Personalising the User Experience

Personalising the User Experience

This work is motivated by the volume and veracity of information that end users are tasked with trying to make sense of daily. We are revolutionising how users discover, share and work with multimodal content as part of the global conversation by focusing on pertinent content/actions. To date researchers in this Theme have developed baseline approaches and associated/implemented frameworks to:

  • Dynamically deliver notifications in a personalised way;
  • Create personalised visualisations on the fly;
  • Elicit users’ attitudes to privacy and;
  • Support entity-centric explorative information retrieval.

This research will uncover a more fluid interaction between users and the content that surrounds them, allowing them to more efficiently and effectively work with that content.

Research team



Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football

  • Posted: 5 Dec 2019
  • Author: , Nicholas Bonello, Joeran Beel, Seamus Lawless, Jeremy Debattista
  • Publication: AICS 2019 - 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science

Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?

  • Posted: 16 Sep 2019
  • Author: Joeran Beel, Victor Brunel
  • Publication: RecSys 2019 - 13th ACM Conference on Recommender Systems

Diachronic Analysis of Entities by Exploiting Wikipedia Page revisions

  • Posted: 2 Sep 2019
  • Author: , Pierpaolo Basile, Annalina Caputo, Seamus Lawless and Giovanni Semeraro
  • Publication: RANLP 2019 - 12th Conference on Recent Advances in Natural Language Processing
Journal Article

Cognitive reserve and self-efficacy as moderators of the effect of stress exposure on executive functioning among spousal dementia caregivers

  • Posted: 9 Jan 2017
  • Author: , Pertl, M.M., Hannigan, C., Brennan, S., Robertson, I.H., Lawlor, B.A
  • Publication: International Journal of Psychogeriatrics

Research Goals

Continuous Personalisation, is working on adding actionable items, via services, that allow users to engage with this content (and its originator). Dynamically generating models of users and their changing contexts, and the enhancement of the personalisation engine for highly dynamic content are in progress.

User Control and Adaptive Peripheral Awareness, is expanding its privacy awareness and management work to deliver a privacy management framework to help users control their data and how it flows to third-party services. The visualisation framework is further developed to give users a dynamic insight into their digitised self.

Personalised Content Retrieval, enhances approaches to the personalisation of knowledge discovery processes on multimodal content. This research investigates entity-centric approaches to information retrieval in explorative, knowledge acquisition contexts.

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