Mixed-input second-hand car price estimation model based on scraped data

Bibliographic Details
Main Author: Fiorani, Matteo
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/134276
Summary: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
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spelling Mixed-input second-hand car price estimation model based on scraped dataData ScienceArtificial IntelligenceMachine LearningDeep LearningConvolutional Neural networkScrapingUsed CarsDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceThe number of second-hand cars is growing year by year. More and more people prefer to buy a second-hand car rather than a new one due to the increasing cost of new cars and their fast devaluation in price. Consequently, there has also been an increase in online marketplaces for peerto- peer (P2P) second-hand cars trades. A robust price estimation is needed for both dealers, to have a good idea on how to price their cars, and buyers, to understand whether a listing is overpriced or not. Price estimation for second-hand cars has been, to my knowledge, so far only explored with numerical and categorical features such as mileage driven, brand or production year. An approach that also uses image data has yet to be developed. This work aims to investigate the use of a multi-input price estimation model for second-hand cars taking advantage of a convolutional neural network (CNN), to extract features from car images, combined with an artificial neural network (ANN), dealing with the categorical-numerical features, and assess whether this method improves accuracy in price estimation over more traditional single-input methods. To train and evaluate the model, a dataset of second-hand car images and textual features is scraped from a marketplace and curated such that more than 700 images can be used for the training.Castelli, MauroRUNFiorani, Matteo2022-03-11T14:01:52Z2022-01-272022-01-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134276TID:202961125enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:00:05Zoai:run.unl.pt:10362/134276Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:30:59.361041Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Mixed-input second-hand car price estimation model based on scraped data
title Mixed-input second-hand car price estimation model based on scraped data
spellingShingle Mixed-input second-hand car price estimation model based on scraped data
Fiorani, Matteo
Data Science
Artificial Intelligence
Machine Learning
Deep Learning
Convolutional Neural network
Scraping
Used Cars
title_short Mixed-input second-hand car price estimation model based on scraped data
title_full Mixed-input second-hand car price estimation model based on scraped data
title_fullStr Mixed-input second-hand car price estimation model based on scraped data
title_full_unstemmed Mixed-input second-hand car price estimation model based on scraped data
title_sort Mixed-input second-hand car price estimation model based on scraped data
author Fiorani, Matteo
author_facet Fiorani, Matteo
author_role author
dc.contributor.none.fl_str_mv Castelli, Mauro
RUN
dc.contributor.author.fl_str_mv Fiorani, Matteo
dc.subject.por.fl_str_mv Data Science
Artificial Intelligence
Machine Learning
Deep Learning
Convolutional Neural network
Scraping
Used Cars
topic Data Science
Artificial Intelligence
Machine Learning
Deep Learning
Convolutional Neural network
Scraping
Used Cars
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
publishDate 2022
dc.date.none.fl_str_mv 2022-03-11T14:01:52Z
2022-01-27
2022-01-27T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/134276
TID:202961125
url http://hdl.handle.net/10362/134276
identifier_str_mv TID:202961125
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596750023098368

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