Effective personalization of push-type systems — visualizing information freshness

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Abstract

This paper discusses an effective personalization method, especially on push-type systems. Many conventional personalization systems rely strictly on personal interests during information presentation, but the “freshness” of information is often as important as the relation to personal preferences. For example, a user who accesses a WWW newspaper several times a day, expects to see fresh articles displayed in prominent positions rather than “hidden” among articles that may be more relevant but that have already been read. This paper therefore presents a novel personalization method incorporating “information freshness” and that is extremely useful for the ever-growing number of push-type systems. Information freshness is indicated by using a perspective representation which shows virtual depth on the screen: fresh articles seem “closer” to the user, while old articles seem farther away. This representation allows us to simultaneously display both the personal relevance and the freshness of the information. We have successfully implemented two applications using this technique: a personalized newspaper service and an easy-to-use scrapbook for Web pages.

References (9)

  • T. Kamba et al.

    ANATAGONOMY: a personalized newspaper on the WWW

    International Journal of Human-Computer Studies

    (1997)
  • H. Sakagami et al.

    Learning personal preferences on online newspaper articles from use behaviors

  • A. Nakamura et al.

    Learning personal preference functions using boolean-variable real-valued multivariate polynomials

  • J. Preece
There are more references available in the full text version of this article.

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