| Improving the accuracy of top-n recommendation using a preference model J Lee, D Lee, YC Lee, WS Hwang, SW Kim Information Sciences 348, 290-304, 2016 | 103 | 2016 |
| “Told you i didn't like it”: Exploiting uninteresting items for effective collaborative filtering WS Hwang, J Parc, SW Kim, J Lee, D Lee 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 349-360, 2016 | 83 | 2016 |
| Time-series aware precision and recall for anomaly detection: considering variety of detection result and addressing ambiguous labeling WS Hwang, JH Yun, J Kim, HC Kim Proceedings of the 28th ACM International Conference on Information and …, 2019 | 42 | 2019 |
| Efficient recommendation methods using category experts for a large dataset WS Hwang, HJ Lee, SW Kim, Y Won, M Lee Information Fusion 28, 75-82, 2016 | 40 | 2016 |
| -Injection: Toward Effective Collaborative Filtering Using Uninteresting Items J Lee, WS Hwang, J Parc, Y Lee, SW Kim, D Lee IEEE transactions on knowledge and data engineering 31 (1), 3-16, 2017 | 38 | 2017 |
| Yet another paper ranking algorithm advocating recent publications WS Hwang, SM Chae, SW Kim, G Woo Proceedings of the 19th international conference on World wide web, 1117-1118, 2010 | 35 | 2010 |
| On computing text-based similarity in scientific literature SH Yoon, SW Kim, JS Kim, WS Hwang Proceedings of the 20th international conference companion on World wide web …, 2011 | 29 | 2011 |
| Data imputation using a trust network for recommendation via matrix factorization WS Hwang, S Li, SW Kim, K Lee Computer Science and Information Systems 15 (2), 347-368, 2018 | 19 | 2018 |
| On using category experts for improving the performance and accuracy in recommender systems WS Hwang, HJ Lee, SW Kim, M Lee Proceedings of the 21st ACM international conference on Information and …, 2012 | 18 | 2012 |
| Context-aware music recommendation in mobile smart devices J Hong, WS Hwang, JH Kim, SW Kim Proceedings of the 29th annual ACM symposium on applied computing, 1463-1468, 2014 | 16 | 2014 |
| Data imputation using a trust network for recommendation WS Hwang, S Li, SW Kim, K Lee Proceedings of the 23rd International Conference on World Wide Web, 299-300, 2014 | 14 | 2014 |
| Communication device having a keyboard adopting a changeable character layout K Satoh US Patent App. 10/083,211, 2002 | 12 | 2002 |
| Alleviating the sparsity in collaborative filtering using crowdsourcing J Lee, M Jang, D Lee, WS Hwang, J Hong, SW Kim CrowdRec, 2013 | 11 | 2013 |
| Post ranking algorithms in blog environment WS Hwang, SW Kim, DH Bae, YJ Do 2008 Second International Conference on Future Generation Communication and …, 2008 | 11 | 2008 |
| Do you know existing accuracy metrics overrate time-series anomaly detections? WS Hwang, JH Yun, J Kim, BG Min Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 403-412, 2022 | 10 | 2022 |
| Exploiting trustors as well as trustees in trust-based recommendation WS Hwang, S Li, SW Kim, HJ Choi Proceedings of the 22nd ACM international conference on Information …, 2013 | 9 | 2013 |
| A method for recommending the latest news articles via MinHash and LSH WS Hwang, J Park, SW Kim Proceedings of the 9th International Conference on Ubiquitous Information …, 2015 | 7 | 2015 |
| On Exploiting Trustors in Trust-Based Recommendation WS Hwang, SY Li, SW Kim, HJ Choi 網際網路技術學刊 16 (4), 755-765, 2015 | 3 | 2015 |
| Post Ranking in a Blogosphere with a Scrap Function: Algorithms and Performance Evaluation WS Hwang, YJ Do, SW Kim The KIPS Transactions: PartD 18 (2), 101-110, 2011 | 3 | 2011 |
| Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series JH Yun, J Kim, WS Hwang, YG Kim, SS Woo, BG Min Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 87-96, 2022 | 2 | 2022 |
