Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors
User domain knowledge affects search behaviors and search success. Predicting a user's knowledge level from implicit evidence such as search behaviors could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user domain k...
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| Published in | Journal of the Association for Information Science and Technology Vol. 66; no. 5; pp. 980 - 1000 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Blackwell Publishing Ltd
01.05.2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2330-1635 2330-1643 |
| DOI | 10.1002/asi.23218 |
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| Abstract | User domain knowledge affects search behaviors and search success. Predicting a user's knowledge level from implicit evidence such as search behaviors could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user domain knowledge can be predicted from search behaviors by applying a regression modeling analysis method. We identify behavioral features that contribute most to a successful prediction model. A user experiment was conducted with 40 participants searching on task topics in the domain of genomics. Participant domain knowledge level was assessed based on the users' familiarity with and expertise in the search topics and their knowledge of MeSH (Medical Subject Headings) terms in the categories that corresponded to the search topics. Users' search behaviors were captured by logging software, which includes querying behaviors, document selection behaviors, and general task interaction behaviors. Multiple regression analysis was run on the behavioral data using different variable selection methods. Four successful predictive models were identified, each involving a slightly different set of behavioral variables. The models were compared for the best on model fit, significance of the model, and contributions of individual predictors in each model. Each model was validated using the split sampling method. The final model highlights three behavioral variables as domain knowledge level predictors: the number of documents saved, the average query length, and the average ranking position of the documents opened. The results are discussed, study limitations are addressed, and future research directions are suggested. |
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| AbstractList | User domain knowledge affects search behaviors and search success. Predicting a user's knowledge level from implicit evidence such as search behaviors could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user domain knowledge can be predicted from search behaviors by applying a regression modeling analysis method. We identify behavioral features that contribute most to a successful prediction model. A user experiment was conducted with 40 participants searching on task topics in the domain of genomics. Participant domain knowledge level was assessed based on the users' familiarity with and expertise in the search topics and their knowledge of MeSH (Medical Subject Headings) terms in the categories that corresponded to the search topics. Users' search behaviors were captured by logging software, which includes querying behaviors, document selection behaviors, and general task interaction behaviors. Multiple regression analysis was run on the behavioral data using different variable selection methods. Four successful predictive models were identified, each involving a slightly different set of behavioral variables. The models were compared for the best on model fit, significance of the model, and contributions of individual predictors in each model. Each model was validated using the split sampling method. The final model highlights three behavioral variables as domain knowledge level predictors: the number of documents saved, the average query length, and the average ranking position of the documents opened. The results are discussed, study limitations are addressed, and future research directions are suggested. |
| Author | Liu, Jingjing Cole, Michael Zhang, Xiangmin Belkin, Nicholas |
| Author_xml | – sequence: 1 givenname: Xiangmin surname: Zhang fullname: Zhang, Xiangmin email: Ae9101@wayne.edu organization: School of Library and Information Science, Wayne State University, MI, 48202, Detroit – sequence: 2 givenname: Jingjing surname: Liu fullname: Liu, Jingjing email: jingjing@sc.edu organization: School of Library and Information Science, University of South Carolina, 1501 Greene Street, SC, 29208, Columbia – sequence: 3 givenname: Michael surname: Cole fullname: Cole, Michael email: m.cole@rutgers.edu organization: School of Communication and Information, Rutgers University, 4 Huntington Street, NJ, 08901, New Brunswick – sequence: 4 givenname: Nicholas surname: Belkin fullname: Belkin, Nicholas email: belkin@rutgers.edu organization: School of Communication and Information, Rutgers University, 4 Huntington Street, NJ, 08901, New Brunswick |
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| Cites_doi | 10.1145/2009916.2010131 10.1016/j.ipm.2011.08.009 10.1145/1357054.1357062 10.1037/0022-0663.87.4.559 10.1145/986278.986298 10.1002/asi.20180 10.1108/00220410410568151 10.1002/(SICI)1097-4571(199304)44:3<161::AID-ASI5>3.0.CO;2-8 10.1145/1240624.1240669 10.1007/s11135-006-9018-6 10.1002/asi.10367 10.1002/asi.21078 10.1145/1816123.1816191 10.1007/s10791-008-9076-6 10.1016/j.ipm.2004.04.017 10.3115/1641579.1641586 10.1191/0265532205lt297oa 10.1007/3-540-44566-8_35 10.1016/S0306-4573(02)00031-6 10.1117/12.722549 10.1145/1099554.1099622 10.1002/asi.10281 10.1002/meet.14504701285 10.1016/j.chb.2004.03.040 10.1007/BF00138746 10.3233/IRG-2007-17(2)03 10.2190/T6R2-5111-5805-10MT 10.1145/544220.544232 10.1177/0165551503296008 10.1145/1498759.1498819 |
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| References | Jansen, B.J. (2005). Seeking and implementing automated assistance during the search process. Information Processing and Management, 41, 909-928. Vakkari, P., Pennanen, M., & Serola, S. (2003). Changes of search terms and tactics while writing a research proposal: A longitudinal research. Information Processing & Management, 39(3), 445-463. Mitrovic, A., & Martin, B. (2007). Evaluating the effect of open student models on self-assessment. International Journal of Artificial Intelligence in Education, 17(2), 121-144. Boud, D., & Falchikov, N. (1989). Quantitative studies of student self-assessment in higher education: A critical analysis of findings. Higher Education, 18(5), 529-549. Hembrooke, H.A., Gay, G.K., Granka, L.A., & Liddy, L. (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. Alexander, P.A., Jetton, T.L., & Kulikowich, J.M. (1995). Interrelationship of knowledge, interest, and recall: Assessing a model of domain learning. Journal of Educational Psychology, 87(4), 559-575. Hursh, W.R., & Voorhees, E.M. (2009). TREC genomics special issue overview. Information Retrieval, 12(1), 1-15. Sihvonen, A., & Vakkari, P. (2004). Subject knowledge improves interactive query expansion assisted by a thesaurus. Journal of Documentation, 60(6), 673-690. Malabonga, V., Kenyon, D., & Carpenter, H. (2005). Self-assessment, preparation and response time on a computerized oral proficiency test. Language Testing, 22(1), 59. Downing, R.E., Moore, J.L., & Brown, S.W. (2005). The effects and interaction of spatial visualization and domain expertise on information seeking. Computers in Human Behavior, 21, 195-209. Hsieh-Yee, I. (1993). Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers. Journal of the American Society for Information Science, 44(3), 161-174. Kachigan, S. (1991). Multivariate statistical analysis: A conceptual introduction, 2nd ed. New York: Radius Press. Xie, I., & Joo, S. (2012) Factors affecting the selection of search tactics during the web-based searching process. Information Processing and Management, 48(2), 254-270. 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. Hair, J.F., Jr., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate data analysis, 5th ed. Upper Saddle River, NJ: Prentice Hall. Park, Y., & Black, J.B. (2007). Identifying the impact of domain knowledge and cognitive style on web-based information search behavior. Journal of Educational Computing Research, 36(1), 15-37. Shiri, A.A., & Revie, C. (2003). The effects of topic complexity and familiarity on cognitive and physical moves in a thesaurus-enhanced search environment. Journal of Information Science, 29(6), 517-526. Zhang, X., Anghelescu, H.G.B., & Yuan, X. (2005). Domain knowledge, search behavior, and search effectiveness of engineering and science students. Information Research, 10(2), 217. O'Brien, R.M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality and Quantity 41(5), 673-690. Drabenstott, K.M. (2003). Do nondomain experts enlist the strategies of domain experts? Journal of the American Society for Information Science & Technology, 54(9), 836-854. Vibert, N., Ros, C., Le Bigot, L., Ramond, M., Gatefin, J., & Rouet, J.-F. (2009). Effects of domain knowledge on reference search with the PubMed database: An experimental study. Journal of the American Society for Information Science & Technology, 60(7), 1423-1447. 2007; 17 2004; 60 2012 2011 2010 2009; 60 1993; 44 1998 2009 2008 2005; 41 2007 2005; 21 2006 2005 2003; 39 2004 1991 2002 2005; 22 2003; 54 2007; 36 2009; 12 2004; 55 2001 1995; 87 2005; 10 2003; 29 2007; 41 2012; 48 2005; 56 1989; 18 e_1_2_8_28_1 e_1_2_8_29_1 Cole M.J. (e_1_2_8_5_1) 2011 e_1_2_8_24_1 e_1_2_8_26_1 e_1_2_8_27_1 e_1_2_8_3_1 e_1_2_8_2_1 Mitrovic A. (e_1_2_8_25_1) 2007; 17 e_1_2_8_4_1 e_1_2_8_7_1 e_1_2_8_6_1 e_1_2_8_8_1 Kang R. (e_1_2_8_16_1) 2010 e_1_2_8_20_1 e_1_2_8_21_1 Mischo W.H. (e_1_2_8_23_1) 2012 e_1_2_8_22_1 Zhang X. (e_1_2_8_36_1) 2005; 10 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_14_1 Kachigan S. (e_1_2_8_15_1) 1991 e_1_2_8_35_1 e_1_2_8_37_1 e_1_2_8_32_1 Hair J.F. (e_1_2_8_9_1) 1998 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_30_1 |
| References_xml | – reference: Hembrooke, H.A., Gay, G.K., Granka, L.A., & Liddy, L. (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. – reference: Vakkari, P., Pennanen, M., & Serola, S. (2003). Changes of search terms and tactics while writing a research proposal: A longitudinal research. Information Processing & Management, 39(3), 445-463. – reference: Drabenstott, K.M. (2003). Do nondomain experts enlist the strategies of domain experts? Journal of the American Society for Information Science & Technology, 54(9), 836-854. – reference: Downing, R.E., Moore, J.L., & Brown, S.W. (2005). The effects and interaction of spatial visualization and domain expertise on information seeking. Computers in Human Behavior, 21, 195-209. – reference: Shiri, A.A., & Revie, C. (2003). The effects of topic complexity and familiarity on cognitive and physical moves in a thesaurus-enhanced search environment. Journal of Information Science, 29(6), 517-526. – reference: Hursh, W.R., & Voorhees, E.M. (2009). TREC genomics special issue overview. Information Retrieval, 12(1), 1-15. – reference: Xie, I., & Joo, S. (2012) Factors affecting the selection of search tactics during the web-based searching process. Information Processing and Management, 48(2), 254-270. – reference: Alexander, P.A., Jetton, T.L., & Kulikowich, J.M. (1995). Interrelationship of knowledge, interest, and recall: Assessing a model of domain learning. Journal of Educational Psychology, 87(4), 559-575. – reference: Boud, D., & Falchikov, N. (1989). Quantitative studies of student self-assessment in higher education: A critical analysis of findings. Higher Education, 18(5), 529-549. – reference: Kachigan, S. (1991). Multivariate statistical analysis: A conceptual introduction, 2nd ed. New York: Radius Press. – reference: Zhang, X., Anghelescu, H.G.B., & Yuan, X. (2005). Domain knowledge, search behavior, and search effectiveness of engineering and science students. Information Research, 10(2), 217. – reference: Jansen, B.J. (2005). Seeking and implementing automated assistance during the search process. Information Processing and Management, 41, 909-928. – reference: 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. – reference: Malabonga, V., Kenyon, D., & Carpenter, H. (2005). Self-assessment, preparation and response time on a computerized oral proficiency test. Language Testing, 22(1), 59. – reference: O'Brien, R.M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality and Quantity 41(5), 673-690. – reference: Vibert, N., Ros, C., Le Bigot, L., Ramond, M., Gatefin, J., & Rouet, J.-F. (2009). Effects of domain knowledge on reference search with the PubMed database: An experimental study. Journal of the American Society for Information Science & Technology, 60(7), 1423-1447. – reference: Hair, J.F., Jr., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate data analysis, 5th ed. Upper Saddle River, NJ: Prentice Hall. – reference: Park, Y., & Black, J.B. (2007). Identifying the impact of domain knowledge and cognitive style on web-based information search behavior. Journal of Educational Computing Research, 36(1), 15-37. – reference: Sihvonen, A., & Vakkari, P. (2004). Subject knowledge improves interactive query expansion assisted by a thesaurus. Journal of Documentation, 60(6), 673-690. – reference: Mitrovic, A., & Martin, B. (2007). Evaluating the effect of open student models on self-assessment. International Journal of Artificial Intelligence in Education, 17(2), 121-144. – reference: Hsieh-Yee, I. (1993). Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers. Journal of the American Society for Information Science, 44(3), 161-174. – start-page: 271 year: 2005 end-page: 271 article-title: Biasing web search results for topic familiarity – start-page: 173 year: 2012 end-page: 194 – start-page: 393 year: 2010 end-page: 402 – start-page: 49 year: 2006 end-page: 56 article-title: User‐centered evaluation of interactive question answering systems – volume: 41 start-page: 673 issue: 5 year: 2007 end-page: 690 article-title: A caution regarding rules of thumb for variance inflation factors publication-title: Quality and Quantity – volume: 29 start-page: 517 issue: 6 year: 2003 end-page: 526 article-title: The effects of topic complexity and familiarity on cognitive and physical moves in a thesaurus‐enhanced search environment publication-title: Journal of Information Science – volume: 10 start-page: 217 issue: 2 year: 2005 article-title: Domain knowledge, search behavior, and search effectiveness of engineering and science students publication-title: Information Research – volume: 17 start-page: 121 issue: 2 year: 2007 end-page: 144 article-title: Evaluating the effect of open student models on self‐assessment publication-title: International Journal of Artificial Intelligence in Education – volume: 60 start-page: 1423 issue: 7 year: 2009 end-page: 1447 article-title: Effects of domain knowledge on reference search with the PubMed database: An experimental study publication-title: Journal of the American Society for Information Science & Technology – volume: 22 start-page: 59 issue: 1 year: 2005 article-title: Self‐assessment, preparation and response time on a computerized oral proficiency test publication-title: Language Testing – start-page: 1219 year: 2011 end-page: 1220 – start-page: 1225 year: 2011 end-page: 1226 article-title: Predicting user domain knowledge from search behaviors – volume: 12 start-page: 1 issue: 1 year: 2009 end-page: 15 article-title: TREC genomics special issue overview publication-title: Information Retrieval – volume: 55 start-page: 246 issue: 3 year: 2004 end-page: 258 article-title: The effects of domain knowledge on search tactic formulation publication-title: Journal of the American Society for Information Science and Technology – volume: 48 start-page: 254 issue: 2 year: 2012 end-page: 270 article-title: Factors affecting the selection of search tactics during the web‐based searching process publication-title: Information Processing and Management – volume: 87 start-page: 559 issue: 4 year: 1995 end-page: 575 article-title: Interrelationship of knowledge, interest, and recall: Assessing a model of domain learning publication-title: Journal of Educational Psychology – start-page: 39 year: 2008 end-page: 48 article-title: Knowledge in the head and on the web: Using topic expertise to aid search – start-page: 132 year: 2009 end-page: 141 article-title: Characterizing the influence of domain expertise on Web search behavior – year: 2007 article-title: Effects of prior knowledge on the effectiveness of a hybrid user model for information retrieval – volume: 60 start-page: 673 issue: 6 year: 2004 end-page: 690 article-title: Subject knowledge improves interactive query expansion assisted by a thesaurus publication-title: Journal of Documentation – year: 1998 – start-page: 271 year: 2007 end-page: 278 article-title: Dynamic detection of novice vs. skilled use without a task model – volume: 44 start-page: 161 issue: 3 year: 1993 end-page: 174 article-title: Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers publication-title: Journal of the American Society for Information Science – year: 2010 article-title: Personalizing information retrieval for people with different levels of topic knowledge – volume: 54 start-page: 836 issue: 9 year: 2003 end-page: 854 article-title: Do nondomain experts enlist the strategies of domain experts? publication-title: Journal of the American Society for Information Science & Technology – volume: 39 start-page: 445 issue: 3 year: 2003 end-page: 463 article-title: Changes of search terms and tactics while writing a research proposal: A longitudinal research publication-title: Information Processing & Management – start-page: 1 year: 2010 end-page: 10 article-title: Are self‐assessments reliable indicators of topic knowledge? – volume: 36 start-page: 15 issue: 1 year: 2007 end-page: 37 article-title: Identifying the impact of domain knowledge and cognitive style on web‐based information search behavior publication-title: Journal of Educational Computing Research – volume: 21 start-page: 195 year: 2005 end-page: 209 article-title: The effects and interaction of spatial visualization and domain expertise on information seeking publication-title: Computers in Human Behavior – volume: 18 start-page: 529 issue: 5 year: 1989 end-page: 549 article-title: Quantitative studies of student self‐assessment in higher education: A critical analysis of findings publication-title: Higher Education – volume: 41 start-page: 909 year: 2005 end-page: 928 article-title: Seeking and implementing automated assistance during the search process publication-title: Information Processing and Management – start-page: 247 year: 2001 end-page: 250 article-title: Investigating students' self‐assessment skills – year: 2004 – start-page: 74 year: 2002 end-page: 75 article-title: The effects of topic familiarity on information search behavior – volume: 56 start-page: 861 issue: 8 year: 2005 end-page: 871 article-title: The effects of expertise and feedback on search term selection and subsequent learning publication-title: Journal of the American Society for Information Science & Technology – year: 1991 – ident: e_1_2_8_37_1 doi: 10.1145/2009916.2010131 – ident: e_1_2_8_35_1 doi: 10.1016/j.ipm.2011.08.009 – ident: e_1_2_8_8_1 doi: 10.1145/1357054.1357062 – ident: e_1_2_8_2_1 doi: 10.1037/0022-0663.87.4.559 – ident: e_1_2_8_17_1 doi: 10.1145/986278.986298 – ident: e_1_2_8_10_1 doi: 10.1002/asi.20180 – ident: e_1_2_8_30_1 doi: 10.1108/00220410410568151 – ident: e_1_2_8_13_1 doi: 10.1002/(SICI)1097-4571(199304)44:3<161::AID-ASI5>3.0.CO;2-8 – ident: e_1_2_8_12_1 doi: 10.1145/1240624.1240669 – ident: e_1_2_8_27_1 doi: 10.1007/s11135-006-9018-6 – ident: e_1_2_8_34_1 doi: 10.1002/asi.10367 – start-page: 173 volume-title: Planning and implementing resource discovery tools in academic libraries year: 2012 ident: e_1_2_8_23_1 – ident: e_1_2_8_32_1 doi: 10.1002/asi.21078 – volume: 10 start-page: 217 issue: 2 year: 2005 ident: e_1_2_8_36_1 article-title: Domain knowledge, search behavior, and search effectiveness of engineering and science students publication-title: Information Research – ident: e_1_2_8_21_1 doi: 10.1145/1816123.1816191 – ident: e_1_2_8_11_1 doi: 10.1007/s10791-008-9076-6 – ident: e_1_2_8_14_1 doi: 10.1016/j.ipm.2004.04.017 – ident: e_1_2_8_19_1 doi: 10.3115/1641579.1641586 – ident: e_1_2_8_22_1 doi: 10.1191/0265532205lt297oa – start-page: 1219 volume-title: Proceedings of SIGIR 2011 year: 2011 ident: e_1_2_8_5_1 – ident: e_1_2_8_24_1 doi: 10.1007/3-540-44566-8_35 – ident: e_1_2_8_31_1 doi: 10.1016/S0306-4573(02)00031-6 – ident: e_1_2_8_26_1 doi: 10.1117/12.722549 – volume-title: Multivariate statistical analysis: A conceptual introduction year: 1991 ident: e_1_2_8_15_1 – ident: e_1_2_8_20_1 doi: 10.1145/1099554.1099622 – ident: e_1_2_8_7_1 doi: 10.1002/asi.10281 – ident: e_1_2_8_4_1 doi: 10.1002/meet.14504701285 – ident: e_1_2_8_6_1 doi: 10.1016/j.chb.2004.03.040 – volume-title: Multivariate data analysis year: 1998 ident: e_1_2_8_9_1 – start-page: 393 volume-title: Proceedings of CHI 2010 year: 2010 ident: e_1_2_8_16_1 – ident: e_1_2_8_3_1 doi: 10.1007/BF00138746 – volume: 17 start-page: 121 issue: 2 year: 2007 ident: e_1_2_8_25_1 article-title: Evaluating the effect of open student models on self‐assessment publication-title: International Journal of Artificial Intelligence in Education doi: 10.3233/IRG-2007-17(2)03 – ident: e_1_2_8_28_1 doi: 10.2190/T6R2-5111-5805-10MT – ident: e_1_2_8_18_1 doi: 10.1145/544220.544232 – ident: e_1_2_8_29_1 doi: 10.1177/0165551503296008 – ident: e_1_2_8_33_1 doi: 10.1145/1498759.1498819 |
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| Title | Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors |
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