Browsing by Author "Hayes, Conor"

Now showing items 1-20 of 48

    • Advances in Understanding, Mining, and Using People-Tags 

      Nasirifard, Peyman (2012-05-31)
      People-tagging involves the process of adding non-hierarchical metadata to users of a system. Such metadata facilitates organising contacts and building user profiles in a collaborative fashion. People-tag-based user ...

    • Architecture of Linked Data Applications 

      Heitmann, Benjamin; Cyganiak, Richard; Hayes, Conor; Decker, Stefan (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 ...

    • BEARS: Towards an evaluation framework for bandit-based interactive recommender systems 

      Barraza-Urbina, Andrea; Koutrika, Georgia; d'Aquin, Mathieu,; Hayes, Conor (NUI Galway, 2018-10-06)
      Recommender Systems (RS) deployed in fast-paced dynamic scenarios must quickly learn to adapt in response to user evaluative feedback. In these settings, the RS faces an online learning problem where each decision should ...

    • Characterising and evaluating online communities from live microblogging user interactions 

      Hromic, Hugo; Hayes, Conor (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 ...

    • Churn in Social Networks 

      Karnstedt, Marcel; Hennessy, Tara; Chan, Jeffrey; Basuchowdhuri, Partha; Hayes, Conor (Springer, 2010)
      Telcom networks, online gaming communities, online communities and discussion forums all have one thing in common: they all can be represented by a network of the social links between people. The links in this social network ...

    • Constructing Twitter Datasets using Signals for Event Detection Evaluation 

      Hromic, Hugo; Hayes, Conor (22nd International Conference on Case-Based Reasoning, 2014-09-29)
      Twitter is a very attractive real-time platform for research on event detection. However, despite the great amount of interest, datasets suitable for evaluating such methods are not easily available. The two most important ...

    • Decomposing Discussion Forums using User Roles 

      Chan, Jeffrey; Hayes, Conor (http://www.websci10.org, 2010)
      Discussion forums are a central part of Web 2.0 and Enterprise 2.0 infrastructures. The health and sustainability of forums is dependent on the information exchange behaviour of its members. Such behaviour needs to be ...

    • Detecting bot behaviour in social media using digital DNA compression 

      Pasricha, Nivranshu; Hayes, Conor (AICS (Artificial Intelligence and Cognitive Science) 2019, 2019-12-05)
      A major challenge faced by online social networks such as Facebook and Twitter is the remarkable rise of fake and automated bot accounts over the last few years. Some of these accounts have been reported to engage in ...

    • Diffusion-based models for semantic relatedness 

      Torres-Tramón, Pablo (NUI Galway, 2020-05-14)
      The assessment of semantic relatedness for a given pair of entities in a knowledge graph has become a critical step in a wide variety of artificial intelligence tasks, including but not restricted to fields such as machine ...

    • An Eigenvalue-Based Measure for Word-Sense Disambiguation 

      Hulpus, Ioana; Hayes, Conor; Greene, Derek (FLAIRS 2012, 2012)
      Current approaches for word-sense disambiguation (WSD) try to relate the senses of the target words by optimizing a score for each sense in the context of all other words' senses. However, by scoring each sense separately, ...

    • Enabling case-based reasoning on the web of data 

      Heitmann, Benjamin; Hayes, Conor (2010-07-20)
      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 ...

    • Event Analysis in Social Media Using Clustering of Heterogeneous Information Networks 

      Prangnawarat, Narumol; Hulpus, Ioana; Hayes, Conor (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 ...

    • Extracting and Utilizing Social Networks from Log Files of Shared Workspaces 

      Nasirifard, Peyman; Peristeras, Vassilios; Hayes, Conor; Decker, Stefan (Springer, 2009)
      Log files of online shared workspaces contain rich information that can be further analyzed. In this paper, log-file information is used to extract object-centric and user-centric social networks. The object-centric social ...

    • A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning 

      Hulpus, Ioana; Hayes, Conor (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 ...

    • Kanopy: Analysing the Semantic Network around Document Topics 

      Hulpus, Ioana; Hayes, Conor; Karnstedt, Marcel; Greene, Derek; Jozwowicz, Marek (Springer, 2013)
      External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes ...

    • Life-cycles and mutual e_ects of scientific communities 

      Beĺak, V́aclav; Karnstedt, Marcel; Hayes, Conor (Elsevier BV, 2011-01-01)

    • Life-cycles and mutual effects of scientific communities 

      Belák, Václav; Karnstedt, Marcel; Hayes, Conor (ASNA, 2011)
      Cross-community effects on the behaviour of individuals and communities themselves can be observed in a wide range of applications. While previous work has tried to explain and analyse such phenomena, there is still a great ...

    • Methods for defining dynamic online communities and community detection in fast-paced social media streams 

      Hromic, Hugo (NUI Galway, 2019-05-02)
      Microblogging social media focuses on fast open real-time communication using short messages between users and their followers. Twitter is currently one of the largest and widely known microblogging OSN in the world, with ...

    • Modelling User Behaviour in Online Q&A Communities for Customer Support 

      Aumayr, Erik; Hayes, Conor (Springer, 2014)
      [no abstract available]

    • On the correlation between topic and user behaviour in online communities 

      Aumayr, Erik; Hayes, Conor (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 ...