Authors: Pijitra Jomsri, Siripun Sanguansintukul, Worasit Choochaiwattana
Addresses: 254 Department of Mathematics, Faculty of Science, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand. ' 254 Department of Mathematics, Faculty of Science, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand. ' 110/1-4 Faculty of Information Technology, Dhurakij Pundit University, Prachachuen Road, Laksi, Bangkok 10210, Thailand
Abstract: Search engines and social bookmarking systems are important tools for web resource discovery. The performance and capabilities of web search engines are vital. This paper proposes CiteRank, a combination of a similarity ranking with a static ranking. Similarity ranking measures the match between a query and a research paper index; while a static ranking, or a query independent ranking, measures the quality of a research paper. For this particular study, a group of factors containing: number of groups contained the posted paper, year of publication, research paper posted time, and priority of a research paper was used to determine a static ranking score. The NDCG was used as an evaluation metric. CiteRank was compared with SimRank and StaticRank. The results of the experiment showed that CiteRank produces a better ranking than the other methods. This implies that CiteRank can improve the effectiveness of research paper searching on social bookmarking websites.
Keywords: static ranking; research papers; research paper searching; combination ranking; similarity ranking; web search engines; web resource discovery; social bookmarking sites.
International Journal of Internet Technology and Secured Transactions, 2011 Vol.3 No.2, pp.161 - 177
Available online: 19 Apr 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article