Current projects
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Novel Recommendation for Digital TV
2011.02.01 - 2012.01.31 (1 years). This work was supported by Samsung Electronics.Existing recommendation systems (e.g., the Netflix competition) focus on an accurate prediction of purchase ...
Posted Jan 17, 2012 10:26 PM by Hwanjo Yu
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Developing Search and Mining Technologies for Mobile Devices
2011.05.01 - 2014.04.30 (3 years). This work was supported by the Brain Korea 21 Project in 2010 and Mid-career Researcher Program through NRF grant funded by ...
Posted Aug 8, 2011 4:55 AM by Hwanjo Yu
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User-Friendly Search Engine for MEDLINE
2009.05.01 - 2012.02.28 (3 years). This work was supported by the Brain Korea 21 Project and Mid-career Researcher Program through NRF grant funded by the MEST ...
Posted Aug 8, 2011 4:39 AM by Hwanjo Yu
Past projects
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Feature Weighting for Ranking
This work is supported by MSRA (Microsoft Research Asia).
Feature weighting for ranking has not been researched as extensively as for classification. This project develops various feature weighting methods for ...
Posted Oct 11, 2011 9:58 PM by Hwanjo Yu
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Enabling Relevance Ranking in Databases for User-Friendly Data Retrieval
2008.07.01 - 2011.06.30 (3 years). This work is supported by the Brain Korea 21 Project and the Korea Research Foundation Grant funded by the Korean Government (KRF ...
Posted Aug 8, 2011 4:33 AM by Hwanjo Yu
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Development of Kernel Based Real-time Recommender System through Structured Web Data Analysis
With Prof. Jaewook Lee (PI), 2008.07.01 - 2010.06.31 (2 years). This work was supported by the Brain Korea 21 Project and the Korea Research Foundation Grant funded ...
Posted Aug 8, 2011 4:34 AM by Hwanjo Yu
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Support Vector Machine with Limited Memory
Support vector machines (SVMs) have been promising methods for classification, regression, ranking analysis due to their solid mathematicalfoundations, which include two desirable properties: margin maximization and nonlinear classification using ...
Posted Sep 4, 2010 6:29 PM by Hwanjo Yu
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SCC: Single-Class Classification or Classification Without Negative Examples
Single-Class Classification (SCC) seeks to distinguish one class of data from universal set of multiple classes. We call the target class positive and the complement set of samples negative ...
Posted Sep 4, 2010 6:18 PM by Hwanjo Yu
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PP-SVM: Privacy Preserving Support Vector Machines
Data Mining has many applications in the real world. Classification is an important sub-class of problems found in a wide variety of situations. Fraud detection is one of the ...
Posted Sep 4, 2010 6:19 PM by Hwanjo Yu
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Feature Discovery and Visualization in Support Vector Machines
Despite the popularity of SVMs in the data mining and machine learning communities, applying them to real world classification problems often confronts another obstacle, that is, the barrier of understanding ...
Posted Sep 4, 2010 6:23 PM by Hwanjo Yu
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