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https://hdl.handle.net/2142/81661
Description
Title
Supporting Ranking for Data Retrieval
Author(s)
Hwang, Seung-won
Issue Date
2005
Doctoral Committee Chair(s)
Chang, Kevin Chen-Chuan
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
While building this system, we also observe that ranking functions learned often turn out to be quite complicated. Meanwhile, rank processing techniques have been focusing on supporting monotonic functions. We address this new challenge by developing a fresh new perspective abstracting query answering as an optimization problem, which enables to extend rank processing for any arbitrary functions.
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