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

Publications

Conference Paper

Entity Attribute Ranking Using Learning to Rank

  • Posted: 11 Aug 2017
  • Author: Aoife Brady
  • Publication: KG4IR - First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis
Conference Paper

Extending Multimodal Characteristics of Video to Understand User Engagement and Potential Segmentation

  • Posted: 28 Jun 2015
  • Author: Fahim A. Salim, Owen Conlan, Nick Campbell, Killian Levacher
  • Publication: UMAP' 15
Journal Article

Supporting Student Engagement through Explorable Visual Narratives

  • Posted: 3 Jul 2017
  • Author: Bilal Yousuf, Owen Conlan
  • Publication: IEEE Transaction on Learning Technologies
Conference Paper

Triple Scoring Using Paragraph Vector

  • Posted: 6 Feb 2017
  • Author: Annalina Caputo, Séamus Lawless, Esraa Ali, Annalina Caputo, Séamus Lawless
  • Publication: WSDM Cup 2017: Vandalism Detection and Triple Scoring

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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