Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. EPFL thesis
  4. Entities on the Web : Resolution, Matching and Profiling
 
doctoral thesis

Entities on the Web : Resolution, Matching and Profiling

Yerva, Surender Reddy  
2013
  • Files
  • Details
  • Metrics
Type
doctoral thesis
DOI
10.5075/epfl-thesis-5897
Author(s)
Yerva, Surender Reddy  
Advisors
Aberer, Karl  
Jury

M. Grossglauser (président), K. Balog, Z. Miklós, M. Rajman

Date Issued

2013

Publisher

EPFL

Publisher place

Lausanne

Public defense year

2013-08-22

Thesis number

5897

Subjects

entity

•

entity resolution

•

entity profiles

•

recommendations

•

semantic web

•

twitter streams

•

social networks

•

machine learning

•

online reputation management

•

sentiment metrics

•

user models

EPFL units
LSIR  
Faculty
IC  
School
IIF  
Doctoral School
EDIC  
Available on Infoscience
August 13, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/94064
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés