ABSTRACT
Social tagging arose out of the need to organize found content that is worth revisiting. A significant side effect has been the use of social tagging sites as navigational signposts for interesting content. The collective behavior of users who tagged contents seems to offer a good basis for exploratory search interfaces, even for users who are not using social bookmarking sites. In this paper, we present the design of a tag-based exploratory system and detail an experiment in understanding its effectiveness. The tag-based search system allows users to utilize relevance feedback on tags to indicate their interest in various topics, enabling rapid exploration of the topic space. The experiment shows that the system seems to provide a kind of scaffold for users to learn new topics.
Supplemental Material
- Baeza-Yates, R. and Ribeiro-Neto, B. Modern Information Retrieval. Addison Wesley, 1999. Google ScholarDigital Library
- Bush, V. As We May Think. The Atlantic Monthly, 176, 1, (1945),101--108.Google Scholar
- Chi, E.H. and Mytkowicz, T. Understanding the Efficiency of Social Tagging Systems using Information Theory. Proc. Hypertext 2008, ACM Press (2008),. 81--88. Google ScholarDigital Library
- Evans, B. and Chi, E. H. Towards a Model of Understanding Social Search. In Proc. of Computer-Supported Cooperative Work (CSCW), pp. 485--494. ACM Press, 2008. San Diego, CA. Google ScholarDigital Library
- Fitzpatrick, L. and Dent, M. Automatic feedback using past queries: social searching? Proc. 20th Annual Intern. ACM SIGIR Conference. ACM Press (1997), 306--313. Google ScholarDigital Library
- Furnas, G.W., Fake, C., von Ahn, L., Schachter, J., Golder, S., Fox, K., Davis, M., Marlow, C. Naaman, M. Why do tagging systems work? Extended Abstracts CHI 2006, ACM Press (2006), 36--39. Google ScholarDigital Library
- Furnas, G.W., Landauer, T.K., Gomez, L.M. and Dumais, S.T. The vocabulary problem in human-system communication. Communications of the ACM, 30 (1987), 964--971. Google ScholarDigital Library
- Glance, N.S. Community search assistant. Proc. IUI 2001, ACM Press (2001), 91--96. Google ScholarDigital Library
- Golder, S. and Huberman, B.A. Usage Patterns of Collaborative Tagging Systems. Journal of Information Science, 32, 2 (2006), 198--208. Google ScholarDigital Library
- Hart, S.G. and Staveland, L.E. Development of the NASA-tlx (Task Load Index): Results of empirical and theoretical research. Human Mental Workload (1988), 139--183.Google Scholar
- Hong, L., Chi, E.H., Budiu, R., Pirolli, P. and Nelson, L. SparTag.us: Low Cost Tagging System for Foraging of Web Content. Proc. AVI 2008, ACM Press (2008), 65--72. Google ScholarDigital Library
- Kittur, A., Chi, E.H., and Suh, B. Crowdsourcing user studies with Mechanical Turk. Proc. CHI 2008, ACM Pres (2008), 453--456. Google ScholarDigital Library
- Lee, K.J. What Goes Around Comes Around: An Analysis of del.icio.us as Social Space. Proc. CSCW'06, ACM Press (2006), 191--194. Google ScholarDigital Library
- Marchionini, G. Exploratory search: From finding to understanding. Communications of the ACM, 49, 4 (2006), 41--46. Google ScholarDigital Library
- Millen, D., Yang, M., Whittaker, S.and Feinberg, J. Social bookmarking and exploratory search. In L. Bannon, I. Wagner, C. Gutwin, R. Harper, and K. Schmidt (eds.). Proc. ECSCW'07, Springer (2007) 21--40.Google Scholar
- Raghavan, V.V. and Sever, H. On the Reuse of Past Optimal Queries. Proc. SIGIR95, ACM Press (1995), 344--350. Google ScholarDigital Library
- Shneiderman, B., Byrd, D. and Croft, W.B. Clarifying search: a user-interface framework for text searches, D-lib magazine, 3, 1 (1997), Available at http://www.dlib.org/dlib/january97/retrieval/01shneiderman.html.Google Scholar
- Simon, H.A. Structure of ill structured problems. Artificial Intelligence, 4, 3--4 (1973), 181--201.Google ScholarCross Ref
- White, R.W., Drucker, S.M., Marchionini, M., Hearst, M., schraefel, m.c. Exploratory search and HCI: designing and evaluating interfaces to support exploratory search interaction. Extended Abstracts CHI 2007, ACM Press (2007), 2877--2880. Google ScholarDigital Library
Index Terms
- Signpost from the masses: learning effects in an exploratory social tag search browser
Recommendations
Enabling semantics-aware collaborative tagging and social search in an open interoperable tagosphere
iiWAS '08: Proceedings of the 10th International Conference on Information Integration and Web-based Applications & ServicesTo make the most of a global network effect and to search and filter the Long Tail, a collaborative tagging approach to social search should be based on the global activity of tagging, rating and filtering. We take a further step towards this objective ...
The value of social search: seeking collective personal experience in social Q&A
ASIST '13: Proceedings of the 76th ASIS&T Annual Meeting: Beyond the Cloud: Rethinking Information BoundariesIn this paper, we examine the value of social question-answering (Q&A) services as a platform for social search. We present a quasi-field study where we instructed 20 study participants to use a social Q&A service, Yahoo! Answers, for a period of one ...
Survey on social tagging techniques
Social tagging on online portals has become a trend now. It has emerged as one of the best ways of associating metadata with web objects. With the increase in the kinds of web objects becoming available, collaborative tagging of such objects is also ...
Comments