A., (1963). A theory of personality: The psychology of personal constructs. New York: Norton.
20. Kelly, D., (2006a). Measuring online information-seeking context, part 1. Background and method. Journal of the American Society for Information Science & Technology, 57 (13), 1729-1739.
21. Kelly, D., (2006b). Measuring online information-seeking context, part 2. Findings and discussion. Journal of the American Society for Information Science & Technology, 57 (14), 1862-1874.
22. Kelly, D., &, Belkin, N.J., (2001). Reading time, scrolling and interaction: Exploring implicit sources of user preference for relevance feedback. In, D.H. Kraft, W.B. Croft, D.J. Harper, &, J. Zobel, (Eds.), Proceedings of the 24th International Conference on Research and Development in Information Retrieval (ACM SIGIR '01) (pp. 408-409). New York: ACM.
23. Kelly, D., &, Belkin, N.J., (2002). A user modeling system for personalized interaction and tailored retrieval in interactive IR. In, E.M. Rasmussen, E. Toms, (Eds.), Proceedings of Annual Conference of the American Society for Information Science and Technology (ASIST '02) (pp. 316-325). Medford, NJ: Information Today.
24. Kelly, D., &, Belkin, N.J., (2004). Display time as implicit feedback: Understanding task effects. In, K. Järvelin, J. Allan, &, P. Bruza, (Eds.), Proceedings of the 27th International Conference on Research and Development in Information Retrieval (ACM SIGIR '04) (pp. 377-384). New York: ACM.
25. Kelly, D., &, Cool, C., (2002). The effects of topic familiarity on information search behavior. In, G. Marchionini, (Ed.), Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries (ACM JCDL '02) (pp. 74-75). New York: ACM.
26. Kim, J.H., (2006). Task as a predictable indicator for information seeking behavior on the web. Unpublished Dissertation. Rutgers University.
27. Kuhlthau, C.C., (1991). Inside the search process: Information seeking from the user's perspective. Journal of the American Society for Information Science, 42, 361-371.
28. Kumaran, G., Jones, R., &, Madani, O., (2005). Biasing web search results for topic familiarity. In, H-J. Schek, N. Fuhr, A. Chowdhury, &, W. Teiken, (Eds.), Proceedings of the 14th International Conference on Information and Knowledge Management (ACM CIKM '05) (pp. 271-271). New York: ACM.
29. Li, Y., &, Belkin, N.J., (2008). A faceted approach to conceptualizing tasks in information seeking. Information Processing & Management, 44, 1822-1837.
30. Li, Y., &, Belkin, N.J., (2010). An exploration of the relationships between work task and interactive information search behavior. Journal of the American Society for Information Science and Technology, 61 (9), 1771-1789.
31. Liu, J., Cole, M., Liu, C., Belkin, N.J., Zhang, J., Bierig, R., Gwizdka, J., &, Zhang, X., (2010). Search behaviors in different task types. In, C. Lagoze, L. Giles, &, Y-F. Li, (Eds.), Proceedings of the 10th ACM/IEEE-CS Joint Conference on Digital Libraries (ACM JCDL '10) (pp. 69-78). New York: ACM.
32. Liu, C., Gwizdka, J., Liu, J., Xu, T., Belkin, N.J., (2010). Analysis and evaluation of query reformulations in different task types. In, C. Marshall, E. Toms, &, A. Grove, (Eds.), Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem (ASIS&T 2010) (pp. 17:1-17:10). Silver Springs, MD: ASIS&T.
33. Liu, J., Liu, C., &, Belkin, N.J., (2013). Examining the effects of task topic familiarity on searchers' behaviors in different task types. In, A. Grove, (Ed.), Proceedings of the American Society for Information Science & Technology 2013 (ASIS&T 2013). Silver Springs, MD: ASIS&T.
34. Lin, S.-J., (2001). Modeling and supporting multiple information seeking episodes over the web. Unpublished dissertation. Rutgers University.
35. Madsen, H., &, Thyregod, P., (2011). Introduction to general and generalized linear models. New York: Chapman & Hall/CRC.
36. Marchionini, G., (1989). Information-seeking strategies of novices using a full-text electronic encyclopedia. Journal of the American Society for Information Science, 40 (1), 54-66.
37. Morita, M., &, Shinoda, Y., (1994). Information filtering based on user behavior analysis and best match text retrieval. In, W.B. Croft, &, C.J. van Rijsbergen, (Eds.), Proceedings of the 17th International Conference on Research and Development in Information Retrieval (ACM SIGIR '94) (pp. 272-281). New York: ACM.
38. Qiu, L., (1993). Analytical searching vs. browsing in hypertext information retrieval systems. Canadian Journal of Information and Library Science, 18 (4), 1-13.
39. Savolainen, R., (1995). Everyday life information seeking: Approaching information seeking in the context of "way of life." Library and Information Science Research, 17, 259-294.
40. Savolainen, R., (2007). Information source horizons and source preferences of environmental activists: A social phenomenological approach. Journal of the American Society for Information Science and Technology, 58 (12), 1709-1719.
41. Talja, S., Keso, H., &, Peitilainen, T., (1999). The production of "context" in information seeking research: A metatheoretical view. Information Processing & Management, 35, 751-763.
42. Tang, R., Shaw, W.M., &, Vevea, J.L., (1999). Towards the identification of the optimal number of relevance categories. Journal of the American Society for Information Science, 50 (3), 254-264.
43. Taylor, R.S., (1968). Question negotiation and information seeking in libraries. College and Research Libraries, 29 (3), 178-194.
44. Taylor, R.S., (1986). Value added processes in information systems. Ablex.
45. Taylor, A.R., Cool, C., Belkin, N.J., &, Amadio, W.J., (2007). Relationships between categories of relevance criteria and stage in task completion. Information Processing & Management, 43, 1071-1084.
46. Tombros, A., Ruthven, I., &, Jose, J.M., (2004). How users assess web pages for information seeking. Journal of the American Society for Information Science and Technology, 56 (4), 327-344.
47. Toms, E., MacKenzie, T., Jordan, C., O'Brien, H., Freund, L., Toze, S.,... (2007). How task affects information search. In, N. Fuhr, N. Lalmas, &, A. Trotman, (Eds.), Workshop Pre-proceedings in Initiative for the Evaluation of XML Retrieval (INEX) 2007, 337-341.
48. Vakkari, P., (1999). Task complexity, problem structure and information actions: Integrating studies on information seeking and retrieval. Information Processing and Management, 35, 819-837.
49. Vakkari, P., (2001). A theory of the task-based information retrieval. Journal of Documentation, 57 (1), 44-60.
50. Vakkari, P., &, Hakala, N., (2000). Changes in relevance criteria and problem stages in task performance. Journal of Documentation, 56 (5), 540-562.
51. Wang, H., Song, Y., Chang, M.-W., He, X., White, R., &, Chu, W., (2013). Learning to extract cross-session search tasks. In, R. Baeza-Yates, &, S. Moon, (Eds.), Proceedings of the 22nd International Conference on World Wide Web Conference (WWW '13) (pp. 1353-1364). Geneva, Switzerland: International World Wide Web Conferences Steering Committee.
52. White, R.W., Dumais, S., &, Teevan, J., (2009). Characterizing the influence of domain expertise on web search behavior. In, R. Baeza-Yates, P. Boldi, B. Ribeiro-Neto, &, B.B. Cambazoglu, (Eds.), Proceedings of the 2nd International Conference on Web Search and Data Mining (ACM WSDM '09) (pp. 132-141). New York: ACM.
53. White, R.W., &, Kelly, D., (2006). A study on the effects of personalization and task information on implicit feedback performance. In, V. Tsotras, E. Fox, &, B. Liu, (Eds.), Proceedings of the 15th International Conference on Information and Knowledge Management (ACM CIKM '06) (pp. 297-306). New York: ACM.
54. White, R.W., Ruthven, I., &, Jose, J.M., (2005). A study of factors affecting the utility of implicit relevance feedback. In, G. Marchionini, A. Moffat, &, J. Tait, (Eds.), Proceedings of 28th Annual ACM International Conference on Research and Development in Information Retrieval (SIGIR 2005), (pp. 35-42). New York: ACM.
55. Wildemuth, B., (2004). The effects of domain knowledge on search tactic formulation. Journal of the American Society for Information Science and Technology, 55 (3), 246-258.
56. Zhang, X., Liu, J., &, Cole, M., (2013). Task topic knowledge vs. background domain knowledge: Impact of two types of knowledge on user search performance. In, Á. Rocha, A.M. Correia, T. Wilson, &, K.A. Stroetmann, (Eds.), Advances in Information Systems and Technologies, AISC 206, (pp. 179-191). Berlin, Heidelberg: Springer.