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  • × author_ss:"Lalmas, M."
  1. Arapakis, I.; Lalmas, M.; Ceylan, H.; Donmez, P.: Automatically embedding newsworthy links to articles : from implementation to evaluation (2014) 0.06 
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    Abstract
    News portals are a popular destination for web users. News providers are therefore interested in attaining higher visitor rates and promoting greater engagement with their content. One aspect of engagement deals with keeping users on site longer by allowing them to have enhanced click-through experiences. News portals have invested in ways to embed links within news stories but so far these links have been curated by news editors. Given the manual effort involved, the use of such links is limited to a small scale. In this article, we evaluate a system-based approach that detects newsworthy events in a news article and locates other articles related to these events. Our system does not rely on resources like Wikipedia to identify events, and it was designed to be domain independent. A rigorous evaluation, using Amazon's Mechanical Turk, was performed to assess the system-embedded links against the manually-curated ones. Our findings reveal that our system's performance is comparable with that of professional editors, and that users find the automatically generated highlights interesting and the associated articles worthy of reading. Our evaluation also provides quantitative and qualitative insights into the curation of links, from the perspective of users and professional editors.
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  2. 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) 0.02 
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    Date
    22. 3.2003 19:27:36
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  3. Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Special issue on model design, formulation and explanation in information retrieval using mathematics (2006) 0.00 
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  4. Lalmas, M.: Logical models in information retrieval : introduction and overview (1998) 0.00 
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  5. Ruthven, I.; Lalmas, M.: Selective relevance feedback using term characteristics (1999) 0.00 
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  6. Kazai, G.; Lalmas, M.: ¬The overlap problem in content-oriented XML retrieval evaluation (2004) 0.00 
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  7. Lalmas, M.: XML information retrieval (2009) 0.00 
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    Footnote
    Vgl.: http://www.tandfonline.com/doi/book/10.1081/E-ELIS3.
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  8. Lalmas, M.; Ruthven, I.: ¬A model for structured document retrieval : empirical investigations (1997) 0.00 
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  9. Lalmas, M.; Ruthven, I.: Representing and retrieving structured documents using the Dempster-Shafer theory of evidence : modelling and evaluation (1998) 0.00 
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  10. 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) 0.00 
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  11. Reid, J.; Lalmas, M.; Finesilver, K.; Hertzum, M.: Best entry points for structured document retrieval : part I: characteristics (2006) 0.00 
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  12. Reid, J.; Lalmas, M.; Finesilver, K.; Hertzum, M.: Best entry points for structured document retrieval : part II: types, usage and effectiveness (2006) 0.00 
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  13. Blanke, T.; Lalmas, M.; Huibers, T.: ¬A framework for the theoretical evaluation of XML retrieval (2012) 0.00 
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  14. Szlávik, Z.; Tombros, A.; Lalmas, M.: Summarisation of the logical structure of XML documents (2012) 0.00 
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  15. Rijsbergen, C.J. van; Lalmas, M.: Information calculus for information retrieval (1996) 0.00 
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  16. Ruthven, T.; Lalmas, M.; Rijsbergen, K.van: Incorporating user research behavior into relevance feedback (2003) 0.00 
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  17. Lalmas, M.: XML retrieval (2009) 0.00 
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  18. Piwowarski, B.; Amini, M.R.; Lalmas, M.: On using a quantum physics formalism for multidocument summarization (2012) 0.00 
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  19. 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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  20. Lehmann, J.; Castillo, C.; Lalmas, M.; Baeza-Yates, R.: Story-focused reading in online news and its potential for user engagement (2017) 0.00 
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