DocumentCode
2501172
Title
Improving research paper searching with social tagging — A preliminary investigation
Author
Jomsri, P. ; Sanguansintukul, S. ; Choochaiwattana, W.
Author_Institution
Dept. of Math., Chulalongkorn Univ., Bangkok, Thailand
fYear
2009
fDate
20-22 Oct. 2009
Firstpage
152
Lastpage
156
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.
Keywords
Internet; indexing; information retrieval; search engines; social networking (online); CiteULike; Web resource discovery; Web resource searching; World Wide Web; normalized discount cumulative gain; research paper searching; search engines; social bookmarking systems; social tagging; Data mining; Filtering algorithms; Indexing; Information retrieval; Internet; Libraries; Natural language processing; Navigation; Search engines; Tagging;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing, 2009. SNLP '09. Eighth International Symposium on
Conference_Location
Bangkok
Print_ISBN
978-1-4244-4138-9
Electronic_ISBN
978-1-4244-4139-6
Type
conf
DOI
10.1109/SNLP.2009.5340927
Filename
5340927
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