Follow
Guangyuan Piao
Guangyuan Piao
Maynooth University | Bell Labs | Insight Centre | DERI
Verified email at mu.ie - Homepage
Title
Cited by
Cited by
Year
Measuring semantic distance for linked open data-enabled recommender systems
G Piao, JG Breslin
Proceedings of the 31st Annual ACM Symposium on Applied Computing (SAC), 315-320, 2016
602016
Exploring dynamics and semantics of user interests for user modeling on Twitter for link recommendations
G Piao, JG Breslin
🏆International Conference on Semantic Systems (SEMANTiCS), 81-88, 2016
452016
Inferring user interests in microblogging social networks: a survey
G Piao, JG Breslin
User Modeling and User-Adapted Interaction (UMUAI) 28 (3), 277-329, 2018
422018
Analyzing aggregated semantics-enabled user modeling on Google+ and Twitter for personalized link recommendations
G Piao, JG Breslin
User Modeling Adaptation and Personalization (UMAP), 105-109, 2016
282016
Computing the semantic similarity of resources in dbpedia for recommendation purposes
G Piao, S showkat Ara, JG Breslin
Joint International Semantic Technology Conference (JIST), 185-200, 2015
282015
Analyzing MOOC entries of professionals on LinkedIn for user modeling and personalized MOOC recommendations
G Piao, JG Breslin
User Modeling Adaptation and Personalization (UMAP), 291-292, 2016
232016
Transfer learning for item recommendations and knowledge graph completion in item related domains via a co-factorization model
G Piao, JG Breslin
Extended Semantic Web Conference (ESWC), 496-511, 2018
222018
Inferring user interests for passive users on Twitter by leveraging followee biographies
G Piao, JG Breslin
European Conference on Information Retrieval (ECIR), 122-133, 2017
222017
User modeling on Twitter with WordNet Synsets and DBpedia concepts for personalized recommendations
G Piao, JG Breslin
Conference on Information and Knowledge Management (CIKM), 2057-2060, 2016
222016
Financial aspect and sentiment predictions with deep neural networks: an ensemble approach
G Piao, JG Breslin
Companion Proceedings of the The Web Conference (WWW), 1973-1977, 2018
212018
Interest representation, enrichment, dynamics, and propagation: a study of the synergetic effect of different user modeling dimensions for personalized recommendations on Twitter
G Piao, JG Breslin
European Knowledge Acquisition Workshop (EKAW), 496-510, 2016
112016
Towards comprehensive user modeling on the social web for personalized link recommendations
G Piao
User Modeling Adaptation and Personalization (UMAP), 333-336, 2016
112016
Learning to Rank Tweets with Author-Based Long Short-Term Memory Networks
G Piao, JG Breslin
International Conference on Web Engineering (ICWE), 288-295, 2018
82018
Leveraging followee list memberships for inferring user interests for passive users on Twitter
G Piao, JG Breslin
Proceedings of the 28th ACM Conference on Hypertext and Social Media …, 2017
82017
A study of the similarities of entity embeddings learned from different aspects of a knowledge base for item recommendations
G Piao, JG Breslin
🏆DL4KG at Extended Semantic Web Conference (ESWC), 345-359, 2018
72018
Factorization machines leveraging lightweight linked open data-enabled features for top-N recommendations
G Piao, JG Breslin
International Conference on Web Information Systems Engineering (WISE), 420-434, 2017
72017
Extracting, Mining and Predicting Users’ Interests from Social Media
F Zarrinkalam, S Faralli, G Piao, E Bagheri
Foundations and Trends® in Information Retrieval, 2020
32020
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach
W Huang, N Laitonjam, G Piao, NJ Hurley
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 206-218, 2021
2*2021
Mining User Interests from Social Media (Tutorial)
F Zarrinkalam, G Piao, S Faralli, E Bagheri
Conference on Information & Knowledge Management (CIKM), 3519-3520, 2020
2*2020
Mining User Interests from Social Media (Tutorial)
F Zarrinkalam, S Faralli, G Piao, E Bagheri
International Joint Conference on Artificial Intelligence (IJCAI), https …, 2020
2*2020
The system can't perform the operation now. Try again later.
Articles 1–20