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The Do-I-Care Agent: Effective Social Discovery and Filtering on the Web

Summary: 1
The Do-I-Care Agent: Effective Social Discovery and
Filtering on the Web
Mark S. Ackerman1
Brian Starr
Michael Pazzani
Information and Computer Science
University of California, Irvine
{ackerman, bstarr, pazzani}@ics.uci.edu
The Web is a vast, dynamic source of information and resources. Because of its size and diversity, it is increasingly likely
that if the information one seeks is not already there, it will be soon. Unfortunately, finding the right places to look, and
persistently revisiting those places until the information is available is an onerous task. In this paper, we describe Do-I-Care
(DICA), an agent that uses both technical and social mechanisms to ease the burden of locating "interesting" new information
and resources on the Web.
DICA monitors Web pages previously found by the agent's user to be relevant for any changes. It then compares these
changes against a user model, classifies them as potentially interesting or not, and reports the interesting changes to the user.
The user model is derived by accepting relevance feedback on changes previously found. Because the agent focuses on changes
to known pages rather than discovering new pages, we increase the likelihood that the information found will be interesting.
DICA combines an effortless collaboration mechanism with the natural incentives for individual users to maintain and


Source: Ackerman, Mark S. - Department of Electrical Engineering and Computer Science & School of Information, University of Michigan


Collections: Computer Technologies and Information Sciences