Connecting users and items with weighted tags for personalized item recommendations H Liang, Y Xu, Y Li, R Nayak, X Tao Proceedings of the 21st ACM conference on Hypertext and hypermedia, 51-60, 2010 | 106 | 2010 |
Collaborative filtering recommender systems using tag information H Liang, Y Xu, Y Li, R Nayak Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web ¡¦, 2008 | 84 | 2008 |
Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution B Ramadan, P Christen, H Liang, RW Gayler Journal of Data and Information Quality (JDIQ) 6 (4), 15, 2015 | 62 | 2015 |
Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution⋆ PC Banda Ramadan, H Liang Databases Theory and Applications: 25th Australasian Database Conference ¡¦, 2014 | 62* | 2014 |
Dynamic sorted neighborhood indexing for real-time entity resolution B Ramadan, P Christen, H Liang Databases Theory and Applications, 1-12, 2014 | 62 | 2014 |
Semantic-aware blocking for entity resolution HL Qing Wang, Mingyuan Cui ICDE 2016, 1468-1469, 2016 | 55* | 2016 |
Semantic-aware blocking for entity resolution Q Wang, M Cui, H Liang IEEE Transactions on Knowledge and Data Engineering 28 (1), 166-180, 2016 | 55 | 2016 |
Time-aware topic recommendation based on micro-blogs H Liang, Y Xu, D Tjondronegoro, P Christen Proceedings of the 21st ACM international conference on Information and ¡¦, 2012 | 53 | 2012 |
Explainable sentiment analysis with applications in medicine C Zucco, H Liang, G Di Fatta, M Cannataro 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM ¡¦, 2018 | 46 | 2018 |
A Probabilistic Rating Auto-encoder for Personalized Recommender Systems H Liang, T Baldwin Proceedings of the 24th ACM International on Conference on Information and ¡¦, 2015 | 41 | 2015 |
UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification. S Xu, HZ Liang, T Baldwin SemEval@ NAACL-HLT, 183-189, 2016 | 40 | 2016 |
Dynamic similarity-aware inverted indexing for real-time entity resolution B Ramadan, P Christen, H Liang, RW Gayler, D Hawking Pacific-Asia Conference on Knowledge Discovery and Data Mining, 47-58, 2013 | 39 | 2013 |
A dynamic Bayesian network approach for analysing topic-sentiment evolution H Liang, U Ganeshbabu, T Thorne IEEE Access 8, 54164-54174, 2020 | 38 | 2020 |
Personalized recommender systems integrating social tags and item taxonomy H Liang, Y Xu, Y Li, R Nayak, LT Weng Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web ¡¦, 2009 | 33 | 2009 |
Noise-tolerant approximate blocking for dynamic real-time entity resolution H Liang, Y Wang, P Christen, R Gayler Pacific-Asia Conference on Knowledge Discovery and Data Mining, 449-460, 2014 | 31 | 2014 |
Parallel user profiling based on folksonomy for large scaled recommender systems: An implimentation of cascading mapreduce H Liang, J Hogan, Y Xu Data Mining Workshops (ICDMW), 2010 IEEE International Conference on, 154-161, 2010 | 28 | 2010 |
Tag based collaborative filtering for recommender systems H Liang, Y Xu, Y Li, R Nayak Rough Sets and Knowledge Technology, 666-673, 2009 | 25 | 2009 |
Developing trust networks based on user tagging information for recommendation making T Bhuiyan, Y Xu, A J©ªsang, H Liang, C Cox Web Information Systems Engineering–WISE 2010, 357-364, 2010 | 23 | 2010 |
Personalized recommender system based on item taxonomy and folksonomy H Liang, Y Xu, Y Li, R Nayak Proceedings of the 19th ACM international conference on Information and ¡¦, 2010 | 22 | 2010 |
Collaborative filtering recommender systems based on popular tags H Liang, Y Xu, Y Li, R Nayak ADCS 2009: Proceedings of the Fourteenth Australasian Document Computing ¡¦, 2009 | 19 | 2009 |