Benchmarking on web technologies and a recommender system development for E-commerce

Internet has opened a window enabling retailers to sell to anyone, anywhere and at any time. E-commerce has completely changed the way of doing business and in this context appeared the “daily deals” or “group buying” web pages: a business model which attracts millions of customers through the onlin...

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Detalles Bibliográficos
Autor: De Oliveira Paegle, Anna Carolina
Tipo de recurso: tesis de maestría
Fecha de publicación:2012
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099.1/17455
Acceso en línea:https://hdl.handle.net/2099.1/17455
Access Level:acceso abierto
Palabra clave:Benchmarking (Management)
Electronic commerce
E-commerce
Recommender system
Referenciació (Economia)
Comerç electrònic
Àrees temàtiques de la UPC::Economia i organització d'empreses::Comerç electrònic
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spelling Benchmarking on web technologies and a recommender system development for E-commerceDe Oliveira Paegle, Anna CarolinaBenchmarking (Management)Electronic commerceE-commerceRecommender systemReferenciació (Economia)Comerç electrònicÀrees temàtiques de la UPC::Economia i organització d'empreses::Comerç electrònicInternet has opened a window enabling retailers to sell to anyone, anywhere and at any time. E-commerce has completely changed the way of doing business and in this context appeared the “daily deals” or “group buying” web pages: a business model which attracts millions of customers through the online sale of experiences – like a dinner or a trip – or products with a high percentage of discount, possible due to the great number of buyers. Motivated by this context of growth, in this project a benchmarking on web functionalities is done for the main group buying web pages and some general electronic marketplaces. As a result of this benchmarking a web functionality is chosen to be analyzed and developed for an e-commerce deals web: recommender systems. This leads to a second part of this project, where the main techniques to implement a recommendation system are studied and then used to generate a proof of concept for a recommender engine to work in a group buying web environment. The goal of using a recommendation system in this environment is to make the right information arrive to the right costumers. Recommender systems are valuable both for users and businesses. From a consumer perspective, they may help the users to manage the information overload of the e-commerce world. From a corporate point of view, they may contribute to the cross-sell and upsell of products. In this project, an item-based collaborative filtering approach is used to generate the recommender engine for the group buying web environment. After the model is designed, a proof of concept focused in the recommender core is implemented. At the end, some evaluation techniques for the recommender system are described.Universitat Politècnica de CatalunyaMeseguer Pallarès, Roc20122012-12-2120132013-02-28master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2099.1/17455reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-ShareAlike 3.0 Spainhttp://creativecommons.org/licenses/by-nc-sa/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2099.1/174552026-05-27T15:37:01Z
dc.title.none.fl_str_mv Benchmarking on web technologies and a recommender system development for E-commerce
title Benchmarking on web technologies and a recommender system development for E-commerce
spellingShingle Benchmarking on web technologies and a recommender system development for E-commerce
De Oliveira Paegle, Anna Carolina
Benchmarking (Management)
Electronic commerce
E-commerce
Recommender system
Referenciació (Economia)
Comerç electrònic
Àrees temàtiques de la UPC::Economia i organització d'empreses::Comerç electrònic
title_short Benchmarking on web technologies and a recommender system development for E-commerce
title_full Benchmarking on web technologies and a recommender system development for E-commerce
title_fullStr Benchmarking on web technologies and a recommender system development for E-commerce
title_full_unstemmed Benchmarking on web technologies and a recommender system development for E-commerce
title_sort Benchmarking on web technologies and a recommender system development for E-commerce
dc.creator.none.fl_str_mv De Oliveira Paegle, Anna Carolina
author De Oliveira Paegle, Anna Carolina
author_facet De Oliveira Paegle, Anna Carolina
author_role author
dc.contributor.none.fl_str_mv Meseguer Pallarès, Roc
dc.subject.none.fl_str_mv Benchmarking (Management)
Electronic commerce
E-commerce
Recommender system
Referenciació (Economia)
Comerç electrònic
Àrees temàtiques de la UPC::Economia i organització d'empreses::Comerç electrònic
topic Benchmarking (Management)
Electronic commerce
E-commerce
Recommender system
Referenciació (Economia)
Comerç electrònic
Àrees temàtiques de la UPC::Economia i organització d'empreses::Comerç electrònic
description Internet has opened a window enabling retailers to sell to anyone, anywhere and at any time. E-commerce has completely changed the way of doing business and in this context appeared the “daily deals” or “group buying” web pages: a business model which attracts millions of customers through the online sale of experiences – like a dinner or a trip – or products with a high percentage of discount, possible due to the great number of buyers. Motivated by this context of growth, in this project a benchmarking on web functionalities is done for the main group buying web pages and some general electronic marketplaces. As a result of this benchmarking a web functionality is chosen to be analyzed and developed for an e-commerce deals web: recommender systems. This leads to a second part of this project, where the main techniques to implement a recommendation system are studied and then used to generate a proof of concept for a recommender engine to work in a group buying web environment. The goal of using a recommendation system in this environment is to make the right information arrive to the right costumers. Recommender systems are valuable both for users and businesses. From a consumer perspective, they may help the users to manage the information overload of the e-commerce world. From a corporate point of view, they may contribute to the cross-sell and upsell of products. In this project, an item-based collaborative filtering approach is used to generate the recommender engine for the group buying web environment. After the model is designed, a proof of concept focused in the recommender core is implemented. At the end, some evaluation techniques for the recommender system are described.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-12-21
2013
2013-02-28
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2099.1/17455
url https://hdl.handle.net/2099.1/17455
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 3.0 Spain
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 3.0 Spain
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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