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Leveraging semantic similarity for folksonomy-based recommendation

Godoy, Daniela Lis et al · Institute of Electrical and Electronics Engineers · 2014

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For recommending interesting resources, such as Web pages or pictures available in social tagging systems, assessing their similarity with user profiles is crucial. Here, we analyze the role of semantic similarity to calculate the resemblance between user profiles and published resources in folksonomies. Experiments carried out with data from two social sites showed that associating semantics to tags results in more accurate similarities among elements in tagging systems and, consequently, enhances recommendations. Fil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina Fil: Rodriguez, Gustavo. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina

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APA 7

Godoy, D. L. E. A. (2014). Leveraging semantic similarity for folksonomy-based recommendation. http://hdl.handle.net/11336/6786

MLA

Godoy, Daniela Lis et al. "Leveraging semantic similarity for folksonomy-based recommendation." 2014. http://hdl.handle.net/11336/6786.

Chicago

Godoy, Daniela Lis et al. 2014. "Leveraging semantic similarity for folksonomy-based recommendation.". http://hdl.handle.net/11336/6786.

Harvard

Godoy, D. L. E. A. 2014, Leveraging semantic similarity for folksonomy-based recommendation, Institute of Electrical and Electronics Engineers, available at: http://hdl.handle.net/11336/6786 [Accessed 8 Aug. 2026].

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Title
Leveraging semantic similarity for folksonomy-based recommendation
Author / contributors
Godoy, Daniela Lis et al
Publisher
Institute of Electrical and Electronics Engineers
Publication year
2014
ISSN
1089-7801
ISSN
1089-7801
Language
English

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