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Implementing Recommendations in the PATHS System

  • Paul Clough
  • Arantxa Otegi
  • Eneko Agirre
  • Mark Hall
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 416)

Abstract

In this paper we describe the design and implementation of non-personalized recommendations in the PATHS system. This system allows users to explore items from Europeana in new ways. Recommendations of the type “people who viewed this item also viewed this item” are powered by pairs of viewed items mined from Europeana. However, due to limited usage data only 10.3 % of items in the PATHS dataset have recommendations (4.3 % of item pairs visited more than once). Therefore, “related items”, a form of content-based recommendation, are offered to users based on identifying similar items. We discuss some of the problems with implementing recommendations and highlight areas for future work in the PATHS project.

Keywords

Digital libraries Recommendations Europeana 

Notes

Acknowledgements

The research leading to these results was carried out as part of the PATHS project (http://paths-project.eu) funded by the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 270082.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Paul Clough
    • 1
  • Arantxa Otegi
    • 2
  • Eneko Agirre
    • 2
  • Mark Hall
    • 3
  1. 1.Information SchoolSheffield UniversitySheffieldUK
  2. 2.IXA taldeaUniversity of the Basque CountryDonostiaBasque Country
  3. 3.Department of ComputingEdge Hill UniversityOrmskirkUK

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