Results 201 to 210 of about 13,235 (262)

Estimating energy expenditure of sperm whales living in social units. [PDF]

open access: yesConserv Physiol
Silva MP   +12 more
europepmc   +1 more source

Food digital marketing on social media: trends and strategies of Brazil's leading meal delivery app. [PDF]

open access: yesFront Nutr
Barros PAA   +4 more
europepmc   +1 more source

Survey on social tagging techniques

SIGKDD Explorations: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, 2010
Social tagging on online portals has become a trend now. It has emerged as one of the best ways of associating metadata with web objects. With the increase in the kinds of web objects becoming available, collaborative tagging of such objects is also developing along new dimensions. This popularity has led to a vast literature on social tagging. In this
Jiawei Han, Rui Li, Zhijun Yin
exaly   +2 more sources

Social tags

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

Social tag prediction

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

Tags vs shelves

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

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