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  • × author_ss:"Lalmas, M."
  1. Crestani, F.; Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Mathematical, logical, and formal methods in information retrieval : an introduction to the special issue (2003) 0.07
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    Abstract
    Research an the use of mathematical, logical, and formal methods, has been central to Information Retrieval research for a long time. Research in this area is important not only because it helps enhancing retrieval effectiveness, but also because it helps clarifying the underlying concepts of Information Retrieval. In this article we outline some of the major aspects of the subject, and summarize the papers of this special issue with respect to how they relate to these aspects. We conclude by highlighting some directions of future research, which are needed to better understand the formal characteristics of Information Retrieval.
    Date
    22. 3.2003 19:27:36
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.281-284
  2. Kazai, G.; Lalmas, M.; Fuhr, N.; Gövert, N.: ¬A report an the first year of the INitiative for the Evaluation of XML Retrieval (INEX'02) (2004) 0.03
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    Series
    European research letter
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.6, S.551-556
  3. Ruthven, T.; Lalmas, M.; Rijsbergen, K.van: Incorporating user research behavior into relevance feedback (2003) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.6, S.528-548
  4. Lehmann, J.; Castillo, C.; Lalmas, M.; Baeza-Yates, R.: Story-focused reading in online news and its potential for user engagement (2017) 0.02
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    Footnote
    This work was done while Janette Lehmann was a PhD student at Universitat Pompeu Fabra and it was carried out as part of her PhD internship at Yahoo! Labs Barcelona. This work was carried out while Carlos Castillo was working at Qatar Computing Research Institute.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.4, S.869-883
  5. Kazai, G.; Lalmas, M.: ¬The overlap problem in content-oriented XML retrieval evaluation (2004) 0.01
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    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
  6. Ruthven, I.; Lalmas, M.: Selective relevance feedback using term characteristics (1999) 0.01
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    Source
    Vocabulary as a central concept in digital libraries: interdisciplinary concepts, challenges, and opportunities : proceedings of the Third International Conference an Conceptions of Library and Information Science (COLIS3), Dubrovnik, Croatia, 23-26 May 1999. Ed. by T. Arpanac et al
  7. Lalmas, M.: XML retrieval (2009) 0.01
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    LCSH
    Query languages (Computer science)
    Subject
    Query languages (Computer science)
  8. Blanke, T.; Lalmas, M.; Huibers, T.: ¬A framework for the theoretical evaluation of XML retrieval (2012) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2463-2473
  9. Rijsbergen, C.J. van; Lalmas, M.: Information calculus for information retrieval (1996) 0.00
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    Source
    Journal of the American Society for Information Science. 47(1996) no.5, S.385-398
  10. Piwowarski, B.; Amini, M.R.; Lalmas, M.: On using a quantum physics formalism for multidocument summarization (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.865-888
  11. Arapakis, I.; Lalmas, M.; Ceylan, H.; Donmez, P.: Automatically embedding newsworthy links to articles : from implementation to evaluation (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.129-145
  12. Arapakis, I.; Lalmas, M.; Cambazoglu, B.B.; MarcosM.-C.; Jose, J.M.: User engagement in online news : under the scope of sentiment, interest, affect, and gaze (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.10, S.1988-2005
  13. Arapakis, I.; Cambazoglu, B.B.; Lalmas, M.: On the feasibility of predicting popular news at cold start (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1149-1164
  14. Goyal, N.; Bron, M.; Lalmas, M.; Haines, A.; Cramer, H.: Designing for mobile experience beyond the native ad click : exploring landing page presentation style and media usage (2018) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.7, S.913-923
  15. Nikolov, D.; Lalmas, M.; Flammini, A.; Menczer, F.: Quantifying biases in online information exposure (2019) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.3, S.218-229
  16. Ruthven, I.; Lalmas, M.; Rijsbergen, K. van: Combining and selecting characteristics of information use (2002) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.5, S.378-396