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tagging, communities, vocabulary, evolution

CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, : 181--190, 2006.
Authors: Shilad Sen and Shyong K. Lam and Al M. Rashid and Dan Cosley and Dan Frankowski and Jeremy Osterhouse and Maxwell F. Harper and John Riedl
URL: http://portal.acm.org/citation.cfm?id=1180875.1180904
Tags: mrefs research.web20.tagging state.toRead study.web20
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.
| URL | BibTeX  
@inproceedings{sen06tagging,
title = {tagging, communities, vocabulary, evolution},
address = {New York, NY, USA},
author = {Shilad Sen and Shyong K. Lam and Al M. Rashid and Dan Cosley and Dan Frankowski and Jeremy Osterhouse and Maxwell F. Harper and John Riedl},
booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
pages = {181--190},
publisher = {ACM Press},
url = {http://portal.acm.org/citation.cfm?id=1180875.1180904},
year = {2006},
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.},
citeulike-article-id = {965334}, priority = {2}, isbn = {1595932496}, doi = {10.1145/1180875.1180904},
keywords = {mrefs research.web20.tagging state.toRead study.web20 }
}