Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Diego Monti"'
Publikováno v:
Information, Vol 11, Iss 4, p 179 (2020)
Intelligent agents have the potential to understand personality traits of human beings because of their every day interaction with us. The assessment of our psychological traits is a useful tool when we require them to simulate empathy. Since the cre
Externí odkaz:
https://doaj.org/article/7c9212032c4e45489e7fbb611cdac866
Publikováno v:
Information, Vol 10, Iss 5, p 174 (2019)
Recommender systems have gained a lot of popularity due to their large adoption in various industries such as entertainment and tourism. Numerous research efforts have focused on formulating and advancing state-of-the-art of systems that recommend th
Externí odkaz:
https://doaj.org/article/d8cf0326688a49d89b936f313a9ad701
Publikováno v:
Expert Systems with Applications
Expert Systems with Applications, Elsevier, 2020, 151, pp.113235-. ⟨10.1016/j.eswa.2020.113235⟩
Expert Systems with Applications, Elsevier, 2020, 151, pp.113235-. ⟨10.1016/j.eswa.2020.113235⟩
Knowledge graphs have shown to be highly beneficial to recommender systems, providing an ideal data structure to generate hybrid recommendations using both content-based and collaborative filtering. Most knowledge-aware recommender systems are based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::184fa21b1145b5252f266df0a971a76f
https://hal.archives-ouvertes.fr/hal-03489886
https://hal.archives-ouvertes.fr/hal-03489886
Since the first years of the 90s, recommender systems have emerged as effective tools for automatically selecting items according to user preferences. Traditional recommenders rely on the relevance assessments that users express using a single rating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f42f0c3ddbb3284d8685086a208bd223
http://hdl.handle.net/11583/2834946
http://hdl.handle.net/11583/2834946
Publikováno v:
SAC
Micro-influencers have triggered the interest of commercial brands, public administrations, and other stakeholders because of their demonstrated capability of sensitizing people within their close reach. However, due to their lower visibility in soci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7608e9d991d84a68e6d061582bab8a8d
http://hdl.handle.net/11583/2773692
http://hdl.handle.net/11583/2773692
Publikováno v:
Information
Volume 10
Issue 5
Information, Vol 10, Iss 5, p 174 (2019)
Volume 10
Issue 5
Information, Vol 10, Iss 5, p 174 (2019)
Recommender systems have gained a lot of popularity due to their large adoption in various industries such as entertainment and tourism. Numerous research efforts have focused on formulating and advancing state-of-the-art of systems that recommend th
Publikováno v:
Information
Volume 11
Issue 4
Information, Vol 11, Iss 4, p 179 (2020)
Volume 11
Issue 4
Information, Vol 11, Iss 4, p 179 (2020)
Intelligent agents have the potential to understand personality traits of human beings because of their every day interaction with us. The assessment of our psychological traits is a useful tool when we require them to simulate empathy. Since the cre
Publikováno v:
Information; Volume 9; Issue 5; Pages: 127
We are what we do, like, and say. Numerous research efforts have been pushed towards the automatic assessment of personality dimensions relying on a set of information gathered from social media platforms such as list of friends, interests of musics
Autor:
Elena Cabrio, Pasquale Lisena, Giuseppe Rizzo, Michael Fell, Enrico Palumbo, Diego Monti, Raphaël Troncy, Maurizio Morisio
Publikováno v:
RecSys Challenge
This paper describes the approach of the D2KLab team to the RecSys Challenge 2018 that focuses on the task of playlist completion. We propose an ensemble strategy of different recurrent neural networks leveraging pre-trained embeddings representing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de7780166d8d9c8d13666ebee6d3ca7f
Autor:
Lucie Kulhankova, Diego Montiel González, Eric Bindels, Daniel Kling, Manfred Kayser, Eskeatnaf Mulugeta
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
A method is developed by combining scRNA-sequencing and a bioinformatics pipeline to separate individuals in multi-person biological mixtures, and, subsequently, determine the ancestry and sex of the separated individuals and genetically identify the
Externí odkaz:
https://doaj.org/article/0b1b07f42efd4c008c9aa0559869b156