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Towards a Novel and Timely Search and Discovery System Using the Real-Time Social Web

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Author(s)
Phelan, Owen 
McCarthy, Kevin 
Smyth, Barry 
Uri
http://hdl.handle.net/10197/9953
Date Issued
06 April 2013
Date Available
15T11:13:00Z April 2019
Abstract
The world of web search is changing. Mainstream search engines like Google and Bing are adding social signals to conventional query-based services while social networks like Twitter and Facebook are adding query-based search to sharing-based services. Our search and discovery system, Yokie, harnesses the wisdom of the crowd of communities of Twitter users to create indexes of proto-content (or recently shared content) that is typically not yet indexed by mainstream search engines. The system includes an architecture [13] for a range of contextual queries and ranking strategies beyond standard relevance. In this paper, we focus on evaluating Yokies ability to retrieve timely, relevant and exclusive results with which users interacted and found useful, compared to other standard web services.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Start Page
746
End Page
757
Series
Lecture Notes in Computer Science
Copyright (Published Version)
2013 Springer-Verlag Berlin Heidelberg
Keywords
  • Discovery service

  • Discovery system

  • Twitter user

  • Ranking strategy

  • Social graph

DOI
10.1007/978-3-642-37401-2_72
Language
English
Status of Item
Peer reviewed
Part of
Lecture Notes in Computer Science book series (LNCS, volume 7808)
ISBN
978-3-642-37400-5
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Insight Research Collection
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Mar 30, 2023
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