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Browsing by Author "Coyle, Maurice"

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The altruistic searcher

Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (IEEE Computer Society, 2009-08)

Recently researchers have argued that the prevailing view of Web search, as a solitary activity, is flawed: that, in reality, Web search can be an inherently collaborative task. In this paper we describe and evaluate an ...
The case-based experience web

Smyth, Barry ; Champin, Pierre-Antoine ; Briggs, Peter ; Coyle, Maurice (2009-07)

With the rise of user-generated content (blogs, wikis, ratings, reviews, opinions etc.) the web is evolving from a repository of content into a repository of experiences, and as it evolves there are many opportunities to ...
A case-based perspective on social web search

Smyth, Barry ; Briggs, Peter ; Coyle, Maurice ; O'Mahony, Michael P. (Springer, 2009-07)

Web search is the main way for millions of users to access information every day, but we continue to struggle when it comes to finding the right information at the right time. In this paper we build on recent work to ...
A Case Study of Collaboration and Reputation in Social Web Search.

McNally, Kevin ; O'Mahony, Michael P. ; Coyle, Maurice ; Briggs, Peter ; Smyth, Barry (ACM, 2011-10)

Although collaborative searching is not supported by mainstream search engines, recent research has high- lighted the inherently collaborative nature of many web search tasks. In this paper, we describe HeyStaks ...
Collaboration and reputation in social web search

McNally, Kevin ; O'Mahony, Michael P. ; Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (2010-09)

Recent research has highlighted the inherently collaborative nature of many Web search tasks, even though collaborative searching is not supported by mainstream search engines. In this paper, we examine the activity of ...
Coping with noisy search experiences

Champin, Pierre-Antoine ; Briggs, Peter ; Coyle, Maurice ; Smyth, Barry (Elsevier, 2010-05)

The so-called Social Web has helped to change the very nature of the Internet by emphasising the role of our online experiences as new forms of content and service knowledge. In this paper we describe an approach to improving ...
Demonstrating social search a la HeyStaks

Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (2009-10)

For all the success of mainstream search engines there are a number of opportunities for improving on the conventional Web search user experience. In this short paper we consider the default assumption that search is ...
Google shared. A case study in social search

Briggs, Peter ; Coyle, Maurice ; O'Mahony, Michael P. (Springer, 2009-07-10)

Web search is the dominant form of information access and everyday millions of searches are handled by mainstream search engines, but users still struggle to find what they are looking for, and there is much room for ...
Recognising and recommending context in social web search

Saaya, Zurina ; Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (Springer, 2011-07-11)

In this paper we focus on an approach to social search, HeyStaks that is designed to integrate with mainstream search engines such as Google, Yahoo and Bing. HeyStaks is motivated by the idea that Web search is an inherently ...
Recognising and Recommending Context in Social Web Search

Saaya, Zurina ; Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (Springer, 2011-06-28)

In this paper we focus on an approach to social search, HeyStaks that is designed to integrate with mainstream search engines such as Google, Yahoo and Bing. HeyStaks is motivated by the idea that Web search is an ...
Recommending case bases : applications in social web search

Saaya, Zurina ; Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (Springer, 2011-09-15)

For the main part, when it comes to questions of retrieval, the focus of CBR research has been on the retrieval of cases from a repository of experience knowledge or case base. In this paper we consider a complementary ...
Recommending search experiences

Saaya, Zurina ; Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (Intelligent Systems Research Centre, 2011-08-31)

In this paper we focus on a multi-case case-based reasoning system to support users during collaborative search tasks. In particular we describe how repositories of search experiences/knowledge can be recommended to users ...
Remote asynchronous collaborative web search : a community-based approach

Smyth, Barry ; Coyle, Maurice (2009-05)

Recently researchers have argued that the prevailing view of web search, as a solitary activity, is flawed: that, in reality, web search is often an inherently collaborative task. In this paper we describe and evaluate an ...
Social and collaborative web search : an evaluation study

McNally, Kevin ; O'Mahony, Michael P. ; Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (ACM, 2011-02-16)

In this paper we describe the results of a live-user study to demonstrate the benefits of using the social search utility HeyStaks, a novel approach to Web search that combines ideas from personalization and social networking ...
Social information access for the rest of us : an exploration of social YouTube

Coyle, Maurice ; Freyne, Jill ; Brusilovsky, Peter ; Smyth, Barry (Springer, 2008)

The motivation behind many Information Retrieval systems is to identify and present relevant information to people given their current goals and needs. Learning about user preferences and access patterns recent technologies ...
Towards a reputation-based model of social web search

McNally, Kevin ; O'Mahony, Michael P. ; Smyth, Barry ; Coyle, Maurice ; Briggs, Peter (Association for Computing Machinery, 2010-02-07)

While web search tasks are often inherently collaborative in nature, many search engines do not explicitly support collaboration during search. In this paper, we describe HeyStaks (www.heystaks.com), a system that provides ...
(Web Search) shared : social aspects of a collaborative, community-based search network

Coyle, Maurice ; Smyth, Barry (Springer, 2008)

Collaborative Web search (CWS) is a community-based approach to Web search that supports the sharing of past result selections among a group of related searchers so as to personalize result-lists to reflect the preferences ...