Now showing items 1-10 of 319
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 ...
Identifying equivalent relation paths in knowledge graphs
(Springer Verlag, 2017-06-19)
Relation paths are sequences of relations with inverse that allow for complete exploration of knowledge graphs in a two-way unconstrained manner. They are powerful enough to encode complex relationships between entities ...
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 ...
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 ...
Social sentiment indices powered by X-scores
(INSIGHT Centre for Data Analytics, NUI Galway, Ireland, 2016-05)
Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social ...
Regularizing knowledge graph embeddings via equivalence and inversion axioms
(Springer Verlag, 2017-12-30)
Learning embeddings of entities and relations using neural architectures is an effective method of performing statistical learning on large-scale relational data, such as knowledge graphs. In this paper, we consider the ...
SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)
(Insight Centre for Data Analytics, 2016-06-16)
This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organised as part of SemEval 2016. This task aims to extract hypernym-hyponym relations between a given list of domain-specific ...