Files in this item

FilesDescriptionFormat

application/pdf

application/pdf3182284.pdf (5MB)Restricted to U of Illinois
(no description provided)PDF

Description

Title:Supporting Ranking for Data Retrieval
Author(s):Hwang, Seung-Won
Doctoral Committee Chair(s):Chang, Kevin Chen-Chuan
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
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.
Issue Date:2005
Type:Text
Language:English
Description:137 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
URI:http://hdl.handle.net/2142/81661
Other Identifier(s):(MiAaPQ)AAI3182284
Date Available in IDEALS:2015-09-25
Date Deposited:2005


This item appears in the following Collection(s)

Item Statistics