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pro vyhledávání: '"Marden B"'
Publikováno v:
In Expert Systems With Applications 15 June 2015 42(10):4733-4742
Autor:
Macedo, Diego R., Campos, Marden B.
A concentração de indígenas vivendo em áreas urbanas no Brasil é um assunto de grande importância, visto que em 2010 39% dos declarados indígenas moravam nestas áreas, mas por outro lado, este fenômeno é pouco estudado do ponto de vista dem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16c4ca7c870f7eb41a6bbd4e5ea14308
Publikováno v:
Expert Systems with Applications. 42:4733-4742
We propose an transformation from CF problem to typical supervised learning.The proposed transformation is straightforward and domain-independent.Our transformation greatly outperforms classical collaborative filtering techniques. Collaborative Filte
Akademický článek
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Autor:
Campos, Marden B., Macedo, Diego R.
Os povos indígenas estão entre os segmentos sociais mais marginalizados nos países onde se fazem presentes. Aliado a isso, há uma grande dificuldade de obtenção de dados representativos do contingente indígena nos países latinoamericanos, o q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1db60b6c68c74a33d2dba7e53d9f3af
Publikováno v:
Anais do 12. Congresso Brasileiro de Inteligência Computacional.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319163536
ECIR
ECIR
Active Learning (AL) has been applied to Recommender Systems so as to elicit ratings from new users, namely Rating Elicitation for Cold Start Purposes. In most e-commerce systems, it is common to have the purchase information, but not the preference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::788b8d39bdec5ae88566701f0ea5d901
https://doi.org/10.1007/978-3-319-16354-3_32
https://doi.org/10.1007/978-3-319-16354-3_32
Akademický článek
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Autor:
Campos, Marden B., Macedo, Diego R.
De país historicamente receptor de migrantes internacionais, o Brasil passou nas últimas décadas do século passado, a enviar um contingente significativo de população para o resto do mundo. Ao longo do tempo, este processo acarretou no estabele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e243cd1815a008bad858284c0aa7447
Publikováno v:
2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.
Context-Aware Recommender Systems (CARS) have emerged as a different way of providing more precise and interesting recommendations through the use of data about the context in which consumers buy goods and/or services. CARS consider not only the rati