Browsing by Author "Hasanain, M."

Now showing items 1-4 of 4

    • Automatic ranking of information retrieval systems 

      Hasanain M. ( Association for Computing Machinery, Inc , 2018 , Conference Paper)
      Typical information retrieval system evaluation requires expensive manually-collected relevance judgments of documents, which are used to rank retrieval systems. Due to the high cost associated with collecting relevance ...

    • BroDyn'18: Workshop on analysis of broad dynamic topics over social media 

      Elsayed T.; Magdy W.; Kutlu M.; Hasanain M.; Suwaileh R. ( CEUR-WS , 2018 , Conference Paper)
      Social media streams are flooded with posts related to topics that are broad (i.e., cover several sub-topics) and dynamic (i.e., develop over time) which attract long-standing user interests. Posts about topics like "Brexit" ...

    • EveTAR: building a large-scale multi-task test collection over Arabic tweets 

      Hasanain, M.; Suwaileh, R.; Elsayed, T.; Kutlu, M.; Almerekhi, H. ( Springer Netherlands , 2018 , Article)
      This article introduces a new language-independent approach for creating a large-scale high-quality test collection of tweets that supports multiple information retrieval (IR) tasks without running a shared-task campaign. ...

    • When rank order isn't enough: New statistical-significance-aware correlation measures 

      Kutlu M.; Elsayed T.; Hasanain M.; Lease M. ( Association for Computing Machinery , 2018 , Conference Paper)
      Because it is expensive to construct test collections for Cranfield-based evaluation of information retrieval systems, a variety of lower-cost methods have been proposed. The reliability of these methods is often validated ...