Now showing items 1-10 of 35
Modelling User Behaviour in Online Q&A Communities for Customer Support
[no abstract available]
Characterising and evaluating online communities from live microblogging user interactions
(NUI Galway, 2018-07-03)
Microblogging (mainly represented by Twitter) is a type of social media that focuses on fast open real-time communication using short messages between users and their followers. This system is attractive due to its open ...
Using social media data for online television recommendation services at RTÉ Ireland
Raidió Teilifís Éireann (RTÉ) is the public service television and radio broadcaster in Ireland. Through on demand video services, RTÉ allows their users to catch up on television broadcasts via the RTÉ Player. The company ...
Targeting online communities to maximise information diffusion
(Association for Computing Machinery, 2012-04)
In recent years, many companies have started to utilise online social communities as a means of communicating with and targeting their employees and customers. Such online communities include discussion fora which are ...
XPLODIV: An exploitation-exploration aware diversification approach for Recommender Systems
(AAAI Press, 2015-07)
Recommender Systems (RS) have emerged to guide users in the task of efficiently browsing/exploring a large product space, helping users to quickly identify interesting products. However, suggestions generated with traditional ...
On the correlation between topic and user behaviour in online communities
In the advancement of a better understanding of user behaviour on the Internet, clustering approaches are used as a means to group and categorise online communities. Although clustering approaches indicate similarity between ...
Tell me who are your friends, and I’ll tell you who you are
(AICS 2016, 2016-09-20)
Mentions of politicians in news articles can reflect politician interactions on their daily activities. In this work, we present a mathematical model to represent such interactions as a graph, and we use it to predict the ...
Separating the wheat from the chaff: Evaluating success determinants for online Q&A communities
(NUI Galway, 2017-05-15)
Researchers and community managers try to measure the success of online communities using a variety of success determinants, such as member activity, turnover and interaction. Although many success determinants have been ...
Enabling case-based reasoning on the web of data
While Case-based reasoning (CBR) has successfully been deployed on the Web, its data models are typically inconsistent with existing information infrastructure and standards. In this paper, we examine how CBR can operate ...
The role of negative results for choosing an evaluation approach - a recommender systems case study
(CEUR Workshop Proceedings, 2015-06-01)
We describe a case study, which shows how important negative results are in uncovering biased evaluation methodologies. Our re- search question is how to compare a recommender algorithm that uses an RDF graph to a ...