Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Knowledge in the head and on the web: using topic expertise to aid search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The microstructures of social tagging: a rational model
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Characterizing the influence of domain expertise on web search behavior
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Signpost from the masses: learning effects in an exploratory social tag search browser
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Semantic Imitation Model of Social Tag Choices
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Facilitating exploratory search by model-based navigational cues
Proceedings of the 15th international conference on Intelligent user interfaces
Facilitating exploratory search by model-based navigational cues
Proceedings of the 15th international conference on Intelligent user interfaces
Semantic imitation in social tagging
ACM Transactions on Computer-Human Interaction (TOCHI)
User behavior in zero-recall ecommerce queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Learning by foraging: The impact of individual knowledge and social tags on web navigation processes
Computers in Human Behavior
How do users grow up along with search engines?: a study of long-term users' behavior
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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The arising popularity of social tagging system has the potential to transform traditional web search into a new era of social search. Based on the finding that domain expertise could influence search behavior in traditional search engines, we hypothesized and tested the idea that domain expertise would have similar influence on search behavior in a social tagging system. We conducted an experiment comparing search behavior of experts and novices when they searched using a tradition search engine and a social tagging system. Results from our experiment showed that experts relied more on their own domain knowledge to generate search queries, while novices were influenced more by social cues in the social tagging system. Experts were also found to conform to each other more than novices in their choice of bookmarks and tags. Implications on the design of future social information systems are discussed.