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  Social Tags: Meaning and Suggestions

Suchanek, F., Vojnovic, M., & Gunawardena, D. (2008). Social Tags: Meaning and Suggestions. In J. G. Shanahan (Ed.), Database information retrieval knowledge management: CIKM 2008, ACM 17th Conference on Information and Knowledge Management (pp. 223-232). New York, NY: ACM.

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 Creators:
Suchanek, Fabian1, Author           
Vojnovic, Milan, Author
Gunawardena, Dinan, Author
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: This paper aims to quantify two common assumptions about social tagging: (1) that tags are ``meaningful" and (2) that the tagging process is influenced by tag suggestions. For (1), we analyze the semantic properties of tags and the relationship between the tags and the content of the tagged page. Our analysis is based on a corpus of search keywords, contents, titles, and tags applied to several thousand popular Web pages. Among other results, we find that the more popular tags of a page tend to be the more meaningful ones. For (2), we develop a model of how the influence of tag suggestions can be measured. From a user study with over 4,000 participants, we conclude that roughly one third of the tag applications may be induced by the suggestions. Our results would be of interest for designers of social tagging systems and are a step towards understanding how to best leverage social tags for applications such as search and information extraction.

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Language(s): eng - English
 Dates: 2009-03-302008
 Publication Status: Issued
 Pages: -
 Publishing info: New York, NY : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 428233
URI: http://doi.acm.org/10.1145/1458082.1458114
Other: Local-ID: C125756E0038A185-408B4BA547B1611BC12575050051131E-Suchanek@cikm2008
 Degree: -

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Title: Untitled Event
Place of Event: Napa, CA, USA
Start-/End Date: 2008-10-26 - 2008-10-30

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Title: Database information retrieval knowledge management : CIKM 2008, ACM 17th Conference on Information and Knowledge Management
Source Genre: Proceedings
 Creator(s):
Shanahan, James G., Editor
Affiliations:
-
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 223 - 232 Identifier: ISBN: 978-1-59593-991-3