An Academic Search Engine for Personalized Rankings
DOI:
https://doi.org/10.6000/1929-7092.2017.06.36Keywords:
Personalized Ranking, Research Paper Search Engine, Academic Search EngineAbstract
Rapidly increasing information on the Internet and the World Wide Web can lead to information overload. Search engines become important tools to help WWW users to discover information. Exponential increases in published research papers, academic search engines become indispensable tools to search for papers in their expertise and related fields. In order to improve the quality of search, an academic search engines' capability should be enhanced. This paper proposes a search engine for personalized rankings. In order to evaluate the performance of personalized rankings, thirty-five graduate students from the Department of Web Engineering and Mobile Application Development at Dhurakij Pundit University are participants in the research experiment. Participants are asked to use a prototype of an academic search engine to find and bookmark any research papers according to their interests, which would guarantee that each participants' list of interesting research papers could be recorded. Normalized Discounted Cumulative Gain (NDCG) is used as a metric to determine the performance of the personalized rankings. The experiments suggest that the personalized rankings outperform the original search rankings. Hence, the proposed academic search engine with personalized ranking benefits research paper discovery.
References
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Zhang, Ming, Weichun Wang, and Xiaoming Li. 2008. “A Paper Recommender for Scientific Literatures Based on Semantic Concept Similarity.” Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information. pp. 359-362.
https://doi.org/10.1007/978-3-540-89533-6_44
Bogers Toine and Antal van den Bosch. 2008. “Recommending Scientific Articles Using CiteULike.” Proceedings of the 2008 ACM Conference on Recommender Systems. pp. 287-290.
Brin, Sergey and Lawrence Page. 1998. “The Anatomy of a Large-Scale Hypertextual Web Search Engine.” Journal of Computer Networks and ISDN Systems. 30(1-7):107-117.
Choochaiwattana, Worasit and Michael B. Spring. 2009. “Applying Social Annotations to Retrieve and Re-rank Web Resources.” Proceedings of the International Conference on Information Management and Engineering. pp. 215-219.
https://doi.org/10.1109/icime.2009.41
Choochaiwattana Worasit. 2010. “Usage of Tagging for Research Paper Recommendation.” Proceedings of the International Conference on Advanced Computer Theory and Engineering. pp. 439-442.
Craswell, Nick, David Hawking, and Stephen Robertson. 2001. “Effective Site Finding Using Link Anchor Information.” Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 250-257.
https://doi.org/10.1145/383952.383999
Croft, Bruce, Donald Metzler, and Trevor Strohman. 2009. Search Engines: Information Retrieval in Practice. 1st ed. Pearson Education.
Eiron, Nadav and Kevin S. McCurley. 2003. “Analysis of Anchor Text for Web Search.” Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 459-460.
https://doi.org/10.1145/860435.860550
Ishita, Emi, Teru Agata, Atsushi Ikeuchi, and Miyata Yosuke. 2010. “A Search Engine for Japanese Academic Papers.” Proceedings of the 10th ACM/IEEE-CS Joint Conference on Digital Libraries. pp. 379.
https://doi.org/10.1145/1816123.1816189
Järvelin, Kalervo and Jaana Kekäläinen. 2000. “IR Evaluation Methods for Retrieving Highly Relevant Documents.” Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 41-48.
Jomsri, Pijitra, Siripan Sanguansintukul, and Worasit. Choochaiwattana. 2009a “A Comparison of Search Engine Using ‘Tag Title and Abstract’ with CiteULike - An Initial Evaluation.” Proceedings of the International Conference on Internet TechnologJy and Secured Transactions. pp. 1-5.
Jomsri, Pijitra, Siripan Sanguansintukul, and Worasit Choochaiwattana. 2009b. “Improving Research Paper Searching with Social Tagging: A Preliminary Investigation.” Proceedings of the 8th International Symposium on Natural Language Processing. pp. 152-156.
Khabsa, Madian, Zhaohui Wu, and C. Lee Giles. 2016. “Towards Better Understanding of Academic Search.” Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries. pp. 111-114.
https://doi.org/10.1145/2910896.2910922
Küçüktunç, Onur, Erik Saule, Kamer Kaya, and Ümit V. Çatalyürek. 2013. “TheAdvisor: a webservice for academic recommendation.” Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries. pp. 433-434.
https://doi.org/10.1145/2467696.2467752
McNee, Sean M., Istvan Albert, Dan Cosley, Prateep Gopalkrishnan, Shyong K. Lam, Al Mamunur Rashid, Joseph A. Konstan ,and John Riedl. 2002. “On the Recommending of Citations for Research Papers.” Proceedings of the 2002 ACM Conference on Computer Supported Cooperative Work. pp. 116-125.
https://doi.org/10.1145/587078.587096
Noël, Sylvie and Russell Beale. 2008. “Sharing vocabularies: Tag usage in CiteULike.” Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction. pp. 71-74.
Page, Lawrence, Sergey Brin, Rajeev Motwani, and Terry Winograd. 1999 “The Pagerank Citation Ranking: Bringing Order to the Web.” Technical Report 1999-66, Stanford University.
Richarson, Matthew, Amit Prakash, and Eric Brill. 2006. “Beyond PageRank: machine learning for static ranking.” Proceedings of the 15th International Conference on World Wide Web. pp. 707-715.
Sanderson, Mark and W. Bruce Croft. 2012. “The History of Information Retrieval Research.” Proceedings of the IEEE 100. pp. 1444 -1451.
https://doi.org/10.1109/JPROC.2012.2189916
Tang Jie. 2016. “AMiner: Toward Understanding Big Scholar Data.” Proceedings of the 9th ACM International Conference on Web Search and Data Mining. pp. 467.
Vig, Jesse, Shilad Sen, and John Riedl. 2009. “Tagsplanations: Explaining Recommendations Using Tags.” Proceedings of the 14th International Conference on Intelligent User Interfaces. pp. 47-56.
Xue, Gui-Rong, Hua-Jun. Zeng, Zheng Chen, Yong Yu, Wei-Ying. Ma, WenSi Xi, and WeiGuo Fan. 2004. “Optimizing Web Search Using Web Click-through Data.” Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management. pp. 118-126.
https://doi.org/10.1145/1031171.1031192
Yin, Pin, Ming Zhang, and Xiaoming Li. 2007. “Recommending Scientific Literatures in a Collaborative Tagging Environment.” Proceedings of the 10th International Conference on Asian Digital Libraries: Looking Back 10 Years and Forging New Frontiers. pp. 478-481.
https://doi.org/10.1007/978-3-540-77094-7_60
Zhang, Ming, Weichun Wang, and Xiaoming Li. 2008. “A Paper Recommender for Scientific Literatures Based on Semantic Concept Similarity.” Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information. pp. 359-362.
https://doi.org/10.1007/978-3-540-89533-6_44
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Published
2017-06-09
How to Cite
Choochaiwattana, W. (2017). An Academic Search Engine for Personalized Rankings. Journal of Reviews on Global Economics, 6, 350–354. https://doi.org/10.6000/1929-7092.2017.06.36
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Special Issue - Recent Topical Research on Global, Energy, Health & Medical, and Tourism Economics, and Global Software
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