Abstract
Users’ personal citation collections reflect users’ interests and thus offer great potential for personalized digital services. We studied 18,120 citations in the personal collections of 96 users of RefWorks citation management system to understand these in terms of their resolvability i.e. how well these citations can be resolved to a unique identifier and to their online sources. While fewer than 4% of citations to articles in Journals and Conferences included a DOI, we were able to increase this resolvability to 50% by using a citation resolver. A much greater percentage of book citations included an ISBN (53%), but using an online resolver found ISBNs for an additional 20% of the book citations. Considering all citation types, we were able to resolve approximately 47% of all citations to either an online source or a unique identifier.
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References
McNee, S., Albert, I., Cosley, D., Gopalkrishnan, P., Lam, S.K., Rashid, A.M., Konstan, J.A., Riedl, J.: On the Recommending of Citations for Research Papers. In: CSCW 2002. Proceedings of ACM 2002 Conference on Computer Supported Cooperative Work, New Orleans, LA, pp. 116–125 (2002)
Rocha, L.M.: TalkMine: a soft computing approach to adaptive knowledge recommendation. In: Loia, V., Sessa, S. (eds.) Soft Computing Agents: New Trends For Designing Autonomous Systems, Springer Studies In Fuzziness And Soft Computing, pp. 89–116. Physica-Verlag GmbH, Heidelberg (2002)
Resnick, P., Varian, H.R.: Recommender systems. Commun. ACM 40(3), 56–58 (1997)
Torres, R., McNee, S.M., Abel, M., Konstan, J.A., Riedl, J.: Enhancing digital libraries with TechLens+. In: JCDL 2004. Proceedings of the 4th ACM/IEEE-CS Joint Conference on Digital Libraries, Tuscon, AZ, USA, June 07 - 11, 2004, pp. 228–236. ACM Press, New York (2004)
Middleton, S.E., Shadbolt, N.R., De Roure, D.C.: Ontological user profiling in recommender systems. ACM Trans. Inf. Syst. 22(1), 54–88 (2004)
Houstis, E.N., Catlin, A.C., Rice, J.R., Verykios, V.S., Ramakrishnan, N., Houstis, C.E.: PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software. ACM Trans. Math. Softw. 26(2), 227–253 (2000)
Geisler, G., McArthur, D., Giersch, S.: Developing recommendation services for a digital library with uncertain and changing data. In: Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries, Roanoke, Virginia, United States, pp. 199–200 (January 2001)
Geyer-Schulz, A., Neumann, A., Thede, A.: Others Also Use: A Robust Recommender System for Scientific Libraries. In: Koch, T., Sølvberg, I.T. (eds.) ECDL 2003. LNCS, vol. 2769, pp. 113–125. Springer, Heidelberg (2003)
Renda, M.E., Straccia, U.: A personalized collaborative digital library environment: a model and an application. Inf. Process. Manage 41(1), 5–21 (2005)
Konstan, J.A., Kapoor, N., McNee, S.M., Butler, J.T.: TechLens: Exploring the Use of Recommenders to Support Users of Digital Libraries. CNI Fall Task Force Meeting Project Briefing. Coalition for Networked Information. Phoenix, AZ (2005)
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Kapoor, N., Butler, J.T., McNee, S.M., Fouty, G.C., Stemper, J.A., Konstan, J.A. (2007). A Study of Citations in Users’ Online Personal Collections. In: Kovács, L., Fuhr, N., Meghini, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2007. Lecture Notes in Computer Science, vol 4675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74851-9_34
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DOI: https://doi.org/10.1007/978-3-540-74851-9_34
Publisher Name: Springer, Berlin, Heidelberg
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