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        Research and Design of a Grid Based Electronic Commerce Recommendation System 

        Liang,Yueling; Nie,Guihua (Universidad de Talca, 2010)

        Social group recommendation in the tourism domain 

        Christensen, Ingrid Alina; Schiaffino, Silvia Noemi; Armentano, Marcelo Gabriel (Springer, 2016-10)
        Recommender Systems learn users’ preferences and tastes in different domains to suggest potentially interesting items to users. Group Recommender Systems generate recommendations that intend to satisfy a group of users as ...

        Moodplay: Interactive music recommendation based on Artists' mood similarity 

        Andjelkovic, Ivana; Parra, Denis; O'Donovan, John (2019)

        Using topic hierarchies with privileged information to improve context-aware recommender systems 

        Sundermann, Camila Vaccari; Domingues, Marcos Aurelio; Marcacini, Ricardo M.; Rezende, Solange Oliveira (Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática - SBASão Carlos, 2014-10)
        Recommender systems are designed to assist individuals to identify items of interest in a set of options. A context-aware recommender system makes recommendations by incorporating available contextual information into the ...

        A Hybrid Approach for Group Profiling in Recommender Systems 

        Christensen, Ingrid Alina; Schiaffino, Silvia Noemi (Graz University of Technology, 2014-04)
        Recommendation is a significant paradigm for information exploring, which focuses on the recovery of items of potential interest to users. Some activities tend to be social rather than individual, which puts forward the ...

        Exploiting text mining techniques for contextual recommendations 

        Domingues, Marcos Aurelio; Sundermann, Camila Vaccari; Manzato, Marcelo Garcia; Marcacini, Ricardo Marcondes; Rezende, Solange Oliveira (University of WarsawInstitute of Electrical and Electronics Engineers - IEEEWeb Intelligence Consortium - WICAssociation for Computing Machinery - ACMWarsaw, 2014-08)
        Unlike traditional recommender systems, which make recommendations only by using the relation between users and items, a context-aware recommender system makes recommendations by incorporating available contextual information ...

        Recommendation Systems, Information Architecture, and Findability 

        Universidade Estadual Paulista (UNESP) (Pontificia Universidade Catolica Campinas, 2016-09-01)
        The present study discusses briefly the concepts of Information Architecture, Information Findability, and Recommendation Systems. It aims to demonstrate how the use of Recommendation Systems in Information Architecture ...

        A Group Recommendation System for Movies based on MAS 

        Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José (Salamanca University Press, 2016-11)
        Providing recommendations to groups of users has become popular in many applications today. Although several group recommendation techniques exist, the generation of items that satisfy all group members in an even way still ...

        Applying the technology acceptance model to evaluation of recommender systems 

        Armentano, Marcelo Gabriel; Christensen, Ingrid Alina; Schiaffino, Silvia Noemi (Center for Technological Design and Development in Computer Science, 2015-06)
        In general, the study of recommender systems emphasizes the efficiency of techniques to provide accurate recommendations rather than factors influencing users' acceptance of the system; however, accuracy alone cannot account ...

        Introducing the concept of "always–welcome recommendations" 

        Santos Junior, Edson Benedito dos; Costa, Arthur Fortes da; D'Addio, Rafael Martins; Manzato, Marcelo Garcia; Goularte, Rudinei (IEEE Computer SocietyInternational Association for Computer and Information Science - ACISLas Vegas, 2015-06)
        One of the major challenges on Recommender Systems is how to predict users’ preferences regarding contextual constraints in a group. There are situations which a user could be recommended with an appropriate item for one ...
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        Red de Repositorios Latinoamericanos
        + of 2.515.000
        Available publications
        163 Participating institutions
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Membership Login
        Featured collections
        • Latin American Theses
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        • Peruvian Theses
        Latest collections added
        • Argentina
        • Brazil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018