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Towards a Tag-Based User Model: How Can User Model Benefit from Tags?

by: Francesca Carmagnola, Federica Cena, Omar Cortassa, Cristina Gena, and Ilaria Torre

In: User Modeling 2007, Vol. 4511 Berlin, Heidelberg: Springer Berlin Heidelberg (2009) , p. 445--449.

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URL:	http://dx.doi.org/10.1007/978-3-540-73078-1\_62
DOI:	10.1007/978-3-540-73078-1\_62

Social tagging is a kind of social annotation by which users label resources, typically web objects, by means of keywords with the goal of sharing, discovering and recovering them. In this paper we investigate the possibility of exploiting the user tagging activity in order to infer knowledge about the user. Up to now the relation between tagging and user modeling seems not to have been investigated in depth. Given the widespread diffusion of web tools for collaborative tagging, it is interesting to understand how user modeling can benefit from this feedback.

Description

djsaab's CiteULike library 20091211

BibTeX record

@incollection{citeulike:1979432,
  abstract = {Social tagging is a kind of social annotation by which users label resources, typically web objects, by means of keywords with the goal of sharing, discovering and recovering them. In this paper we investigate the possibility of exploiting the user tagging activity in order to infer knowledge about the user. Up to now the relation between tagging and user modeling seems not to have been investigated in depth. Given the widespread diffusion of web tools for collaborative tagging, it is interesting to understand how user modeling can benefit from this feedback.},
  added-at = {2009-12-11T23:34:46.000+0100},
  address = {Berlin, Heidelberg},
  author = {Carmagnola, Francesca and Cena, Federica and Cortassa, Omar and Gena, Cristina and Torre, Ilaria},
  biburl = {http://www.bibsonomy.org/bibtex/298a4bee9c4eb110afd2bacfabf8dcfc6/djsaab},
  booktitle = {User Modeling 2007},
  chapter = 62,
  citeulike-article-id = {1979432},
  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1419488},
  citeulike-linkout-1 = {http://dx.doi.org/10.1007/978-3-540-73078-1\_62},
  citeulike-linkout-2 = {http://www.springerlink.com/content/b28v28618352h130},
  description = {djsaab's CiteULike library 20091211},
  doi = {10.1007/978-3-540-73078-1\_62},
  editor = {Conati, Cristina and McCoy, Kathleen and Paliouras, Georgios},
  interhash = {a9bb046c58ac93e3d6edf2e744383b2a},
  intrahash = {98a4bee9c4eb110afd2bacfabf8dcfc6},
  isbn = {978-3-540-73077-4},
  issn = {0302-9743},
  journal = {User Modeling 2007},
  keywords = {social, tagging, user\_model},
  location = {Corfu, Greece},
  pages = {445--449},
  posted-at = {2008-05-29 15:08:34},
  priority = {2},
  publisher = {Springer Berlin Heidelberg},
  series = {Lecture Notes in Computer Science},
  timestamp = {2009-12-11T23:34:46.000+0100},
  title = {Towards a Tag-Based User Model: How Can User Model Benefit from Tags?},
  url = {http://dx.doi.org/10.1007/978-3-540-73078-1\_62},
  volume = 4511,
  year = 2009
}

Endnote record

%0 Book Section
%1 citeulike:1979432
%A Carmagnola, Francesca
%A Cena, Federica
%A Cortassa, Omar
%A Gena, Cristina
%A Torre, Ilaria
%B User Modeling 2007
%@ 978-3-540-73077-4
%C Berlin, Heidelberg
%D 2009
%E Conati, Cristina
%E McCoy, Kathleen
%E Paliouras, Georgios
%I Springer Berlin Heidelberg
%J User Modeling 2007
%K 
%P 445--449
%T Towards a Tag-Based User Model: How Can User Model Benefit from Tags?
%R 10.1007/978-3-540-73078-1\_62
%U http://dx.doi.org/10.1007/978-3-540-73078-1\_62
%V 4511
%X Social tagging is a kind of social annotation by which users label resources, typically web objects, by means of keywords with the goal of sharing, discovering and recovering them. In this paper we investigate the possibility of exploiting the user tagging activity in order to infer knowledge about the user. Up to now the relation between tagging and user modeling seems not to have been investigated in depth. Given the widespread diffusion of web tools for collaborative tagging, it is interesting to understand how user modeling can benefit from this feedback.
%& 62