Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics Export

@inproceedings{citeulike:2153075, abstract = {To improve existing social bookmarking systems and to design new ones, researchers and practitioners need to understand how to evaluate tagging behavior. In this paper, we analyze over two years of data from CiteULike, a social bookmarking system for tagging academic papers. We propose six tag metrics-tag growth, tag reuse, tag non-obviousness, tag discrimination, tag frequency, and tag patterns-to understand the characteristics of a social bookmarking system. Using these metrics, we suggest possible design heuristics to implement a social bookmarking system for CiteSeer, a popular online scholarly digital library for computer science. We believe that these metrics and design heuristics can be applied to social bookmarking systems in other domains.}, address = {New York, NY, USA}, author = {Farooq, Umer and Kannampallil, Thomas G. and Song, Yang and Ganoe, Craig H. and Carroll, John M. and Giles, Lee}, booktitle = {GROUP '07: Proceedings of the 2007 international ACM conference on Supporting group work}, citeulike-article-id = {2153075}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1316677}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1316624.1316677}, doi = {10.1145/1316624.1316677}, isbn = {978-1-59593-845-9}, keywords = {behavior, bookmarking, citeseer, citeulike, design, evaluation, heuristics, metrics, site, social, tagging, usage}, location = {Sanibel Island, Florida, USA}, pages = {351--360}, posted-at = {2008-09-16 08:10:35}, priority = {0}, publisher = {ACM}, title = {Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics}, url = {http://dx.doi.org/10.1145/1316624.1316677}, year = {2007} }

TY - CONF ID - citeulike:2153075 L3 - citeulike-article-id:2153075 N2 - To improve existing social bookmarking systems and to design new ones, researchers and practitioners need to understand how to evaluate tagging behavior. In this paper, we analyze over two years of data from CiteULike, a social bookmarking system for tagging academic papers. We propose six tag metrics-tag growth, tag reuse, tag non-obviousness, tag discrimination, tag frequency, and tag patterns-to understand the characteristics of a social bookmarking system. Using these metrics, we suggest possible design heuristics to implement a social bookmarking system for CiteSeer, a popular online scholarly digital library for computer science. We believe that these metrics and design heuristics can be applied to social bookmarking systems in other domains. CY - Sanibel Island, Florida, USA SN - 978-1-59593-845-9 AD - New York, NY, USA EP - 360 TI - Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics PB - ACM T2 - GROUP '07: Proceedings of the 2007 international ACM conference on Supporting group work SP - 351 KW - behavior KW - bookmarking KW - citeseer KW - citeulike KW - design KW - evaluation KW - heuristics KW - metrics KW - site KW - social KW - tagging KW - usage AU - Farooq, Umer AU - Kannampallil, Thomas AU - Song, Yang AU - Ganoe, Craig AU - Carroll, John AU - Giles, Lee PY - 2007/// UR - http://dx.doi.org/10.1145/1316624.1316677 ER -