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2007
ACM

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

13 years 7 months ago
Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics
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. Categories and Subject Descriptors: H.5.3 [Group and Organization Interfaces]: Collaborative computing. General Terms: Design
Umer Farooq, Thomas George Kannampallil, Yang Song
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where GROUP
Authors Umer Farooq, Thomas George Kannampallil, Yang Song, Craig H. Ganoe, John M. Carroll, C. Lee Giles
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