• Cumulated gain-based indicators of IR performance 

      Järvelin, Kalervo; Kekäläinen, Jaana
      Department of Information Studies: Research Notes : 2002-2 (2002)
      report
      Modern large retrieval environments tend to overwhelm their users by their large output. Since all documents are not of equal relevance to their users, highly relevant documents should be identified and ranked first for ...
    • ExpansionTool: Formal definition of concept-based query expansion and construction 

      Järvelin, Kalervo; Kekäläinen, Jaana; Niemi, Timo
      Department of Information Studies: Research Notes : 2001-1 (2001)
      report
      We develop a deductive data model for concept-based query expansion. It is based on three abstraction levels: the conceptual, linguistic and string levels. Concepts and relationships among them are represented at the ...
    • Informetrics through Advanced Data Management. Complex Object Restructuring, Data Aggregation and Transitive Computation 

      Järvelin, Kalervo; Ingwersen, Peter; Niemi, Timo
      Department of Information Studies: Research Notes : 1999-1 (1999)
      report
      This article considers how informetric calculations can easily and declaratively be specified through advanced data management techniques. In particular, bibliographic data and its modeling as complex objects (non-first ...
    • MUSIR - A Retrieval Model for Music 

      Salosaari, Pekka; Järvelin, Kalervo
      Department of Information Studies: Research Notes : 1998-1 (Tampereen yliopisto, 1998)
      report
      Traditionally, information retrieval in music has been based on surrogates of music, i.e., bibliographic descriptions of music documents. This does not provide access to the essence of music, whether it is defined as the ...