A combination ranking model for research paper social bookmarking systems

Authors:
Pijitra Jomsri;Siripun Sanguansintukul;Worasit Choochaiwattana
Affiliations:
Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand;Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand;Faculty of Information Technology, Dhurakij Pundit University, Bangkok, Thailand
Venue:
AMT'11 Proceedings of the 7th international conference on Active media technology
Year:
2011

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Abstract

Social bookmarking systems are essential tools for web resource discovery. The performance and capabilities of search results from research paper bookmarking system are vital. This paper proposes a combination of similarity based indexing "tag title and abstract" and static ranking to improve search results. In this particular study, the year of the published paper is combined with similarity ranking called (CSYRank). Different weighting scores are employed. The retrieval performance of these weighted combination rankings are evaluated using mean values of NDCG. The results indicate that CSYRank and similarity rank with weight 90:10 has the highest NDCG scores. The result from the experiments implies that the chosen heuristic ranking may improve the efficiency of research paper searching on social bookmarking websites.