Dr Ruihai Dong

Lecturer/Assistant Professor

 email: ruihai.dong@ucd.ie
 Phone: +353 1 7162631
 Room: E3.44
   Science East
   Belfield 
   Dublin 4

 Full Profile

COMP2004J Databases and Information Systems

COMP3006J Cloud Computing

Research Interests: Recommender Systems, Data Analytics, Deep Learning and Machine Learning.

Ruihai Dong, Kevin McCarthy, Michael P. O’Mahony, Markus Schaal and Barry Smyth, Towards an Intelligent Reviewer’s Assistant: Recommending Topics to Help Users to Write Better Product Reviews, Published in IUI ’12: Proceedings of the 17th International Conference on Intelligent User Interfaces, pp 159-168

Ruihai Dong, Markus Schaal, Michael P. O’Mahony and Barry Smyth, Topic Extraction from Online Reviews for Classification and Recommendation, Published in IJCAI ’13: Proceedings of the 23rd International Joint Conference on Artificial Intelligence, pp 1310–1316

Ruihai Dong, Michael P. O’Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth, Sentimental product recommendation, Published in RECSYS ’13: Proceedings of the 7th ACM Conference on Recommender Systems, pp 411-414

Ruihai Dong, Michael P. O’Mahony, Barry Smyth, Further Experiments in Opinionated Product Recommendation, Published in ICCBR ’14: Proceedings of the 22nd International Conference on Case-Based Reasoning, pp 110-124

Ruihai Dong, Michael P. O’Mahony, Markus Schaal, Kevin McCarthy and Barry Smyth, Combining Similarity and Sentiment in Opinion Mining for Product Recommendation, Published in JIIS: Journal of Intelligent Information Systems 2015, pp 1-18

Ruihai Dong, Barry Smyth, From More-Like- This to Better-Than- This: Hotel Recommendations from User Generated Reviews, Published in UMAP ’16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, pp 309-310

Yichao Lu, Ruihai Dong, Barry Smyth, Context-aware Sentiment Detection From Ratings, Published in AI-2016 Thirty-sixth SGAI International Conference on Artificial Intelligence

Ruihai Dong, Barry Smyth, User-Based Opinion-based Recommendation. Published in IJCAI ’17: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pp 4821-4825