On the Evaluation of Entity Profiles

  • Maarten de Rijke
  • Krisztian Balog
  • Toine Bogers
  • Antal van den Bosch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6360)


Entity profiling is the task of identifying and ranking descriptions of a given entity. The task may be viewed as one where the descriptions being sought are terms that need to be selected from a knowledge source (such as an ontology or thesaurus). In this case, entity profiling systems can be assessed by means of precision and recall values of the descriptive terms produced. However, recent evidence suggests that more sophisticated metrics are needed that go beyond mere lexical matching of system-produced descriptors against a ground truth, allowing for graded relevance and rewarding diversity in the list of descriptors returned. In this note, we motivate and propose such a metric.


Knowledge Source Semantic Distance Discount Cumulative Gain Discount Cumulative Gain Information Retrieval Evaluation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Maarten de Rijke
    • 1
  • Krisztian Balog
    • 1
  • Toine Bogers
    • 2
  • Antal van den Bosch
    • 3
  1. 1.ISLAUniversity of AmsterdamThe Netherlands
  2. 2.IIIARoyal School of Library & Information ScienceDenmark
  3. 3.ILK/Tilburg Centre for Creative ComputingTilburg UniversityThe Netherlands

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