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Making Mainstream Web Search Engines More Collaborative

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Web Information Systems and Technologies (WEBIST 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 101))

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Abstract

Web search engines are perhaps the killer app of the modern internet age by providing users with near instant access to the world’s information. The success of modern web search engines is due in large part to the ability to handle web-scale information retrieval and also by the sophistication of their algorithmic ranking systems, which combine a variety of measures in order to determine page relevance when it comes to a specific search query. And by and large the heart of web search has remained stable over the past 10 years. However, today researchers are exploring a new approach to supporting web search, once the complements algorithmic ranking techniques by harnessing social signals and supporting a more collaborative view of web search. In this paper we motivate and review recent work in this line of research, including an in-depth case-study of the HeyStaks collaborative search platform.

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Authors and Affiliations

  1. CLARITY - Centre for Sensor Web Technologies, School of Computer Science and Informatics, University College Dublin, Dublin, Ireland

    Barry Smyth

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  1. Barry Smyth
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Editors and Affiliations

  1. Department of Systems and Informatics, Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and, Instituto Politécnico de Setúbal (IPS), Rua do Vale de Chaves, Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe  & José Cordeiro  & 

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Smyth, B. (2012). Making Mainstream Web Search Engines More Collaborative. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2011. Lecture Notes in Business Information Processing, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28082-5_2

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  • DOI: https://doi.org/10.1007/978-3-642-28082-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28081-8

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