caa a22 4500 463207122 CHVBK 20180405153129.0 cr unu---uuuuu 170326e20070601xx s 000 0 eng 10.1007/s10462-008-9075-4 doi (NATIONALLICENCE)springer-10.1007/s10462-008-9075-4 Collaborative web search: a robustness analysis [Elektronische Daten] [Michael O'Mahony, Barry Smyth] 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. Springer Science+Business Media B.V., 2008 Collaborative web search nationallicence Personalisation nationallicence Malicious attack nationallicence Robustness nationallicence O'Mahony Michael School of Computer Science and Informatics, University College Dublin, Dublin, Ireland aut Smyth Barry School of Computer Science and Informatics, University College Dublin, Dublin, Ireland aut Artificial Intelligence Review Springer Netherlands 28/1(2007-06-01), 69-86 0269-2821 28:1<69 2007 28 10462 https://doi.org/10.1007/s10462-008-9075-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-008-9075-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- O'Mahony Michael School of Computer Science and Informatics, University College Dublin, Dublin, Ireland aut NATIONALLICENCE 700 1- Smyth Barry School of Computer Science and Informatics, University College Dublin, Dublin, Ireland aut NATIONALLICENCE 773 0- Artificial Intelligence Review Springer Netherlands 28/1(2007-06-01), 69-86 0269-2821 28:1<69 2007 28 10462 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer