Inproceedings,

Improving research paper searching with social tagging - A preliminary investigation

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2009 Eighth International Symposium on Natural Language Processing, page 152--156. IEEE, (October 2009)
DOI: 10.1109/snlp.2009.5340927

Abstract

The WWW provides an efficient way to store and share information. Search engines and social bookmarking systems are important tools for Web resource discovery. This study investigated three different indexing approaches applied to CiteULike - a social bookmarking system for tagging academic research papers. The indexing approaches here are known as: Tag only; Title with Abstract; and Tag, Title with Abstract. These three indexing approaches were evaluated using mean values of normalized discount cumulative gain (NDCG). The preliminary results illustrated that indexing using "Tag, Title, with Abstract" performed the best. The initial evaluation on our implementation implied that these designs might improve the accuracy and efficiency of Web resource searching on social bookmarking system, not only in academics but also in other domains.

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