Result Disambiguation in Web People Search

  • Richard Berendsen
  • Bogomil Kovachev
  • Evangelia-Paraskevi Nastou
  • Maarten de Rijke
  • Wouter Weerkamp
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7224)


We study the problem of disambiguating the results of a web people search engine: given a query consisting of a person name plus the result pages for this query, find correct referents for all mentions by clustering the pages according to the different people sharing the name. While the problem has been studied extensively, we discover that the increasing availability of results retrieved from social media platforms causes state-of-the-art methods to break down. We analyze the problem and propose a dual strategy where we distinguish between results obtained from social media platforms and those obtained from other sources. In our dual strategy, the two types of documents are disambiguated separately, using different strategies, and their results are then merged. We study several instantiations for the different stages in our proposed strategy and manage to achieve state-of-the-art performance.


Social Media Social Result Single Link Hierarchical Agglomerative Cluster Social Media Platform 
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 2012

Authors and Affiliations

  • Richard Berendsen
    • 1
  • Bogomil Kovachev
    • 1
  • Evangelia-Paraskevi Nastou
    • 1
  • Maarten de Rijke
    • 1
  • Wouter Weerkamp
    • 1
  1. 1.ISLAUniversity of AmsterdamAmsterdamThe Netherlands

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