Dissertation Information for Kiduk YangNAME:
DEGREE:
DISCIPLINE:
SCHOOL: ADVISORS: COMMITTEE MEMBERS: MPACT Status: Fully Complete Title: Combining text-, link-, and classification-based retrieval methods to enhance information discovery on the Web Abstract: The massive, heterogeneous, and dynamic Web document collection diminishes the effectiveness of retrieval approaches of traditional Information Retrieval (IR). At the same time, the Web is rich with various sources of information that go beyond the contents of documents, such as hyperlinks and Web directories (e.g. Yahoo). This dissertation extends the past fusion IR studies, which have repeatedly shown that combining multiple sources of evidence (i.e. fusion) can improve retrieval performance, by investigating the effects of combining three distinct retrieval approaches for Web IR: the text-based approach that leverages document texts, the link-based approach that leverages hyperlinks, and the classification-based approach that leverages Yahoo categories. |
MPACT Scores for Kiduk YangA = 1 Advisors and Advisees Graphgenerating graph, please reload |
Students under Kiduk Yang
ADVISEES:
- Dan Albertson - Indiana University (2007)
COMMITTEESHIPS:
- Yueyu Fu - Indiana University (2006)
- Bi Yun Huang - Indiana University (2009)
- Seungmin Lee - Indiana University (2010)
- Ning Yu - Indiana University (2011)
- Hui Zhang - Indiana University (2013)