Results 201 to 210 of about 13,214 (262)
Large language models reflect the ideology of their creators. [PDF]
NPJ Artif IntellBuyl M +10 more
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Estimating energy expenditure of sperm whales living in social units. [PDF]
Conserv PhysiolSilva MP +12 more
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Photo-based individual identification is more reliable than visible implant elastomer tags or toe-tipping in young agile frogs. [PDF]
PLoS OneNemesházi E +5 more
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Food digital marketing on social media: trends and strategies of Brazil's leading meal delivery app. [PDF]
Front NutrBarros PAA +4 more
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Discovering mythorealism: A corpus stylistic analysis of Yan Lianke's novels in English. [PDF]
PLoS OneZhang Y, Zhao C.
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Current landscape of social media and (Canadian Journal of) public health: Constructive engagement is needed and encouraged. [PDF]
Can J Public HealthPearman K, Fuller D.
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Proceedings of the 17th ACM conference on Information and knowledge management, 2008
This paper aims to quantify two common assumptions about social tagging: (1) that tags are "meaningful" and (2) that the tagging process is influenced by tag suggestions. For (1), we analyze the semantic properties of tags and the relationship between the tags and the content of the tagged page.
Suchanek, F. +2 more
openaire +2 more sources
This paper aims to quantify two common assumptions about social tagging: (1) that tags are "meaningful" and (2) that the tagging process is influenced by tag suggestions. For (1), we analyze the semantic properties of tags and the relationship between the tags and the content of the tagged page.
Suchanek, F. +2 more
openaire +2 more sources
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 2008
In this paper, we look at the "social tag prediction" problem. Given a set of objects, and a set of tags applied to those objects by users, can we predict whether a given tag could/should be applied to a particular object? We investigated this question using one of the largest crawls of the social bookmarking system del.icio.us gathered to date.
Paul Heymann +2 more
openaire +1 more source
In this paper, we look at the "social tag prediction" problem. Given a set of objects, and a set of tags applied to those objects by users, can we predict whether a given tag could/should be applied to a particular object? We investigated this question using one of the largest crawls of the social bookmarking system del.icio.us gathered to date.
Paul Heymann +2 more
openaire +1 more source
Proceedings of the 22nd ACM conference on Hypertext and hypermedia, 2011
Recent research has shown that different tagging motivation and user behavior can effect the overall usefulness of social tagging systems for certain tasks. In this paper, we provide further evidence for this observation by demonstrating that tagging data obtained from certain types of users - so-called Categorizers - outperforms data from other users ...
Zubiagab, Arkaitz +2 more
openaire +2 more sources
Recent research has shown that different tagging motivation and user behavior can effect the overall usefulness of social tagging systems for certain tasks. In this paper, we provide further evidence for this observation by demonstrating that tagging data obtained from certain types of users - so-called Categorizers - outperforms data from other users ...
Zubiagab, Arkaitz +2 more
openaire +2 more sources