skip to main content
10.1145/2166966.2167051acmconferencesArticle/Chapter ViewAbstractPublication PagesiuiConference Proceedingsconference-collections
short-paper

Graph based user modeling

Published: 14 February 2012 Publication History

Abstract

An overload in service applications and websites induced by ubiquitous connectivity has brought the need for personalization, as a way to cope with it. However, the need for providing every service with a user model calls for interoperable user models, since user details are scattered in many different systems (e.g., online services such as mail/banking/healthcare/ecommerce sites/social networks), each storing the user's details, preferences and history in different representations and data formats. Various approaches for user modeling interoperability were studied from different perspectives (general ontologies, personalized ontologies, mediation), but so far the challenges are yet to be met. This paper proposes a new way for representing user models, an abstracted graph based one, which will support both interoperability and advanced user modeling features.

References

[1]
Carmagnola, F., Cena, F., Gena, C.: User model interoperability: a survey. User Modeling and UserAdapted Interaction, 1--47 (2011).
[2]
Heckmann, D., Schwartz, T., Brandherm, B., Schmitz, M., Wilamowitz-Moellendorff, M.: Gumo - the general user model ontology. User modeling 2005, 428--432 (2005).
[3]
Berkovsky, S., Kuflik, T., Ricci, F.: Mediation of user models for enhanced personalization in recommender systems. User Modeling and User-Adapted Interaction 18(3), 245--286 (August 2008).
[4]
Kobsa, A.: Generic user modeling systems. User modeling and user-adapted interaction 11(1), 49--63 (2001).
[5]
Carr, B. P., Goldstein, I. P.: Overlays: A theory of modelling for computer aided instruction. (1977).
[6]
Aggarwal, C. C., Wolf, J. L., Wu, K. L., Yu, P. S.: Horting hatches an egg: A new graph-theoretic approach to collaborative filtering. In : ACM, pp.201--212 (1999).
[7]
Huang, Z., Chung, W., Chen, H.: A graph model for Ecommerce recommender systems. Journal of the American Society for information science and technology 55(3), 259--274 (2004).
[8]
Sowa, J. F.: Conceptual graphs summary. In : Ellis Horwood, pp.3--51 (1992).
[9]
Wikipedia: Graph Database. In: Wikipedia. (Accessed November 2011) Available at: http://en.wikipedia.org/wiki/Graph_database
[10]
Tiroshi, A., Kuflik, T., Kay, J., Kummerfeld, B.: Recommender Systems and the Social Web. Augmenting User Models with Real World Experiences to Enhance Personalization and Adaptation (AUM '11), UMAP 2011.

Index Terms

  1. Graph based user modeling

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    IUI '12: Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
    February 2012
    436 pages
    ISBN:9781450310482
    DOI:10.1145/2166966
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 February 2012

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. graphs
    2. personalization
    3. ubiquitous user modeling

    Qualifiers

    • Short-paper

    Conference

    IUI '12
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 746 of 2,811 submissions, 27%

    Upcoming Conference

    IUI '25

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 370
      Total Downloads
    • Downloads (Last 12 months)10
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 01 Mar 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media