http://www.eric.ed.gov/ericwebPortAl/cUsTom/pOrtlets/recoRddeta jsp? nfpb=true&&ERICExtSearch Search Value 0=EJ42169 Search SearchType_O-no&accnoFEJ421691 18 M. Pinto. (2008, Oct). Cyberabstracts: a portal information literacy ski ACcuracy Information Science(JIS). Volume(34), Pp.667-679. Avai http://jis.sagepub.com/cgi/content/abstract/345/667 9 M. Pinto.(2008, Oct). The role of ing to abstract Joumal of Information Science (JIS). Volume(34), 99-815.Available:http://jis.sagepub.com/cgi/content/abstract/34/6/799 Figure3. Accuracy of recommender system 10]C. Schmitz, A. Hotho, R. Jaschke, and G Stumme.(2008, Oct). Mining Association rule in Folksonomies. Journal of Information Science(JIS). 11]J Li, O Zaiane: Combining Usage, Content, and Structure Data to V. CONCLUSION workshop on Web Mining and Web Usage, (2004) This paper presents a framework for the development of a [12]P Kazienko, M Kiewra: Integration of relational databases and esearch paper recommender system. The framework portrays content for product and page recommendation, Database Engineer recommender system. The objective of this framework is to [13N Golovin, E Rahm Reinforcement leaming Architecture for Web indicate what components and what modules they have to Information, 2004) include in their systems. From this informal experiment [14]A Mathes -Retrieved: Evaluating collaborative filtering recommender setting, the recommender system illustrated encouraging ystems ACM Transactions on Information Systems, (2004) results with an overall accuracy percentage up to 91.66%. [15]T. Budura,S. Michel, P. Cudre-Mauroux, and K. Aberer, "To Tag or Therefore, tagging created by users has a potential to be used Not to tag-Harvesting Adjacent Metadata in Large-Scale Tagging Systems, as a representative of the user profile and paper in a [16]A. Capocci and G. Caldarelli, "Folksonomies and Clust recommendation. However, the number of subjects is collaborative System CiteULike", eprint ar XiV: 0710.2835, 2007. considered to be small in the experiment. In order to confirm [17]w. Choochaiwattana, and M.B. Spring, "Applying Social Annotations to the findings, more subjects are needed in the experiments In the future, a more comprehensive formal evaluation will nference on Information management and Engineering(ICIME 2009) uala Lumpur, Malaysia 3-5 April 2009 be conducted according to the proposed framework. The 8]U. Farooq, C.H. Ganoe, J.M. Carroll, and C.L. Giles, distributed scientific collaboration ations fordesigning the CiteSeer approach to an improved research paper recommender system collaborator of the Hawaii Int'l Conferenc will be determined Sciences), IEEE Compute Society, Waikoloa, Hawaii, 3-6 January 2007, 26c. 19]U. oq, T.G. Kannampallil, Y. Song, C.H. Canoe nd C. Lee Giles, "Evalating Tagging Behavior in Social Bookmarkir ACKNOWLEDgMENT stems Metrics and design heuristie ACM conference The authors would like to thank Suan Sunandha rajah land,Florida,USA,4-7November 200,pp. work(GROUP"07)Sanibel University for scholarship support. The study is not possible 201J. Gelemter, "A Quantitative Analysis of Collaborative Tags:Evaluation without the data from CiteULike Networking, Applications and Worksh Collaborate Com 2007_, 12-15 Nov 2007, New York, NY. Pp 376-381 21]C L. Giles, K. Bollacker, and S. Lawrence, "CiteSeer: An Automatic REFERENCES Libraries, ACM Press, Pittsburg, Pennsylvania, 23-26 June 1998, pp 89 sital [1 CiteULike, Access on 1/08/2009 [Online).Available http://www.citeulike.org. 22]R. J'aschke, L. B Marinho, A. Hotho, L. Schmidt-Thieme, and G 2 S Lee Giles Lawrence, C Bollacker, K NEC Res. Inst and NJ. 200 Stumme, "Tag Recommendations in Folksonomies", In Proceedings of PKDD n, "Digital libraries and auton citation indexing, " in Conf. Rec. 2007, pp. 506-51 999 IEEE Int Conf. Computer Publication, pp 67-71 23 B. LI, and Q. Zhu, "The Determination of 3 Z. Wu, Y. Mao, and H. Chen,"Subontology-BasedResource Tagging System Based on SOM Model, Second Intemational Symposium on Knowled nent for Web-Based e-Leaming."in Conf. Rec. 1999 IEEE Int Conf. Intelligent Information Technology Application 2008(IITA08),20-22 Dec 2008, Shanghai,pp.909-913 4 M. Pinto, A. Fermandez-Ramos, and A.Doucet,"Measu 24]S. Noel, and R. Beale, "Sharing vocabularies: Tag Usage in mation Literacy Skills through Abstracting: Case Study CiteULike "Proceedings of the 22nd Annual Conference of Interaction Information Science Perspective, "in Conf Rec. 2008 research libraries, pp. 132-154 1-5 September 1=Ck2m包电 [5]DH na,“ Social Tags: fornia. USA. 26-3 October 2008 "A Standard Framework for Web Personalization, "in [26 J. Thom-Santelli, and M. J. Muller, Conf. Rec. 2008 Int. Conf College research libraries, pp. 132-154 Roles: Publishers, Evangelists, Leaders 1208.H50 7 M. C. Sievert and M. J. Andrews. ( 1991, Jan). Indexing Consistency in Information Science Abstracts. " Joumal of the American Society for0 20 40 60 80 100 user1 user2 user3 Accuracy Accuracy Figure3. Accuracy of recommender system V.CONCLUSION This paper presents a framework for the development of a research paper recommender system. The framework portrays the structural components and architecture for a research paper recommender system. The objective of this framework is to indicate what components and what modules they have to include in their systems. From this informal experiment setting, the recommender system illustrated encouraging results with an overall accuracy percentage up to 91.66%. Therefore, tagging created by users has a potential to be used as a representative of the user profile and paper in a recommendation. However, the number of subjects is considered to be small in the experiment. In order to confirm the findings, more subjects are needed in the experiments. In the future, a more comprehensive formal evaluation will be conducted according to the proposed framework. The approach to an improved research paper recommender system will be determined. ACKNOWLEDGMENT The authors would like to thank Suan Sunandha Rajabhat University for scholarship support. The study is not possible without the data from CiteULike. REFERENCES [1] CiteULike, Access on 1/08/2009 [Online]. Available: http://www.CiteULike.org. [2] S. Lee Giles Lawrence, C. Bollacker, K. NEC Res. Inst and NJ. Princeton, “Digital libraries and autonomous citation indexing,” in Conf. Rec. 1999 IEEE Int. Conf. Computer Publication, pp. 67–71. [3] Z. Wu, Y. Mao, and H. 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