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Collaborative web search: a robustness analysis
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Collaborative web search: a robustness analysis
Michael P. O’Mahony1 and Barry Smyth1 
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School of Computer Science and Informatics, University College Dublin, Dublin, Ireland |
Received: 14 January 2008 Accepted: 14 January 2008 Published online: 13 September 2008
Abstract Collaborative web search utilises past search histories in a community of like-minded users to improve the quality of search
results. Search results that have been selected by community members for past queries are promoted in response to similar
queries that occur in the future. The I-SPY system is one example of such a collaborative approach to search. As is the case
with all open systems, however, it is difficult to establish the integrity of those who access a system and thus the potential
for malicious attack exists. In this paper we investigate the robustness of the I-SPY system to attack. In particular, we
consider attack scenarios whereby malicious agents seek to promote particular result pages within a community. In addition,
we analyse robustness in the context of community homogeneity, and we show that this key characteristic of communities has
implications for system robustness.
Keywords Collaborative web search - Personalisation - Malicious attack - Robustness
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