Social applications are rapidly popularizing collaborative tools for indexing, retrieval, access and distribution of content over the Internet. Very recently navigational paradigm has emerged due to the diffusion of folksonomies within popular tagging systems (e.g., Flickr, del.icio.us, and so on); in fact, folksonomies have been showed to overperform monolithic hierarchical classifications in social domains where many users with different mental attitudes and vocabularies are active. Moreover, social tagging provides us with a powerful way to manage online resources collaboratively. Users can freely choose words to describe resources and therefore resources get descriptions from various users represented as sets of tags, collectively forming a folksonomy. Tags are widely used in many Web 2.0 and social media Web sites, by which users can organize their own collections, discover interesting resources, and find friends with similar interests. Annotations are proved to be a useful source for aggregated services like social search, social link suggestion or personalized recommendation services. The descriptive power of folksonomies can be exploited to provide a recommender engine to cope with the problem of information overloading in digital media dataset. The X-Hinter project provides a REST API in python that provides the following services to social applications and mashups: - A Tagging Service that enables the users to annotate media content and services with the possibility to search and navigate them according to the tag space. - A Rating Service that provides a way to collect explicit feedbacks on content - A Recommender Service that suggests to the users media content related to their personal tastes

X-Hinter

PANISSON, ANDRE';SCHIFANELLA, ROSSANO;RUFFO, Giancarlo Francesco
2011

Abstract

Social applications are rapidly popularizing collaborative tools for indexing, retrieval, access and distribution of content over the Internet. Very recently navigational paradigm has emerged due to the diffusion of folksonomies within popular tagging systems (e.g., Flickr, del.icio.us, and so on); in fact, folksonomies have been showed to overperform monolithic hierarchical classifications in social domains where many users with different mental attitudes and vocabularies are active. Moreover, social tagging provides us with a powerful way to manage online resources collaboratively. Users can freely choose words to describe resources and therefore resources get descriptions from various users represented as sets of tags, collectively forming a folksonomy. Tags are widely used in many Web 2.0 and social media Web sites, by which users can organize their own collections, discover interesting resources, and find friends with similar interests. Annotations are proved to be a useful source for aggregated services like social search, social link suggestion or personalized recommendation services. The descriptive power of folksonomies can be exploited to provide a recommender engine to cope with the problem of information overloading in digital media dataset. The X-Hinter project provides a REST API in python that provides the following services to social applications and mashups: - A Tagging Service that enables the users to annotate media content and services with the possibility to search and navigate them according to the tag space. - A Rating Service that provides a way to collect explicit feedbacks on content - A Recommender Service that suggests to the users media content related to their personal tastes
1.0
Universita' degli Studi di Torino
http://arcs.di.unito.it/xhinter
http://is4mobi.di.unito.it/api
A. Panisson; R. Schifanella; G. Ruffo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/95973
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