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What was the Query? Generating Queries for Document Sets with Applications in Cluster Labeling

  • Matthias Hagen
  • Maximilian Michel
  • Benno Stein
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9103)

Abstract

We deal with the task of generating a query that retrieves a given set of documents. In its abstract form, this can be seen as a “compression” of the document set to a short query. But the task also has a real-world application: cluster labeling (e.g., for faceted search). Our solution to cluster labeling is the usage of queries that approximately retrieve a cluster’s documents. To be generalizable, our approach does not require access to a search index but only a public interface like an API. This way, our approach can also be implemented at client side.

In an experimental evaluation, a basic version of our approach using a simple retrieval model is on par with standard cluster labeling techniques. A further user study reveals that queries as labels are often preferred when they are not too long.

Keywords

Search Engine User Study Retrieval Model Jaccard Index Cluster Label 
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 International Publishing Switzerland 2015

Authors and Affiliations

  • Matthias Hagen
    • 1
  • Maximilian Michel
    • 1
  • Benno Stein
    • 1
  1. 1.Bauhaus-Universität WeimarWeimarGermany

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