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2010 – 2019
- 2016
[c19]Barry Smyth, Rachael Rafter, Sam Banks:
Harnessing Crowdsourced Recommendation Preference Data from Casual Gameplay. UMAP 2016: 95-104- 2015
- [c18]Barry Smyth, Rachael Rafter, Sam Banks:
A Game with a Purpose for Recommender Systems. HCOMP 2015: 38-39 - [c17]Khalil Muhammad, Aonghus Lawlor
, Rachael Rafter, Barry Smyth:
Great Explanations: Opinionated Explanations for Recommendations. ICCBR 2015: 244-258 - [c16]Sam Banks, Rachael Rafter, Barry Smyth:
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data. RecSys 2015: 305-308 - [c15]Aonghus Lawlor, Khalil Muhammad, Rachael Rafter, Barry Smyth:
Opinionated Explanations for Recommendation Systems. SGAI Conf. 2015: 331-344 - [c14]Doychin Doychev, Rachael Rafter, Aonghus Lawlor, Barry Smyth:
News Recommenders: Real-Time, Real-Life Experiences. UMAP 2015: 337-342 - [c13]Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth:
Generating Personalised and Opinionated Review Summaries. UMAP Workshops 2015 - 2014
- [j3]Athanasios Staikopoulos, Ian O'Keeffe, Rachael Rafter, Eddie Walsh, Bilal Yousuf, Owen Conlan, Vincent Wade:
AMASE: A framework for supporting personalised activity-based learning on the web. Comput. Sci. Inf. Syst. 11(1): 343-367 (2014) - [c12]Doychin Doychev, Aonghus Lawlor, Rachael Rafter:
An Analysis of Recommender Algorithms for Online News. CLEF (Working Notes) 2014: 825-836 - 2013
- [c11]Steven Bourke, Michael P. O'Mahony, Rachael Rafter, Barry Smyth:
Ranking in information streams. IUI Companion 2013: 99-100 - [c10]Zurina Saaya, Rachael Rafter, Markus Schaal, Barry Smyth:
The curated web: a recommendation challenge. RecSys 2013: 101-104 - [c9]Zurina Saaya, Markus Schaal, Rachael Rafter, Barry Smyth:
Recommending Topics for Web Curation. UMAP 2013: 242-253 - 2012
- [c8]Athanasios Staikopoulos, Ian O'Keeffe, Rachael Rafter, Eddie Walsh, Bilal Yousuf, Owen Conlan, Vincent Wade:
AMASE: A Framework for Composing Adaptive and Personalised Learning Activities on the Web. ICWL 2012: 190-199 - [c7]Ian O'Keeffe, Athanasios Staikopoulos, Rachael Rafter, Eddie Walsh, Bilal Yousuf, Owen Conlan, Vincent Wade:
Personalized activity based eLearning. I-KNOW 2012: 2 - [c6]Steven Bourke, Michael P. O'Mahony, Rachael Rafter, Kevin McCarthy, Barry Smyth:
Collaborative Filtering For Recommendation In Online Social Networks. SGAI Conf. 2012: 303-316 - 2011
- [c5]Eddie Walsh, Rachael Rafter, Owen Conlan, Vincent Wade:
Dynamic contextual usage metadata for learning resource reuse in adaptive environments. IRI 2011: 474-479
2000 – 2009
- 2009
- [c4]Rachael Rafter, Michael P. O'Mahony, Neil J. Hurley, Barry Smyth:
What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective. UMAP 2009: 355-360 - 2005
- [j2]Rachael Rafter, Barry Smyth:
Conversational Collaborative Recommendation - An Experimental Analysis. Artif. Intell. Rev. 24(3-4): 301-318 (2005) - 2003
- [c3]Rachael Rafter, Barry Smyth:
Item Selection Strategies for Collaborative Filtering. IJCAI 2003: 1437-1439 - 2002
- [j1]Barry Smyth, Keith Bradley, Rachael Rafter:
Personalization techniques for online recruitment services. Commun. ACM 45(5): 39-40 (2002) - 2000
- [c2]Keith Bradley, Rachael Rafter, Barry Smyth:
Case-Based User Profiling for Content Personalisation. AH 2000: 62-72 - [c1]Rachael Rafter, Keith Bradley, Barry Smyth:
Automated Collaborative Filtering Applications for Online Recruitment Services. AH 2000: 363-368
Coauthor Index
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