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.
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- 1.
PATHS website: http://www.paths-project.eu/.
- 2.
Europeana website: http://www.europeana.eu/portal/.
- 3.
Semeval 2013: http://ixa2.si.ehu.es/sts/
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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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Clough, P., Otegi, A., Agirre, E., Hall, M. (2014). Implementing Recommendations in the PATHS System. In: Bolikowski, Ł., Casarosa, V., Goodale, P., Houssos, N., Manghi, P., Schirrwagen, J. (eds) Theory and Practice of Digital Libraries -- TPDL 2013 Selected Workshops. TPDL 2013. Communications in Computer and Information Science, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-08425-1_17
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