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University of Illinois at Urbana-Champaign

Leveraging multi-dimensional, multi-source knowledge for user preference modeling and event summarization in social media

Abstract

dc:description

This Dissertation was approved for publication on 2016-07-08 at 10:07.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wang, Jingjing
Contributors dc:contributor
  • Han, Jiawei
  • Zhai, ChengXiang
  • Hockenmaier, Julia
  • Mei, Qiaozhu

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • Copyright 2016 Jingjing Wang
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/93043
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/93043

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Wang, Jingjing. Leveraging multi-dimensional, multi-source knowledge for user preference modeling and event summarization in social media. Dissertation thesis, University of Illinois at Urbana-Champaign, 2016. http://hdl.handle.net/2142/93043