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International Conference on Web Engineering

ICWE 2012: Web Engineering pp 137–152Cite as

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Diversification for Multi-domain Result Sets

Diversification for Multi-domain Result Sets

  • Alessandro Bozzon19,
  • Marco Brambilla19,
  • Piero Fraternali19 &
  • …
  • Marco Tagliasacchi19 
  • Conference paper
  • 1938 Accesses

  • 1 Citations

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7387)

Abstract

Multi-domain search answers to queries spanning multiple entities, like “Find a hotel in Milan close to a concert venue, a museum and a good restaurant”, by producing ranked sets of entity combinations that maximize relevance, measured by a function expressing the user’s preferences. Due to the combinatorial nature of results, good entity instances (e.g., five stars hotels) tend to appear repeatedly in top-ranked combinations. To improve the quality of the result set, it is important to balance relevance with diversity, which promotes different, yet almost equally relevant, entities in the top-k combinations. This paper explores two different notions of diversity for multi-domain result sets, compares experimentally alternative algorithms for the trade-off between relevance and diversity, and performs a user study for evaluating the utility of diversification in multi-domain queries.

Keywords

  • Greedy Algorithm
  • User Study
  • Relevance Score
  • Total Price
  • Entity Instance

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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Author information

Authors and Affiliations

  1. Politecnico di Milano, Piazza Leonardo Da Vinci, 32, 20133, Milano, Italy

    Alessandro Bozzon, Marco Brambilla, Piero Fraternali & Marco Tagliasacchi

Authors
  1. Alessandro Bozzon
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  2. Marco Brambilla
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  3. Piero Fraternali
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  4. Marco Tagliasacchi
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Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Ponzio 34/5, 20133, Milano, Italy

    Marco Brambilla

  2. Department of Computer Science, Tokyo Institute of Technology, 2-12-1 Oookayama, 152-8552, Tokyo, Japan

    Takehiro Tokuda

  3. Institut für Informatik, Freie Universität Berlin, Königin-Luise-Strasse 24-26, 14195, Berlin, Germany

    Robert Tolksdorf

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Bozzon, A., Brambilla, M., Fraternali, P., Tagliasacchi, M. (2012). Diversification for Multi-domain Result Sets. In: Brambilla, M., Tokuda, T., Tolksdorf, R. (eds) Web Engineering. ICWE 2012. Lecture Notes in Computer Science, vol 7387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31753-8_10

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  • DOI: https://doi.org/10.1007/978-3-642-31753-8_10

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  • Print ISBN: 978-3-642-31752-1

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