Abstract
We show how personalization techniques can be exploited to implement more adaptive and effective information access systems in electronic publishing. We distinguish persistent (or long term) and ephemeral (or short term) personalization, and we describe how both of them can be profitably applied in information filtering and retrieval systems used, via a specialized Web portal, by physicists in their daily job. By means of several experimental results, we demonstrate that persistent personalization is needed and useful for information filtering systems, and ephemeral personalization leads to more effective and usable information retrieval systems.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
F.A. Asnicar, M. Di Fant, C. Tasso, User Model-Based Information Filtering, in M. Lenzerini ed. AI*IA 97: Advances in Artificial Intelligence — Proc. of the 5th Congress of AI*IA, LNAI 1321, Springer, Berlin, D, 1997, 242–253.
R. Baeza-Yates, B. Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley, New York, NY, USA, 1999.
C.W. Bailey, Jr., Scholarly electronic publishing bibliography-Version 40: 12/12/01, http://info.lib.uh.edu/sepb/sepb.html, visited 5/1/02.
N.J. Belkin, Helping People Find What They Don’t Know, Comm. of the ACM 43(8), 2000, 59–61.
N. Belkin, C. Cool, D. Kelly, S.-J. Lin, S.Y. Park, J. Perez-Carballo, C. Sikora, Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval, Information Processing and Management 37(3), 2001, 403–434.
N. Belkin, C. Cool, A. Stein, U. Thiel, Cases, scripts, and information-seeking strategies: On the design of interactive information retrieval systems, Expert Systems with Applications 9(3), 1995, 379–395.
D. Billsus, M.J. Pazzani, User Modeling for Adaptive News Access, User Modeling and User-Adapted Interaction Journal 10(2-3), 2000, 147–180.
G. Brajnik, S. Mizzaro, C. Tasso, Evaluating User Interfaces to Information Retrieval Systems: a Case Study on User Support, Proc. of the 19th Annual International ACM SIGIR Conference, Zurich, CH, 1996, 128–136.
G. Brajnik, S. Mizzaro, C. Tasso, F. Venuti. Strategic help in user interfaces for information retrieval, J. of the Am. Soc. for Information Science and Technology, 2002, in press.
G. Brajnik, C. Tasso, A shell for developing non-monotonic user modeling systems, International Journal Human-Computer Studies 40, 1994, 31–62.
C. Brown, The E-volution of Preprints in the Scholarly Communication of Physicists and Astronomers, J. of the Am. Soc. for Information Science and Technology 52(3), 2001, 187–200.
W.B. Croft, S. Cronen-Townsend, V. Lavrenko, Relevance Feedback and Personalization: A Language Modeling Perspective, DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries, 2001, www.ercim.org/publication/ws-proceedings/DelNoe02/.
E.N. Efthimiadis, Query expansion, Annual Review of Information Science and Technology (ARIST), M. E. Williams ed., vol. 31, 1996, 121–187.
U. Hanani, B. Shapira, P. Shoval, Information Filtering: Overview of Issues, Research and Systems, User Modeling and User-Adapted Interaction 11(3), 2001, 203–259.
S.P. Harter, Scholarly communication and electronic journals: An impact study. J. of the Am. Soc. for Information Science 1998, 49(6), 507–516.
P. Ingwersen, Information Retrieval Interaction, Taylor Graham, London, UK, 1992.
A. Jameson, C. Paris, C. Tasso eds., User Modeling — Proc. of the 6th Intl. Conference UM97, Springer-Verlag, Wien New York, 1997.
T. Malone, K. Grant, F. Turbak, S. Brobst, M. Cohen, Intelligent information sharing systems, Comm. of the ACM 43(8), 1987, 390–402.
R. Mandala, T. Tokunaga, H. Tanaka, Query expansion using heterogeneous thesauri, Information Processing & Management 36, 2000, 361–378.
M. Minio, C. Tasso, User Modeling for Information Filtering on Internet Services: Exploiting an Extended Version of the UMT Shell, UM96 Workshop on User Modeling for Information Filtering on the World Wide WEB, Kailua-Kona, Hawaii, USA, January 1996.
S. Mizzaro & P. Zandegiacomo Rizió. An automatically refereed scholarly electronic journal: Formal specifications. Informatica-An International Journal of Computing and Informatics 24(4), 2000, 431–438.
C. Tasso, M. Armellini, Exploiting User Modeling Techniques in Integrated Information Services: The TECHFINDER System, in E. Lamma and P. Mello eds., Proc. of the 6th Congress of the Italian Association for Artificial Intelligence, Pitagora Editrice, Bologna, I, 1999, 519–522.
C. Tasso, P. Omero, La personalizzazione dei contenuti Web: e-commerce, i-access, e-government, Franco Angeli, Milano, I, 2002.
Y. Y. Yao, Measuring retrieval effectiveness based on user preference of documents, J. of the Am. Soc. for Information Science 46(2), 1995, 133–145.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mizzaro, S., Tasso, C. (2002). Ephemeral and Persistent Personalization in Adaptive Information Access to Scholarly Publications on the Web. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2002. Lecture Notes in Computer Science, vol 2347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47952-X_32
Download citation
DOI: https://doi.org/10.1007/3-540-47952-X_32
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43737-6
Online ISBN: 978-3-540-47952-9
eBook Packages: Springer Book Archive