@PhDThesis{Vasconcelos:2017:AbMiLo,
author = "Vasconcelos, Leandro Guarino de",
title = "Uma abordagem para minera{\c{c}}{\~a}o de logs para apoiar a
constru{\c{c}}{\~a}o de aplica{\c{c}}{\~o}es web adaptativas",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2017",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2017-05-24",
keywords = "an{\'a}lise do comportamento do usu{\'a}rio,
minera{\c{c}}{\~a}o de dados da web, minera{\c{c}}{\~a}o de
uso da Web, web adaptativa, user behavior analysis, web mining,
web usage mining, web adaptive.",
abstract = "Atualmente, h{\'a} mais de 1 bilh{\~a}o de web sites
dispon{\'{\i}}veis. Neste enorme hiperespa{\c{c}}o, h{\'a}
muitos web sites que fornecem o mesmo conte{\'u}do ou
servi{\c{c}}o. Portanto, quando um usu{\'a}rio n{\~a}o encontra
o que est{\'a} procurando ou enfrenta dificuldades na
intera{\c{c}}{\~a}o, ele tende a procurar em outro web site.
Para suprir as necessidades dos usu{\'a}rios atuais da Web, web
sites adaptativos t{\^e}m sido propostos. As abordagens de
adapta{\c{c}}{\~a}o existentes geralmente adaptam o
conte{\'u}do das p{\'a}ginas de acordo com o interesse do
usu{\'a}rio. Entretanto, a adapta{\c{c}}{\~a}o da estrutura da
interface para atender {\`a}s necessidades do usu{\'a}rio ainda
necessita ser explorada. Nesta tese, uma abordagem {\'e} proposta
para analisar o comportamento do usu{\'a}rio de
aplica{\c{c}}{\~o}es Web durante a navega{\c{c}}{\~a}o,
explorando a minera{\c{c}}{\~a}o de logs de cliente, chamada RUM
(em ingl{\^e}s, Real-time Usage Mining). Nesta abordagem, as
a{\c{c}}{\~o}es do usu{\'a}rio s{\~a}o coletadas na interface
da aplica{\c{c}}{\~a}o e processadas de forma s{\'{\i}}ncrona.
Assim, a RUM {\'e} capaz de detectar problemas de usabilidade e
padr{\~o}es de comportamento para o usu{\'a}rio ativo, enquanto
ele navega na aplica{\c{c}}{\~a}o. A fim de facilitar a
implanta{\c{c}}{\~a}o, a RUM fornece um toolkit que permite
{\`a} aplica{\c{c}}{\~a}o consumir informa{\c{c}}{\~o}es
sobre o comportamento do usu{\'a}rio. Usando o toolkit, os
desenvolvedores podem codificar adapta{\c{c}}{\~o}es que
s{\~a}o automaticamente disparadas em resposta aos dados
fornecidos pelo toolkit. Experimentos foram realizados em
diferentes web sites para demonstrar a efici{\^e}ncia da
abordagem em apoiar adapta{\c{c}}{\~o}es na interface que
aprimoram a experi{\^e}ncia do usu{\'a}rio. ABSTRACT: Currently,
there are more than 1 billion websites available. In this huge
hyperspace, there are many websites that provide exactly the same
content or service. Therefore, when the user does not find what
she is looking for easily or she faces difficulties during the
interaction, she tends to search for another website. In order to
fullfil the needs and preferences of todays web users, adaptive
websites have been proposed. Existing adaptation approaches
usually adapt the content of pages according to the user interest.
However, the adaptation of the interface structure in order to
meet user needs and preferences is still incipient. In this
thesis, an approach is proposed to analyze the user behavior of
Web applications during navigation, exploring the mining of client
logs, called RUM (Real-time Usage Mining). In this approach, user
actions are collected in the applications interface and processed
synchronously. Thus, RUM is able to detect usability problems and
behavioral patterns for the current application user, while she is
browsing the application. In order to facilitate its deployment,
RUM provides a toolkit which allows the application to consume
information about the user behavior. By using this toolkit,
developers are able to code adaptations that are automatically
triggered in response to the data provided by the toolkit.
Experiments were conducted on different websites to demonstrate
the efficiency of the approach in order to support interface
adaptations that improve the user experience.",
committee = "Vijaykumar, Nandamudi Lankalapalli (presidente) and Santos, Rafael
Duarte Coelho dos (orientador) and Baldochi J{\'u}nior,
La{\'e}rcio Augusto (orientador) and Ferreira, Karine Reis and
Pimentel, Maria da Gra{\c{c}}a Campos and Silva, Tiago Silva da",
englishtitle = "An approach for mining client logs to support the construction of
adaptive web applications",
language = "pt",
pages = "145",
ibi = "8JMKD3MGP3W34P/3PB998B",
url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3PB998B",
targetfile = "publicacao.pdf",
urlaccessdate = "02 maio 2024"
}