Buscar
Mostrando ítems 1-10 de 153
Using topic hierarchies with privileged information to improve context-aware recommender systems
(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 ...
URecommender: An API for Recommendation SystemsURecommender: Uma API para Sistemas de Recomendacão de Conteúdo
(2020-06-01)
Recommendation systems are intended to assist users in dealing with information overload by providing a content filtering mechanism. Content filtering is based on the user's preferences and interests. Current recommendation ...
URecommender: An API for Recommendation Systems
(Ieee, 2020-01-01)
Recommendation systems are intended to assist users in dealing with information overload by providing a content filtering mechanism. Content filtering is based on the user's preferences and interests. Current recommendation ...
Exploiting text mining techniques for contextual recommendations
(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 ...
Introducing the concept of "always–welcome recommendations"
(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 ...
Ensemble learning in recommender systems: combining multiple user interactions for ranking personalization
(Universidade Federal da Paraíba - UFPBNúcleo de Pesquisa e Extensão em Aplicações de Vídeo Digital - LAViDSociedade Brasileira de Computação - SBCJoão Pessoa, 2014-11)
In this paper, we propose a technique that uses multimodal interactions of users to generate a more accurate list of recommendations optimized for the user . Our approach is a response to the actual scenario on the Web ...
Using contextual information from topic hierarchies to improve context-aware recommender systems
(International Association of Pattern Recognition – IAPRLinköping UniversityLund UniversityUppsala UniversityInstitute of Electrical and Electronics Engineers - IEEEStockholm, 2014-08)
Unlike the traditional recommender systems, that make recommendations only by using the relation between user and item, a context-aware recommender system makes recommendations by incorporating available contextual information ...
Exploiting different users' interactions for profiles enrichment in recommender systems
(Association for Computing Machinery - ACMUniversity of PisaScuola Superiore Sant’AnnaPisa, 2016-04)
User profiling is an important aspect of recommender systems. It models users' preferences and is used to assess an item's relevance to a particular user. In this paper we propose a profiling approach which describes and ...
A platform for the recommendation of points of interest in brazilian cities: architecture and case study
(Universidade Federal do Amazonas – UFAMSociedade Brasileira de Computação – SBCManaus, 2015-10)
The tourism sector in Brazil has grown considerably in recent years. Despite this growth, the sector still presents several problems such as the lack of information in Portuguese and in other languages for Brazilian and ...
Combining privileged information to improve context-aware recommender systems
(Universidade Federal do Rio Grande do Norte – UFRNSociedade Brasileira de Computação – SBCNatal, 2015-11)
A recommender system is an information filtering technology which can be used to predict preference ratings of items (products, services, movies, etc) and/or to output a ranking of items that are likely to be of interest ...