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

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Title: Towards a Novel and Timely Search and Discovery System Using the Real-Time Social Web
Authors: Phelan, Owen
McCarthy, Kevin
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/9953
Date: 6-Apr-2013
Online since: 2019-04-15T11:13:00Z
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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Start page: 746
End page: 757
Series/Report no.: Lecture Notes in Computer Science
Copyright (published version): 2013 Springer-Verlag Berlin Heidelberg
Keywords: Discovery serviceDiscovery systemTwitter userRanking strategySocial graph
DOI: 10.1007/978-3-642-37401-2_72
Language: en
Status of Item: Peer reviewed
Is part of: Lecture Notes in Computer Science book series (LNCS, volume 7808)
ISBN: 978-3-642-37400-5
Appears in Collections:Insight Research Collection

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