Can social bookmarking improve web search?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Exploring social annotations for information retrieval
Proceedings of the 17th international conference on World Wide Web
Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web
Information Processing and Management: an International Journal
Can all tags be used for search?
Proceedings of the 17th ACM conference on Information and knowledge management
A study of information retrieval on accumulative social descriptions using the generation features
Proceedings of the 18th ACM conference on Information and knowledge management
Identification of useful user comments in social media: a case study on flickr commons
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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This paper presents our ongoing study of the current/future impact of social bookmarks (or social tags) on information retrieval (IR). Our main research question asked in the present work is "How are social tags compared with conventional, yet reliable manual indexing from the viewpoint of IR performance?". To answer the question, we look at the biomedical literature and begin with examining basic statistics of social tags from CiteULike in comparison with Medical Subject Headings (MeSH) annotated in the Medline bibliographic database. Then, using the data, we conduct various experiments in an IR setting, which reveals that social tags work complementarily with MeSH and that retrieval performance would improve as the coverage of CiteULike grows.