A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.
%0 Conference Paper
%1 sen2006tagging
%A Sen, Shilad
%A Lam, Shyong K.
%A Rashid, Al Mamunur
%A Cosley, Dan
%A Frankowski, Dan
%A Osterhouse, Jeremy
%A Harper, F. Maxwell
%A Riedl, John
%B CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
%C New York, NY, USA
%D 2006
%I ACM
%K bookmarking communities evolution folksonomy recommender social tag tagging vocabulary
%P 181--190
%R http://doi.acm.org/10.1145/1180875.1180904
%T tagging, communities, vocabulary, evolution
%U http://portal.acm.org/citation.cfm?id=1180904
%X A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.
%@ 1-59593-249-6
@inproceedings{sen2006tagging,
abstract = {A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.},
added-at = {2008-10-27T09:03:09.000+0100},
address = {New York, NY, USA},
author = {Sen, Shilad and Lam, Shyong K. and Rashid, Al Mamunur and Cosley, Dan and Frankowski, Dan and Osterhouse, Jeremy and Harper, F. Maxwell and Riedl, John},
biburl = {https://www.bibsonomy.org/bibtex/2582641c05e7a0b9396945a951822c83f/jaeschke},
booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
description = {tagging, communities, vocabulary, evolution},
doi = {http://doi.acm.org/10.1145/1180875.1180904},
interhash = {96b20bffcbc91e528461529935524b90},
intrahash = {582641c05e7a0b9396945a951822c83f},
isbn = {1-59593-249-6},
keywords = {bookmarking communities evolution folksonomy recommender social tag tagging vocabulary},
location = {Banff, Alberta, Canada},
pages = {181--190},
publisher = {ACM},
timestamp = {2014-07-28T15:57:31.000+0200},
title = {tagging, communities, vocabulary, evolution},
url = {http://portal.acm.org/citation.cfm?id=1180904},
year = 2006
}