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Making Mainstream Web Search Engines More Collaborative

  • Barry Smyth
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 101)

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.

Keywords

Search Engine Search Task Query Term Social Graph Search Engine Optimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Barry Smyth
    • 1
  1. 1.CLARITY - Centre for Sensor Web Technologies, School of Computer Science and InformaticsUniversity College DublinDublinIreland

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