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ePaper: A personalized mobile newspaper

Author

Listed:
  • Bracha Shapira
  • Peretz Shoval
  • Noam Tractinsky
  • Joachim Meyer

Abstract

This paper describes ePaper, a research prototype system of a personalized newspaper on a mobile reading device. The ePaper aggregates content (i.e., news items) from various news providers, classifies the news items according to concepts from a news domain ontology, and delivers an electronic newspaper to each subscribed user (reader). The system personalizes the content of the newspaper according to the user's profiles and preferences by applying ontological content‐based and collaborative filtering algorithms. The user's profile is updated implicitly and dynamically, based on the tracking of their reading. Beyond personalization, the ePaper can also provide the user with a “standard edition” of a selected newspaper, as well as browsing capabilities in a repository of news items. The layout of the newspaper is adapted to the specifications of the reading device and to the user's preferences. In this overview paper, we highlight the main research challenges involved in the development of ePaper and describe how we addressed them.

Suggested Citation

  • Bracha Shapira & Peretz Shoval & Noam Tractinsky & Joachim Meyer, 2009. "ePaper: A personalized mobile newspaper," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2333-2346, November.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:11:p:2333-2346
    DOI: 10.1002/asi.21172
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    Cited by:

    1. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.

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