Transformation selection for aptness-based web retrieval

نویسندگان

  • Bas van Gils
  • Henderik Alex Proper
  • Patrick van Bommel
  • Paul de Vrieze
چکیده

A m yriad of resources can be found on the Web to­ day, and finding (topically) relevant resources for a given inform ation need is a daunting task. Even if relevant resources can be found, they m ay not be apt for the searcher in a given context: some prop­ erties of the resource m ay be "w rong" for his cur­ rent context. Such issues can often be resolved by m eans of transformations. In this paper w e discuss an algorithm for selecting candidate transform ations for a given situation and present our first experiences w ith this algorithm.

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تاریخ انتشار 2005