Suleyman Cetintas
Suleyman Cetintas
Principal Scientist / Director of ML, Yahoo Research (Ph.D., Purdue CS)
Adresse e-mail validée de yahoo-inc.com - Page d'accueil
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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
852010
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
362015
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
34*2020
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
312011
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
302014
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
30*2009
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
242017
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
242011
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
232012
Forecasting user visits for online display advertising
S Cetintas, D Chen, L Si
Information Retrieval 16 (3), 369-390, 2013
212013
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
202009
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
202009
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
182008
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
172010
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
162009
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
152014
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
132007
Inductive matrix completion and graph proximity for content item recommendation
S Cetintas, K Lee
US Patent App. 14/682,603, 2015
12*2015
Learning to identify students’ relevant and irrelevant questions in a micro-blogging supported classroom
S Cetintas, L Si, S Chakravarty, H Aagard, K Bowen
Proceedings of the 10th ITS Conference on Intelligent Tutoring Systems, 281-284, 2010
112010
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
11*2010
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