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Benchmarking on web technologies and a recommender system development for E-commerce
dc.contributor | Meseguer Pallarès, Roc |
dc.contributor.author | De Oliveira Paegle, Anna Carolina |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2013-02-28T19:34:38Z |
dc.date.available | 2013-02-28T19:34:38Z |
dc.date.issued | 2012-12-21 |
dc.identifier.uri | http://hdl.handle.net/2099.1/17455 |
dc.description.abstract | 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. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Economia i organització d'empreses::Comerç electrònic |
dc.subject.lcsh | Benchmarking (Management) |
dc.subject.lcsh | Electronic commerce |
dc.subject.other | E-commerce |
dc.subject.other | Recommender system |
dc.title | Benchmarking on web technologies and a recommender system development for E-commerce |
dc.type | Master thesis |
dc.subject.lemac | Referenciació (Economia) |
dc.subject.lemac | Comerç electrònic |
dc.rights.access | Open Access |
dc.date.updated | 2013-01-09T06:30:57Z |
dc.audience.educationlevel | Estudis de primer/segon cicle |
dc.audience.mediator | Escola d'Enginyeria de Telecomunicació i Aeroespacial de Castelldefels |