Abstract
Social bookmarking is emerging as a new information infrastructure on the web, and has the ability of organizing multicultural metadata for large scale of digital entities. To achieve its potential, we propose a technique to extract the substantial correlation among tags. Based on it, we maintain profiles for users’ interests, and recommend items according to them. Experiments against data from del.icio.us reveal the superiority of our method.
This work is partially supported by the National Basic Research Program (973) under grant No. 2005CB321905, the NSFC Key Program under the grant No. 69933010, and the Chinese Hi-tech (863) Projects under the grant No. 2002AA4Z3430, and No. 2002AA231041.
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References
Adam, M.: Folksonomies Cooperative Classification and Communication Through Shared Metadata (2004), http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html
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© 2005 Springer-Verlag Berlin Heidelberg
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Xu, Y., Zhang, L. (2005). Personalized Information Service Based on Social Bookmarking. In: Fox, E.A., Neuhold, E.J., Premsmit, P., Wuwongse, V. (eds) Digital Libraries: Implementing Strategies and Sharing Experiences. ICADL 2005. Lecture Notes in Computer Science, vol 3815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599517_62
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DOI: https://doi.org/10.1007/11599517_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30850-8
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