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Using social media data for online television recommendation services at RTÉ Ireland
(2015-09)
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 ...
Using social media for online television adaptation services at RTÉ Ireland
(Insight Centre for Data Analytics, National University of Ireland, Galway, 2016)
RTÉ (Raidió Teilifís Éireann) is the national provider of Television (TV) and radio in Ireland. RTÉ broadcasts its content online through the RTÉ Player and provides services to interact with its users using social media, ...
Modelling User Behaviour in Online Q&A Communities for Customer Support
(Springer, 2014)
[no abstract available]
On the correlation between topic and user behaviour in online communities
(ICWSM-16, 2016-05-20)
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 ...
Event Analysis in Social Media Using Clustering of Heterogeneous Information Networks
(The 28th International FLAIRS Conference (AAAI Publications) (AAAI), 2015)
In this paper, we propose a novel approach for social media event finding in order to support fast access to information that users find relevant. While there are many approaches related to this problem, they mainly focus ...
Architecture of Linked Data Applications
(CRC Press (Taylor & Francis), 2014)
In this chapter, we first perform an empirical survey of RDF-based applications over most of the past decade, from 2003 to 2009. As the Linked Data principles where introduced in 2006, this allows us to describe the current ...
Path-based semantic relatedness on linked data and its use to word and entity disambiguation
(2015)
Semantic relatedness and disambiguation are fundamental
problems for linking text documents to the Web of Data. There are
many approaches dealing with both problems but most of them rely on
word or concept distribution ...
SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge
(Springer, 2014-10-14)
SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality ...
Unsupervised Graph-Based Topic Labelling using DBpedia
(2013)
Automated topic labelling brings benefits for users aiming at analysing and understanding document collections, as well as for search engines targetting at the linkage between groups of words and their inherent topics. ...
A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning
(Springer, 2014)
Personalised recommender systems receive growing attention from researchers of technology enhanced learning. The learning domain has a great need for personalisation as there is a general consensus that instructional ...