Jinoh Oh
Jinoh Oh
Amazon Alexa
Potvrđena adresa e-pošte na
Convolutional matrix factorization for document context-aware recommendation
D Kim, C Park, J Oh, S Lee, H Yu
Proceedings of the 10th ACM conference on recommender systems, 233-240, 2016
Protecting location privacy using location semantics
B Lee, J Oh, H Yu, J Kim
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
Deep hybrid recommender systems via exploiting document context and statistics of items
D Kim, C Park, J Oh, H Yu
Information Sciences 417, 72-87, 2017
Novel recommendation based on personal popularity tendency
J Oh, S Park, H Yu, M Song, ST Park
2011 IEEE 11th international conference on data mining, 507-516, 2011
Improving top-K recommendation with truster and trustee relationship in user trust network
C Park, D Kim, J Oh, H Yu
Information Sciences 374, 100-114, 2016
Fast and robust parallel SGD matrix factorization
J Oh, WS Han, H Yu, X Jiang
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
S-hot: Scalable high-order tucker decomposition
J Oh, K Shin, EE Papalexakis, C Faloutsos, H Yu
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS
H Yu, T Kim, J Oh, I Ko, S Kim, WS Han
Proceedings of the third international workshop on Data and text mining in …, 2009
When to recommend: A new issue on TV show recommendation
J Oh, S Kim, J Kim, H Yu
Information Sciences 280, 261-274, 2014
Do" also-viewed" products help user rating prediction?
C Park, D Kim, J Oh, H Yu
Proceedings of the 26th International Conference on World Wide Web, 1113-1122, 2017
RecTime: Real-time recommender system for online broadcasting
Y Park, J Oh, H Yu
Information Sciences 409, 1-16, 2017
Time-dependent user profiling for TV recommendation
J Oh, Y Sung, J Kim, M Humayoun, YH Park, H Yu
2012 Second International Conference on Cloud and Green Computing, 783-787, 2012
Scalable and parallelizable influence maximization with random walk ranking and rank merge pruning
S Kim, D Kim, J Oh, JH Hwang, WS Han, W Chen, H Yu
Information Sciences 415, 171-189, 2017
Efficient feature weighting methods for ranking
H Yu, J Oh, WS Han
Proceedings of the 18th acm conference on information and knowledge …, 2009
Influence maximization based on reachability sketches in dynamic graphs
D Kim, D Hyeon, J Oh, WS Han, H Yu
Information Sciences 394, 217-231, 2017
Tri-fly: Distributed estimation of global and local triangle counts in graph streams
K Shin, M Hammoud, E Lee, J Oh, C Faloutsos
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
Processing time-dependent shortest path queries without pre-computed speed information on road networks
J Kim, WS Han, J Oh, S Kim, H Yu
Information sciences 255, 135-154, 2014
Trecso: Enhancing top-k recommendation with social information
C Park, D Kim, J Oh, H Yu
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
RefMed: relevance feedback retrieval system fo PubMed
H Yu, T Kim, J Oh, I Ko, S Kim
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
Predicting user purchase in e-commerce by comprehensive feature engineering and decision boundary focused under-sampling
C Park, D Kim, J Oh, H Yu
Proceedings of the 2015 International ACM Recommender Systems Challenge, 1-4, 2015
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