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Implementing Recommendations in the PATHS System

Name: Implementing Recommendations in the PATHS System
Keywords: QA75 Electronic computers. Computer science

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2014 United Kingdom Publisher:Springer International Publishing

Authors: Clough, Paul; Otegi, Arantxa; Agirre, Eneko; Hall, Mark M;

doi: 10.1007/978-3-319-08425-1_17

Implementing Recommendations in the PATHS System

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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.

Country

United Kingdom

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Keywords

QA75 Electronic computers. Computer science

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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