Marisa S. Viveros

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We describe a personalized recommender system designed to suggest new products to supermarket shoppers. The recommender functions in a pervasive computing environment, namely, a remote shopping system in which supermarket customers use Personal Digital Assistants (PDAs) to compose and transmit their orders to the store, which assembles them for subsequent(More)
This paper addresses the effectiveness of two data mining techniques in analyzing and retrieving unknown behavior patterns from gigabytes of data collected in the health insurance industry. Specifically, an episode (claims) database for pathology services and a general practitioners database were used. Association rules were applied to the episode database;(More)
Jennifer Lai, Anthony Levas, Paul Chou, Claudio Pinhanez, Marisa Viveros IBM T.J. Watson Research Center, 19 Skyline Drive, Hawthorne, NY, 10532 jlai, levas, pchou, pinhanez, viveros@us.ibm.com This paper reports on research in workplace issues encountered by knowledge workers in cubicle environments, and on BlueSpace, a prototype workspace with the goal of(More)
This paper provides a snapshot of the BlueSpace project at the IBM T. J. Watson Research Center. The goal of BlueSpace is to research the issues associated with next-generation workspaces in which integrated electronic transducers, displays and network appliances are used to augment personalization and context awareness. Toward this goal, we have(More)
The advent of mobile devices and the wireless Internet is having a profound impact on the way people communicate, as well as on the user interaction paradigms used to access information that was traditionally accessible only through visual interfaces. Applications for mobile devices entail the integration of various data sources optimized for delivery to(More)
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