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ABSTRACT

In this paper we describe a model of social and collaborative search based on the use of tags. First we will introduce the issues that drove us to the definition of this model, analyzing different elements characterizing the web 2.0 paradigm and their effect on traditional search and classification systems. Afterwards we will present TAG Vision, a prototype implementation of the model, developed in order to investigate new approaches for information retrieval.

REFERENCES

• 1: Bikhchandani, S., Hirshleifer, D.&Welch, I. (1998) "Learning from the Behavior of Others: Conformity, Fads and Informational Cascades".
• 2: Strohmaier, M. (SSM 2008) "Purpose Tagging: Capturing User Intent to Assist Goal--Oriented Social Search"
• 3: Wang, J., Davison, B. (SSM 2008) "Explorations in Tag Suggestion and Query Expansion"
• 4: Scott A. Golder , Bernardo A. Huberman, Usage patterns of collaborative tagging systems, Journal of Information Science, v.32 n.2, p.198-208, April 2006 [doi>10.1177/0165551506062337]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.4 Hypertext/Hypermedia
          Subjects: Navigation

General Terms:
Algorithms, Experimentation, Human Factors, Standardization

Keywords:
search, social bookmarking, social network, tag co-occurrence, tagging