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Medientyp:
E-Artikel
Titel:
Understanding the Efficiency of Social Tagging Systems Using Information Theory
Beteiligte:
Chi, Ed;
Mytkowicz, Todd
Erschienen:
Association for the Advancement of Artificial Intelligence (AAAI), 2021
Erschienen in:
Proceedings of the International AAAI Conference on Web and Social Media, 2 (2021) 1, Seite 178-179
Sprache:
Nicht zu entscheiden
DOI:
10.1609/icwsm.v2i1.18639
ISSN:
2334-0770;
2162-3449
Entstehung:
Anmerkungen:
Beschreibung:
<jats:p>Given the rise in popularity of social tagging systems, it seems only natural to ask how efficient is the organically evolved tagging vocabulary in describing any underlying document objects? Does this distributed process really provide a way to circumnavigate the traditional categorization problem with ontologies? We analyze a social tagging site, namely del.icio.us, with information theory in order to evaluate the efficiency of this social tagging site for encoding navigation paths to information sources.</jats:p>