A Hybrid Model Ranking Search Result for Research Paper Searching on Social Bookmarking
Journal Title: EAI Endorsed Transactions on Collaborative Computing - Year 2015, Vol 1, Issue 3
Abstract
Social bookmarking and publication sharing systems are essential tools for web resource discovery. The performance and capabilities of search results from research paper bookmarking system are vital. Many researchers use social bookmarking for searching papers related to their topics of interest. 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 and type of research paper publication are combined with similarity ranking called (HybridRank). Different weighting scores are employed. The retrieval performance of these weighted combination rankings are evaluated using mean values of NDCG. The results suggest that HybridRank and similarity rank with weight 75:25 has the highest NDCG scores. From the preliminary result of experiment, the combination ranking technique provide more relevant research paper search results. Furthermore the chosen heuristic ranking can improve the efficiency of research paper searching on social bookmarking websites.
Authors and Affiliations
pijitra jomsri, Dulyawit Prangchumpol
Keywords
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- EP ID EP45694
- DOI http://dx.doi.org/10.4108/icst.iniscom.2015.258417
- Views 287
- Downloads 0
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A Hybrid Model Ranking Search Result for Research Paper Searching on Social Bookmarking
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