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Towards Personalized Social Recommendations for Cultural Heritage Activities

Methods and technology to enable cohesive and inclusive recommendations
Authors: Belén Díaz-Agudo; Alessio Bosca; Andrea Bolioli; Guilermo Jimenez Jimenez Diaz; Tsvi Kuflik; Alan J. Wecker;

Towards Personalized Social Recommendations for Cultural Heritage Activities

Abstract

The aim of the SPICE project is to build social cohesion, both between and within citizen communities, by developing tools and methods to support citizen curation. We define citizen curation as a process in which cultural objects are used as a resource by citizens to develop their own personal interpretations. Within communities, citizens can use their interpretations to build a representation of themselves and their shared perspective on culture. Interpretations can also be used to support social cohesion across groups. In this short position paper we outline the methodologies and technologies needed to be built in order to build a recommender system of cultural objects that will implement these goals of social cohesion and inclusion.

Keywords

Semantic Text analysis, User Model, Community model, Social Recommender

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selected citations
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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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