Visualizing Reputation and Recommendation in Scientific Literature (2003)
BibTeX
@MISC{Pu03visualizingreputation,
author = {Pearl Pu and Punit Gupta},
title = {Visualizing Reputation and Recommendation in Scientific Literature},
year = {2003}
}
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Abstract
In this paper, we investigate the architecture for visual social navigation systems, especially those used in scientific literature. We identify the requirements for effective visualization of reputation and recommendation, two notions that underlie most social navigation systems. We present several designs of visual emphasis techniques addressing the dimension and scales of reputation, and two sets of icons for effectively distinguishing recommended items. The results of two user studies are then discussed, which provided validation for our non-linear emphasis methods to represent reputation, and for choosing optimal icons for recommended items. Based on these findings, we present a re-design for the NEC Research Institute ResearchIndex (Citeseer), a concrete case of reputation based recommendation system.
