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Advisor(s)
Abstract(s)
In public display systems determine what to present
and when is a central feature. Although several adaptive
scheduling alternatives have been explored, which introduce
sensibility of the display to some type of external variable, they
are still very dependent on the user in their behavior, content
specific in their nature and very rigid in their adaptation to
their social environment, not providing visitors of the place
with appropriate, rich and personalized information according
to their interests and expectations. There is a need for solutions
that successfully integrate the wealth of dynamic web sources
as providers for situated and updated content with social and
contextual environment around the display so as to present the
most appropriate content at every moment, and thus
improving the utility of the system. In this paper, we present a
recommender system for public situated displays that is able to
autonomously select relevant content from Internet sources
using a keyword-based place model as input. Based on external
relevance criteria the system finds and pre-selects only those
sources that are more relevant, and an adaptive scheduling
algorithm continuously select content that are relevant, timely,
in accordance with the place model, sensitive to immediate
indications of interest and balanced to serve the broad range of
interests of the target population. To evaluate this system we
have carried out two partial experiments. The results showed
that keyword-based shared place models jointly with content
specific relevance models are a simple and valid approach to
user-generated content for public displays.
Description
“Copyright © [2010] IEEE. Reprinted from 4th International Conference on Complex, Intelligent and Software Intensive Systems. ISBN:978-1-4244-5917-9. This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.”
Keywords
Public displays Situated displays Intelligent environments Information integration Social information systems Web information filtering and retrieval Ubicomp
Pedagogical Context
Citation
RIBEIRO, F. Reinaldo; JOSÉ, Rui - Timely and keyword-based dynamic content selection for public displays. In International Conference on Complex, Intelligent and Software Intensive Systems, 4, Cracóvia, 15-18 Fevereiro. Cracóvia: IEEE, 2010. p. 655-660.
