Khalil Muhammad
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引用先
Great explanations: Opinionated explanations for recommendations
K Muhammad, A Lawlor, R Rafter, B Smyth
International Conference on Case-Based Reasoning, 244-258, 2015
402015
A live-user study of opinionated explanations for recommender systems
KI Muhammad, A Lawlor, B Smyth
Proceedings of the 21st International Conference on Intelligent User …, 2016
292016
On the use of opinionated explanations to rank and justify recommendations
K Muhammad, A Lawlor, B Smyth
FLAIRS 2016, the 29th International Florida Artificial Intelligence Research …, 2016
92016
Opinionated explanations for recommendation systems
A Lawlor, K Muhammad, R Rafter, B Smyth
International Conference on Innovative Techniques and Applications of …, 2015
92015
On the pros and cons of explanation-based ranking
K Muhammad, A Lawlor, B Smyth
International Conference on Case-Based Reasoning, 227-241, 2017
72017
Fedfast: Going beyond average for faster training of federated recommender systems
K Muhammad, Q Wang, D O'Reilly-Morgan, E Tragos, B Smyth, N Hurley, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
52020
Explanation-based ranking in opinionated recommender systems
K Muhammad, A Lawlor, B Smyth
The 24th Irish Conference on Artificial Intelligence and Cognitive Science …, 2018
32018
A multi-domain analysis of explanation-based recommendation using user-generated reviews
K Muhammad, A Lawlor, B Smyth
The Thirty-First International FLAIRS Conference (FLAIRS-31), Florida …, 2018
22018
Generating Personalised and Opinionated Review Summaries
K Muhammad, A Lawlor, R Rafter, B Smyth
Proceedings of the Posters and Demos at the 23rd Conference on User …, 2015
22015
Opinionated Explanations of Recommendations from Product Reviews.
K Muhammad
ICCBR (Workshops), 280-282, 2015
2015
Mining Product Experiences from User Generated Reviews: A Recommender Systems Perspective
K Muhammad, A Lawlor, R Rafter, B Smyth
22nd International Conference on Case-Based Reasoning, Cork, Ireland, 29 …, 2014
2014
Explanation-driven Product Recommendation from User-Generated Reviews
K Muhammad
Preface: The ICCBR 2014 Doctoral Consortium, 0
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