Towards a Novel and Timely Search and Discovery System Using the Real-Time Social Web
|Title:||Towards a Novel and Timely Search and Discovery System Using the Real-Time Social Web||Authors:||Phelan, Owen
|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  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 service; Discovery system; Twitter user; Ranking strategy; Social 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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