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.
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References
CiteULike, http://www.CiteULike.org
Connotea, http://www.connotea.org
BibSonomy, http://www.bibsonomy.org
Jomsri, P., Sanguansintukul, S., Choochaiwattana, W.: Improve Research paper Searching with social tagging-A Preliminary Investigation. In: the Eight International Symposium on Natural Language Processing, pp. 152–156. IEEE Press, Thailand (2009)
Jomsri, P., Sanguansintukul, S., Choochaiwattana, W.: A Comparison of Search Engine Using Tag Title and Abstract with CiteULike – An Initial Evaluation. In: The 4th International Conference for Internet Technology and Secured Transactions (ICITST 2009), IEEE Press, United Kingdom (2009)
Capocci, A., Caldarelli, G.: Folksonomies and Clustering in the Collaborative System CiteULike, arXiv Press, eprint No. 0710.2835 (2007)
Farooq, U., Kannampallil, T.G., Song, Y., Ganoe, C.H., John, M.C., Giles, L.: Evalating Tagging Behavior in Social Bookmarking Systems: Metrics and design heuristics. In: Proceedings of the 2007 International ACM Conference on Supporting Group Work (GROUP 2007), pp. 351–360. ACM Press, USA (2007)
Bogers, T., van den Bosch, A.: Recommending Scientific Articles Using CiteULike. In: Proceedings of the 2008 ACM Conference on Recommender Systems RecSys 2008, pp. 287–290. ACM Press, Switzerland (2008)
Santos-Neto, E., Ripeanu, M., Iamnitchi, A.: Tracking usage in collaborative tagging communities
Berberich, K., Vazirgiannis, M., Weikum, G.: T-Rank: Time-Aware Authority Ranking. In: Leonardi, S. (ed.) WAW 2004. LNCS, vol. 3243, pp. 131–142. Springer, Heidelberg (2004)
Choochaiwattana, W., Spring, M.B.: Applying Social Annotations to Retrieve and Re-rank Web Resources. In: Proceedings of 2009 International Conference on Information Management and Engineering (ICIME 2009). IEEE Press, Malaysia (2009)
Craswell, N., Robertson, S., Zaragoza, H., Taylor, M.: Relevance weighting for query independent evidence. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM Press, Brazil (2005)
Farooq, U., Ganoe, C.H., Carroll, J.M., Giles, C.L.: Supporting distributed scientific collaboration: Implications fordesigning the CiteSeer collaborator. In: Proceedings of the Hawaii Int’l Conference on System Sciences. IEEE Computer Society Press, Hawaii (2007)
Mohammad Zareh Bidoki, A., Ghodsnia, P., Yazdani, N., Oroumchian, F.: A3CRank: An adaptive ranking method based on connectivity, content and click-through data. J. Information Processing and Management 46, 159–169 (2010)
Richardson, M., Prakash, A., Brill, E.: Beyond PageRank: Machine Learning for Static Ranking. In: Proceedings of the 15th International Conference on World Wide Web. IEEE Press, Scotland (2006)
Salton, G., Buckley, C.: Term weighting approaches in automatic text retrieval. J. Information Processing and Management 24(5), 513–523 (1988)
Dou, Z., Song, R., Wen, J.-R.: A large-scale evaluation and analysis of personalized search strategies. In: WWW 2007: Proceedings of the 16th International Conference on World Wide Web (2007)
Jarvelin, K., Kekalainen, J.: IR evaluation methods for retrieving highly relevant documents. In: Proceeding of the International World Wide Web Conference, WWW 2006 (2006)
Hatcher, E., Gospodnetic, O.: Lucene in Action. Manning Publications Co., United States of America (2006)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. ACM Press, Addison-Wesley
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Jomsri, P., Sanguansintukul, S., Choochaiwattana, W. (2011). A Combination Ranking Model for Research Paper Social Bookmarking Systems. In: Zhong, N., Callaghan, V., Ghorbani, A.A., Hu, B. (eds) Active Media Technology. AMT 2011. Lecture Notes in Computer Science, vol 6890. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23620-4_20
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DOI: https://doi.org/10.1007/978-3-642-23620-4_20
Publisher Name: Springer, Berlin, Heidelberg
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