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Hider, P. (2018). The Search Value Added by Professional Indexing to a Bibliographic Database. Official Journal of the International Society for Knowledge Organization, 45(1), 23–32.
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Hudon, M., & Mustafa El Hadi, W. (2017). Introduction. La classification à facettes revisitée. De la théorie à la pratique. Les Cahiers du numérique, 13(1), 9–24. Retrieved from http://www.cairn.info/resume.php?ID_ARTICLE=LCN_131_0009
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Gödert, W. (2016). An ontology-based model for indexing and retrieval. Journal of the Association for Information Science and Technology, 67(3), 594–609. https://doi.org/10.1002/asi.23420
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Kelly, D., & Sugimoto, C. R. (2013). A systematic review of interactive information retrieval evaluation studies, 1967–2006. Journal of the American Society for Information Science and Technology, 64(4), 745–770. https://doi.org/10.1002/asi.22799
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Hjørland, B. (2013). Facet analysis: The logical approach to knowledge organization. Information Processing & Management, 49(2), 545–557. https://doi.org/10.1016/j.ipm.2012.10.001
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Broughton, V. (2013). Faceted classification as a general theory for knowledge organization. SRELS Journal of Information Management, 50(6), 735–750.
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Kules, B., & Capra, R. (2012). Influence of training and stage of search on gaze behavior in a library catalog faceted search interface. Journal of the American Society for Information Science and Technology, 63(1), 114–138. https://doi.org/10.1002/asi.21647
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Fagan, J. C. (2010). Usability studies of faceted browsing : a literature review. Information Technology and Libraries, 29(2), 58–66. https://doi.org/10.6017/ital.v29i2.3144
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Hjørland, B. (2010). The foundation of the concept of relevance. Journal of the American Society for Information Science and Technology, 61(2), 217–237. https://doi.org/10.1002/asi.21261
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La Barre, K. (2010). Facet analysis. Annual Review of Information Science and Technology, 44(1), 243–284. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/aris.2010.1440440113/abstract
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Robertson, S., & Zaragoza, H. (2009). The Probabilistic Relevance Framework: BM25 and Beyond. Foundations and Trends® in Information Retrieval, 3(4), 333–389. https://doi.org/10.1561/1500000019
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Radlinski, F., Bennett, P. N., Carterette, B., & Joachims, T. (2009). Redundancy, diversity and interdependent document relevance. ACM SIGIR Forum, 43(2), 46–52. https://doi.org/10.1145/1670564.1670572
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Liu, T.-Y. (2009). Learning to Rank for Information Retrieval. Foundations and Trends® in Information Retrieval, 3(3), 225–331. https://doi.org/10.1561/1500000016
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Kelly, D. (2009). Methods for Evaluating Interactive Information Retrieval Systems with Users. Foundations and Trends® in Information Retrieval, 3(1–2), 1–224. https://doi.org/10.1561/1500000012
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White, R. W., & Roth, R. A. (2009). Exploratory Search: Beyond the Query-Response Paradigm. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1(1), 1–98. https://doi.org/10.2200/S00174ED1V01Y200901ICR003
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Tunkelang, D. (2009). Faceted search. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1(1), 1–80. https://doi.org/10.2200/S00190ED1V01Y200904ICR005
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Kuhlthau, C. C., Heinström, J., & Todd, R. J. (2008). The “information search process” revisited: is the model still useful? Information Research, 13(4), 45–45.
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Jansen, B. J., Booth, D. L., & Spink, A. (2008). Determining the informational, navigational, and transactional intent of Web queries. Information Processing & Management, 44(3), 1251–1266. https://doi.org/10.1016/j.ipm.2007.07.015
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Vickery, B. (2008). Faceted Classification for the Web. Axiomathes, 18(2), 145–160. https://doi.org/10.1007/s10516-007-9025-9
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Saracevic, T. (2007). Relevance: A review of the literature and a framework for thinking on the notion in information science. Part III: Behavior and effects of relevance. Journal of the American Society for Information Science and Technology, 58(13), 2126–2144. https://doi.org/10.1002/asi.20681
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