Abstract
Web search is the dominant form of information access and everyday millions of searches are handled by mainstream search engines, but users still struggle to find what they are looking for, and there is much room for improvement. In this paper we describe a novel and practical approach to Web search that combines ideas from personalization and social networking to provide a more collaborative search experience. We described how this has been delivered by complementing, rather than competing with, mainstream search engines, which offers considerable business potential in a Google-dominated search marketplace.
This work is supported by Science Foundation Ireland under grant 07/CE/I1147.
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Smyth, B., Briggs, P., Coyle, M., O’Mahony, M. (2009). Google Shared. A Case-Study in Social Search. In: Houben, GJ., McCalla, G., Pianesi, F., Zancanaro, M. (eds) User Modeling, Adaptation, and Personalization. UMAP 2009. Lecture Notes in Computer Science, vol 5535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02247-0_27
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DOI: https://doi.org/10.1007/978-3-642-02247-0_27
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