Barry Smyth | BibSonomy

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2Why I Like It: Multi-task Learning for Recommendation and Explanation
Y. Lu, R. Dong, and B. Smyth. Proceedings of the 12th ACM Conference on Recommender Systems, page 4--12. New York, NY, USA, ACM, (2018)
25 days ago by @brusilovsky
explanationsrecsys2018recommender
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1A classification-based review recommender.
M. O'Mahony, and B. Smyth. Knowl.-Based Syst. 23 (4): 323-329 (2010)
2 months ago by @dblp
dblp
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1A comparative study of collaboration-based reputation models for social recommender systems.
K. McNally, M. O'Mahony, and B. Smyth. User Model. User-Adapt. Interact. 24 (3): 219-260 (2014)
2 months ago by @dblp
dblp
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1Guest editors' introduction: special issue on case-based reasoning.
D. Leake, B. Smyth, and R. Weber. J. Intell. Inf. Syst. 46 (2): 235-236 (2016)
2 months ago by @dblp
dblp
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1Mining the real-time web: A novel approach to product recommendation.
S. Esparza, M. O'Mahony, and B. Smyth. Knowl.-Based Syst. (2012)
2 months ago by @dblp
dblp
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1Generating recommendations for consensus negotiation in group personalization services.
M. Salamó, K. McCarthy, and B. Smyth. Personal and Ubiquitous Computing 16 (5): 597-610 (2012)
2 months ago by @dblp
dblp
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1Collaborative web search: a robustness analysis.
M. O'Mahony, and B. Smyth. Artif. Intell. Rev. 28 (1): 69-86 (2007)
2 months ago by @dblp
dblp
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1Models of Web Page Reputation in Social Search.
K. McNally, M. O'Mahony, and B. Smyth. SocialCom/PASSAT, page 435-442. IEEE, (2011)
2 months ago by @dblp
dblp
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2Garment-based body sensing using foam sensors.
L. Dunne, S. Brady, R. Tynan, K. Lau, B. Smyth, D. Diamond, and G. O'Hare. AUIC, volume 50 of CRPIT, page 165-171. Australian Computer Society, (2006)
2 months ago by @dblp
dblp
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1The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data.
S. Banks, R. Rafter, and B. Smyth. RecSys, page 305-308. ACM, (2015)
2 months ago by @dblp
dblp
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2Why I like it: multi-task learning for recommendation and explanation.
Y. Lu, R. Dong, and B. Smyth. RecSys, page 4-12. ACM, (2018)
2 months ago by @dblp
dblp
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1Knowing the unknown: visualising consumption blind-spots in recommender systems.
N. Tintarev, S. Rostami, and B. Smyth. SAC, page 1396-1399. ACM, (2018)
2 months ago by @dblp
dblp
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1Convolutional Matrix Factorization for Recommendation Explanation.
Y. Lu, R. Dong, and B. Smyth. IUI Companion, page 34:1-34:2. ACM, (2018)
2 months ago by @dblp
dblp
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1Module advisor: a hybrid recommender system for elective module exploration.
N. Hagemann, M. O'Mahony, and B. Smyth. RecSys, page 498-499. ACM, (2018)
2 months ago by @dblp
dblp
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1Running Recommendations: Personalisation Opportunities for Health and Fitness.
B. Smyth. UMAP, page 1. ACM, (2018)
2 months ago by @dblp
dblp
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1Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews.
Y. Lu, R. Dong, and B. Smyth. WWW, page 773-782. ACM, (2018)
2 months ago by @dblp
dblp
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1An Assessment of Machine Learning Techniques for Review Recommendation.
M. O'Mahony, P. Cunningham, and B. Smyth. AICS, volume 6206 of Lecture Notes in Computer Science, page 241-250. Springer, (2009)
2 months ago by @dblp
dblp
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5The Utility Problem Analysed: A Case-Based Reasoning Perspective.
B. Smyth, and P. Cunningham. EWCBR, volume 1168 of Lecture Notes in Computer Science, page 392-399. Springer, (1996)
2 months ago by @dblp
dblp
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4A Comparison of Incremental Case-Based Reasoning and Inductive Learning.
B. Smyth, and P. Cunningham. EWCBR, volume 984 of Lecture Notes in Computer Science, page 151-164. Springer, (1994)
2 months ago by @dblp
dblp
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1An Analysis of Research Themes in the CBR Conference Literature.
D. Greene, J. Freyne, B. Smyth, and P. Cunningham. ECCBR, volume 5239 of Lecture Notes in Computer Science, page 18-43. Springer, (2008)
2 months ago by @dblp
dblp
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