Enhancing social media analysis with visual data analytics: a deep learning approach D Shin, S He, GM Lee, AB Whinston, S Cetintas, KC Lee MIS Quarterly 44 (4), 1459-1492, 2020 | 189 | 2020 |
Automatic detection of off-task behaviors in intelligent tutoring systems with machine learning techniques S Cetintas, L Si, YP Xin, C Hord IEEE Transactions on Learning Technologies 3 (3), 228-236, 2010 | 117 | 2010 |
Tumblr blog recommendation with boosted inductive matrix completion D Shin, S Cetintas, KC Lee, IS Dhillon Proceedings of the 24th ACM CIKM Conference on Information and Knowledge …, 2015 | 50 | 2015 |
A unified framework for the scheduling of guaranteed targeted display advertising under reach and frequency requirements A Hojjat, J Turner, S Cetintas, J Yang Operations Research 65 (2), 289 - 313, 2017 | 47 | 2017 |
Delivering guaranteed display ads under reach and frequency requirements A Hojjat, J Turner, S Cetintas, J Yang Proceedings of the 28th AAAI Conference on Artificial Intelligence, 2014 | 42 | 2014 |
Micro-blogging in classroom: classifying students' relevant and irrelevant questions in a micro-blogging supported classroom S Cetintas, L Si, H Aagard, K Bowen, M Cordova-Sanchez IEEE Transactions on Learning Technologies 4 (4), 292-300, 2011 | 41 | 2011 |
Learning from past queries for resource selection S Cetintas, L Si, H Yuan Proceedings of the 18th ACM CIKM Conference on Information and Knowledge …, 2009 | 37* | 2009 |
Generating preference indices for image content S Cetintas, K Lee, J Li US Patent 9,607,217, 2017 | 32 | 2017 |
Forecasting user visits for online display advertising S Cetintas, D Chen, L Si Information Retrieval 16 (3), 369-390, 2013 | 31 | 2013 |
Effective query generation and postprocessing strategies for prior art patent search S Cetintas, L Si Journal of the Association for Information Science and Technology 63 (3 …, 2012 | 28 | 2012 |
Identifying similar people in professional social networks with discriminative probabilistic models S Cetintas, M Rogati, L Si, Y Fang Proceedings of the 34th ACM SIGIR Conference on Research and Development in …, 2011 | 26 | 2011 |
Predicting correctness of problem solving from low-level log data in intelligent tutoring systems. S Cetintas, L Si, YP Xin, C Hord Proceedings of the 2nd EDM Conference on Educational Data Mining, 2009 | 23 | 2009 |
Inductive matrix completion and graph proximity for content item recommendation S Cetintas, K Lee US Patent 10,515,127, 2019 | 22 | 2019 |
Learning to identify students' off-task behavior in intelligent tutoring systems S Cetintas, L Si, YP Xin, C Hord, D Zhang Proceedings of the 14th AIED Conference on Artificial Intelligence in …, 2009 | 22 | 2009 |
An effective and efficient results merging strategy for multilingual information retrieval in federated search environments L Si, J Callan, S Cetintas, H Yuan Information Retrieval 11 (1), 1-24, 2008 | 22 | 2008 |
Recommending Tumblr blogs to follow with inductive matrix completion D Shin, S Cetintas, KC Lee Proceedings of the 8th ACM RecSys Conference on Recommender Systems, 2014 | 20 | 2014 |
Automatic text categorization of mathematical word problems. S Cetintas, L Si, YP Xin, D Zhang, JY Park Proceedings of the 22nd FLAIRS Conference on Artificial Intelligence, 2009 | 20 | 2009 |
Predicting correctness of problem solving in ITS with a temporal collaborative filtering approach S Cetintas, L Si, YP Xin, C Hord Proceedings of the 10th ITS Conference on Intelligent Tutoring Systems, 15-24, 2010 | 16 | 2010 |
A joint probabilistic classification model of relevant and irrelevant sentences in mathematical word problems S Cetintas, L Si, YP Xin, D Zhang, JY Park, R Tzur Journal of Educational Data Mining (JEDM) 2 (1), 83-101, 2010 | 15* | 2010 |
Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search S Cetintas, L Si Proceedings of the 30th ACM SIGIR Conference on Research and Development in …, 2007 | 13 | 2007 |