RUcore: Rutgers University Community Repository
Ads in Facebook
Descriptive
TitleInfo
Title
Ads in Facebook
Name
(type = personal)
NamePart
(type = family)
Paravastu Pattarabhiran
NamePart
(type = given)
Lavanya
NamePart
(type = date)
1987-
DisplayForm
Lavanya Paravastu Pattarabhiran
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Muthukrishnan
NamePart
(type = given)
Shan
DisplayForm
Shan Muthukrishnan
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Nath
NamePart
(type = given)
Badri
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Badri Nath
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Gerasoulis
NamePart
(type = given)
Apostolos
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Apostolos Gerasoulis
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - New Brunswick
Role
RoleTerm
(authority = RULIB)
school
TypeOfResource
Text
Genre
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theses
OriginInfo
DateCreated
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2012
DateOther
(qualifier = exact);
(type = degree)
2012-05
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Understanding the relevancy of user-targeted ads on social networking websites requires the information about the heterogeneous user data and the corresponding ads that are targeted towards the user. This can be accomplished by performing a large scale collection of ads seen by users online on various social networking sites. For the purpose of this research, Facebook was considered as the social networking website. Since using real user profiles may involve privacy issues, dummy profiles were created and the targeted ads were analyzed. Moreover, in order to limit the amount of data being collected and analyzed, the study targeted Facebook ads from a region, India. An automated script in java and selenium was also developed to collect the ads that were targeted at the dummy profiles created. The data collected was analyzed using General Linear Modeling to understand the dependency between category of advertisement shown to a user and profile characteristics like age, gender and location.
Subject
(authority = RUETD)
Topic
Computer Science
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_3941
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
vi, 59 p. : ill.
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Lavanya Paravastu Pattarabhiran
Subject
Name
(authority = LC-NAF)
NamePart
(type = corporate)
Facebook (Firm)
Subject
(authority = ETD-LCSH)
Topic
Advertising--Telecommunication
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065240
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
Location
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3M907K9
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Paravastu Pattarabhiran
GivenName
Lavanya
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2012-04-13 11:52:59
AssociatedEntity
Name
Lavanya Paravastu Pattarabhiran
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
FileSize
(UNIT = bytes)
1146880
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windows xp
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ETD
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application/pdf
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application/x-tar
FileSize
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1146880
Checksum
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fa12660b906c9258730805273e99036be5c42ed2
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