Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Mingxin Gan"'
Autor:
Mingxin Gan, Kejun Xiao
Publikováno v:
IEEE Access, Vol 7, Pp 111767-111777 (2019)
Click-through rate (CTR) prediction is of great importance in such web applications as recommender systems, web search, and online advertising. Exploring the interest of a user through feature interactions behind massive behaviors of users is essenti
Externí odkaz:
https://doaj.org/article/0f4e131c224049739e531cd104123a1b
Autor:
Mingxin Gan, Hang Zhang
Publikováno v:
Complexity, Vol 2020 (2020)
Personalized recommender systems, as effective approaches for alleviating information overload, have received substantial attention in the last decade. Learning effective latent factors plays the most important role in recommendation methods. Several
Externí odkaz:
https://doaj.org/article/1eaa6aa56fdc4f1f8e5c5ca54b122e41
Publikováno v:
PeerJ, Vol 7, p e7657 (2019)
Chromatin contacts between regulatory elements are of crucial importance for the interpretation of transcriptional regulation and the understanding of disease mechanisms. However, existing computational methods mainly focus on the prediction of inter
Externí odkaz:
https://doaj.org/article/f602b776a37f4a85b89e723a5a9b338e
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 1, p 36 (2021)
In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited. Check-in data and various contextual factors are wid
Externí odkaz:
https://doaj.org/article/8a548ed7f3bd47e3a556eb6f76b79a5a
Autor:
Mingxin Gan, Ling Gao
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 6, p 279 (2019)
Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations. Research has verified that people’s p
Externí odkaz:
https://doaj.org/article/d80ca22e4d064b1c912fb3db41b06730
Autor:
Mingxin Gan
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e114662 (2014)
Personalized recommender systems have been receiving more and more attention in addressing the serious problem of information overload accompanying the rapid evolution of the world-wide-web. Although traditional collaborative filtering approaches bas
Externí odkaz:
https://doaj.org/article/6ff3f720d0a142c1b9ff0ef822ba15a9
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
Advances in high-throughput experimental techniques in the past decade have enabled the explosive increase of omics data, while effective organization, interpretation, and exchange of these data require standard and controlled vocabularies in the dom
Externí odkaz:
https://doaj.org/article/ecbf21c603fc4cdba43a213da3b6594d
Autor:
Jieyu Ren, Mingxin Gan
Publikováno v:
Knowledge and Information Systems. 65:183-206
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f57f4ab2fe5f6d9750c3b0e7e99767ce
https://doi.org/10.1007/s10115-022-01749-7
https://doi.org/10.1007/s10115-022-01749-7
Autor:
Mingxin Gan, Yingxue Ma
Publikováno v:
Soft Computing. 26:6547-6566
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4e8d60e34cbaf47366e2608682db00e
https://doi.org/10.1007/s00500-022-07178-6
https://doi.org/10.1007/s00500-022-07178-6
Publikováno v:
Expert Systems with Applications. 228:120316
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e45ad29de0e9adea4901ec3ed675dd3
https://doi.org/10.1016/j.eswa.2023.120316
https://doi.org/10.1016/j.eswa.2023.120316