Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Nícollas Silva"'
Autor:
Thiago Silva, Nícollas Silva, Heitor Werneck, Carlos Mito, Adriano C.M. Pereira, Leonardo Rocha
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Publikováno v:
WebMedia
Recommendation Systems have concerned about the online environment of real-world scenarios where the system should continually learn and predict new recommendations. Current works have handled it as a Multi-Armed Bandit (MAB) problem by proposing par
Autor:
Heitor Werneck, Nícollas Silva, Adriano Pereira, Matheus Carvalho, Alejandro Bellogín, Jorge Martinez-Gil, Fernando Mourão, Leonardo Rocha
Publikováno v:
Information Systems. 108:102019
Publikováno v:
Information Systems. 80:1-12
The success of Web-based applications depends on their ability to convert first-time users into recurring ones. This problem is known as Pure Cold-Start and it refers to the capability of Recommender Systems (RSs) providing useful recommendations to
Publikováno v:
Expert Systems with Applications. 197:116669
Autor:
Heitor Werneck, Nícollas Silva, Matheus Carvalho Viana, Leonardo Rocha, Adriano C. M. Pereira, Fernando Mourão
Publikováno v:
WebMedia
The popularization of Location-based social networks (LBSNs) in last years has provided a lot of improvements in several Recommender Systems to the task of points-of-interest (POI) recommendation. In this paper, we provide an updated view of the POI
Publikováno v:
WebMedia
Location-Based Social Networks (LBSNs) have become important tools for people interested in exploring new places. And, similar to traditional recommendation domains, handling the trade-off between accuracy and diversity is a major challenge to provid
Publikováno v:
WebMedia
The current advances have recognized the online recommendation task as a Multi-Armed Bandit (MAB) problem and proposed several algorithms by combining it with Collaborative Filtering (CF). In general, their effectiveness is related to their practical
Publikováno v:
Revista Eletrônica de Iniciação Científica em Computação; v. 18, n. 3 (2020): Edição Especial: Artigos do 39º Concurso de Trabalhos de Iniciação Científica (CSBC/CTIC)
Sistemas de Recomendação (SsR) são aplicados em diversos cenários, tais como comércio eletrônico e, atualmente, em Redes Sociais Baseadas em Localização para recomendar pontos de interesse (POIs). Para cenário de POIs é necessário consider
Autor:
Nícollas Silva, Igor Campos Moraes, Vinicius H. S. Durelli, Diego Roberto Colombo Dias, Júlio Resende, Leonardo Rocha
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030587987
ICCSA (1)
ICCSA (1)
Online social networks have gone mainstream: millions of users have come to rely on the wide range of services provided by social networks. However, the ease use of social networks for communicating information also makes them particularly vulnerable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::657777a35554dc96d7f3238bb68894ba
https://doi.org/10.1007/978-3-030-58799-4_42
https://doi.org/10.1007/978-3-030-58799-4_42