Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists

Bibliographic Details
Main Author: Luís Lemos
Publication Date: 2010
Other Authors: Alípio M. Jorge, José Paulo Leal
Format: Book
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/52182
Summary: Social web sites, like Palco Principal (PP), have considerably sized databases with the most varied types of information from user subscription information to user interactions. All that information is susceptible of being processed using data mining algorithms in order to extract knowledge relevant for the business. This document describes the implementation and evaluation of a system that uses data mining techniques, and that has been developed with the specific intent of generating recommendations, namely music recommendations, to users of the PP web site. The implemented system uses collaborative filtering techniques to recommend music additions to a user's playlist. The impact of the deployed system has been evaluated online.
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spelling Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklistsCiência de computadores, Ciências da computação e da informaçãoComputer science, Computer and information sciencesSocial web sites, like Palco Principal (PP), have considerably sized databases with the most varied types of information from user subscription information to user interactions. All that information is susceptible of being processed using data mining algorithms in order to extract knowledge relevant for the business. This document describes the implementation and evaluation of a system that uses data mining techniques, and that has been developed with the specific intent of generating recommendations, namely music recommendations, to users of the PP web site. The implemented system uses collaborative filtering techniques to recommend music additions to a user's playlist. The impact of the deployed system has been evaluated online.20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/52182engLuís LemosAlípio M. JorgeJosé Paulo Lealinfo: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:RCAAP2025-02-27T17:37:30Zoai:repositorio-aberto.up.pt:10216/52182Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:21:02.096278Repositórios 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 Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists
title Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists
spellingShingle Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists
Luís Lemos
Ciência de computadores, Ciências da computação e da informação
Computer science, Computer and information sciences
title_short Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists
title_full Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists
title_fullStr Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists
title_full_unstemmed Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists
title_sort Deployment and evaluation of a usage based collaborative filtering recommendation system with blacklists
author Luís Lemos
author_facet Luís Lemos
Alípio M. Jorge
José Paulo Leal
author_role author
author2 Alípio M. Jorge
José Paulo Leal
author2_role author
author
dc.contributor.author.fl_str_mv Luís Lemos
Alípio M. Jorge
José Paulo Leal
dc.subject.por.fl_str_mv Ciência de computadores, Ciências da computação e da informação
Computer science, Computer and information sciences
topic Ciência de computadores, Ciências da computação e da informação
Computer science, Computer and information sciences
description Social web sites, like Palco Principal (PP), have considerably sized databases with the most varied types of information from user subscription information to user interactions. All that information is susceptible of being processed using data mining algorithms in order to extract knowledge relevant for the business. This document describes the implementation and evaluation of a system that uses data mining techniques, and that has been developed with the specific intent of generating recommendations, namely music recommendations, to users of the PP web site. The implemented system uses collaborative filtering techniques to recommend music additions to a user's playlist. The impact of the deployed system has been evaluated online.
publishDate 2010
dc.date.none.fl_str_mv 2010
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