Rachael Rafter

According to our database, Rachael Rafter authored at least 22 papers between 2000 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Harnessing Crowdsourced Recommendation Preference Data from Casual Gameplay.

Barry Smyth, Rachael Rafter, Sam Banks

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

2015

Generating Personalised and Opinionated Review Summaries.

Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth

Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

News Recommenders: Real-Time, Real-Life Experiences.

Doychin Doychev, Rachael Rafter, Aonghus Lawlor, Barry Smyth

Proceedings of the User Modeling, Adaptation and Personalization, 2015

Opinionated Explanations for Recommendation Systems.

Aonghus Lawlor, Khalil Muhammad, Rachael Rafter, Barry Smyth

Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data.

Sam Banks, Rachael Rafter, Barry Smyth

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Great Explanations: Opinionated Explanations for Recommendations.

Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth

Proceedings of the Case-Based Reasoning Research and Development, 2015

A Game with a Purpose for Recommender Systems.

Barry Smyth, Rachael Rafter, Sam Banks

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2014

AMASE: A framework for supporting personalised activity-based learning on the web.

Athanasios Staikopoulos, Ian O'Keeffe, Rachael Rafter, Eddie Walsh, Bilal Yousuf, Owen Conlan, Vincent Wade

Comput. Sci. Inf. Syst., 2014

An Analysis of Recommender Algorithms for Online News.

Doychin Doychev, Aonghus Lawlor, Rachael Rafter

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Recommending Topics for Web Curation.

Zurina Saaya, Markus Schaal, Rachael Rafter, Barry Smyth

Proceedings of the User Modeling, Adaptation, and Personalization, 2013

The curated web: a recommendation challenge.

Zurina Saaya, Rachael Rafter, Markus Schaal, Barry Smyth

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Ranking in information streams.

Steven Bourke, Michael P. O'Mahony, Rachael Rafter, Barry Smyth

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

2012

Collaborative Filtering For Recommendation In Online Social Networks.

Steven Bourke, Michael P. O'Mahony, Rachael Rafter, Kevin McCarthy, Barry Smyth

Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

Personalized activity based eLearning.

Ian O'Keeffe, Athanasios Staikopoulos, Rachael Rafter, Eddie Walsh, Bilal Yousuf, Owen Conlan, Vincent Wade

Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies, 2012

AMASE: A Framework for Composing Adaptive and Personalised Learning Activities on the Web.

Athanasios Staikopoulos, Ian O'Keeffe, Rachael Rafter, Eddie Walsh, Bilal Yousuf, Owen Conlan, Vincent Wade

Proceedings of the Advances in Web-Based Learning - ICWL 2012, 2012

2011

Dynamic contextual usage metadata for learning resource reuse in adaptive environments.

Eddie Walsh, Rachael Rafter, Owen Conlan, Vincent Wade

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

2009

What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective.

Rachael Rafter, Michael P. O'Mahony, Neil J. Hurley, Barry Smyth

Proceedings of the User Modeling, 2009

2005

Conversational Collaborative Recommendation - An Experimental Analysis.

Rachael Rafter, Barry Smyth

Artif. Intell. Rev., 2005

2003

Item Selection Strategies for Collaborative Filtering.

Rachael Rafter, Barry Smyth

Proceedings of the IJCAI-03, 2003

2002

Personalization techniques for online recruitment services.

Barry Smyth, Keith Bradley, Rachael Rafter

Commun. ACM, 2002

2000

Automated Collaborative Filtering Applications for Online Recruitment Services.

Rachael Rafter, Keith Bradley, Barry Smyth

Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2000

Case-Based User Profiling for Content Personalisation.

Keith Bradley, Rachael Rafter, Barry Smyth

Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2000