Browsing Data Science Institute by Author "Hayes, Conor"

Now showing items 21-39 of 39

    • Predicting citations from mainstream news, weblogs and discussion forum 

      Timilsina, Mohan; Davis, Brian; Taylor, Mike; Hayes, Conor (ACM (Association for Computing Machinery), 2017-08-23)
      The growth in the alternative digital publishing is widening the breadth of scholarly impact beyond the conventional bibliometric community. Thus, research is becoming more reachable both inside and outside of academic ...

    • A random walk model for entity relatedness 

      Torres-Tramón, Pablo; Hayes, Conor (Springer Verlag, 2018-10-31)
      Semantic relatedness is a critical measure for a wide variety of applications nowadays. Numerous models, including path-based, have been proposed for this task with great success in many applications during the last few ...

    • Rapid Competence Development in Serious Games Using Case-Based Reasoning and Threshold Concepts 

      Hulpus, Ioana; Fradinho, Manuel; Hayes, Conor (2010)
      A major challenge in todays fast pace world is the acquisition of competence in a timely and efficient manner, whilst keeping the individual highly motivated. This paper presents a novel based on the use of serious games ...

    • Reconstruction of Threaded Conversations in Online Discussion Forums 

      Aumayr, Erik; Jeffrey, Chan; Hayes, Conor (Fifth International AAAI Conference on Weblogs and Social Media, 2011-07-18)
      [no abstract available]

    • The role of negative results for choosing an evaluation approach - a recommender systems case study 

      Heitmann, Benjamin; Hayes, Conor (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 ...

    • SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge 

      Heitmann, Benjamin; Hayes, Conor (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 ...

    • Separating the wheat from the chaff: Evaluating success determinants for online Q&A communities 

      Aumayr, Erik; Hayes, Conor (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 ...

    • Social impact assessment of scientist from mainstream news and weblogs 

      Timilsina, Mohan; Khawaja, Waqas; Davis, Brian; Taylor, Mike; Hayes, Conor (Springer Verlag, 2017-10-14)
      Research policy makers, funding agencies, universities and government organizations evaluate research output or impact based on the traditional citation count, peer review, h-index and journal impact factors. These impact ...

    • Targeting online communities to maximise information diffusion 

      Belák, Václav; Lam, Samantha; Hayes, Conor (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 ...

    • Tell me who are your friends, and I’ll tell you who you are 

      Torres-Tramón, Pablo; Hayes, Conor (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 ...

    • Towards a reference architecture for Semantic Web applications 

      Heitmann, Benjamin; Hayes, Conor; Oren, Eyal (2009)
      The Semantic Web currently has two complementary architectural approaches: ¿Bottom-up¿ emergent best practices by the community and ¿top-down¿ prescriptive standards by standards bodies, leaving a gap regarding the concrete ...

    • Towards Cross-Community Effects in Scientific Communities 

      Karnstedt, Marcel; Hayes, Conor (2009)
      Community effects on the behaviour of individuals, the community itself and other communities can be observed in a wide range of applications. This is true in scientific research, where communities of researchers have ...

    • Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach 

      Timilsina, Mohan; Davis, Brian; Taylor, Mike; Hayes, Conor (IEEE, 2016-11-24)
      The realization that scholarly publications are discussed and have influence on discourse outside scientific and academic domains has given rise to area of scientometrics called alternative metrics or “altmetrics”. ...

    • Unsupervised Graph-Based Topic Labelling using DBpedia 

      Hulpus, Ioana; Hayes, Conor; Karnstedt, Marcel; Greene, Derek (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. ...

    • Using social media data for online television recommendation services at RTÉ Ireland 

      Barraza-Urbina, Andrea; Hromic, Hugo; Heitmann, Benjamin; Hayes, Conor; Hulpus, Ioana (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 

      Barraza-Urbina, Andrea; Hromic, Hugo; Heitmann, Benjamin; Tamatam, Himasagar; Yañez, Andrea; Hayes, Conor (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, ...

    • Using Tags and Clustering to Identify Topic-Relevant Blogs 

      Hayes, Conor (IAAA, 2007)
      The Web has experienced an exponential growth in the use of weblogs or blogs. Blog entries are generally organised using tags, informally defined labels which are increasingly being proposed as a `grassroots¿ answer to ...

    • XPLODIV: An exploitation-exploration aware diversification approach for Recommender Systems 

      Barraza-Urbina, Andrea; Heitmann, Benjamin; Hayes, Conor; Carrillo-Ramos, Angela (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 ...

    • XploDiv: Diversification Approach for Recommender Systems 

      Barraza-Urbina, Andrea; Heitmann, Benjamin; Hayes, Conor; Ramos, Angela Carrillo (INSIGHT Centre for Data Analytics, National University of Ireland, Galway, 2015)
      Recommender Systems 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 ...