Zobrazeno 1 - 10
of 15
pro vyhledávání: '"QIHAN DU"'
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jan2024, Vol. 18 Issue 1, p1-28, 28p
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo (ICME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::feaa5f56ef3ca88ec974540a908714b3
https://doi.org/10.1109/icme52920.2022.9859663
https://doi.org/10.1109/icme52920.2022.9859663
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d61c4327b6d2a01e8a6460a2fe1b46a6
https://doi.org/10.1109/icassp43922.2022.9747757
https://doi.org/10.1109/icassp43922.2022.9747757
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cec7d31bafc9d320db32b58328c807f7
https://doi.org/10.1109/icassp43922.2022.9747580
https://doi.org/10.1109/icassp43922.2022.9747580
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfc150c0b4e1b43c55a7e3e8f48f33f6
https://doi.org/10.1109/icassp43922.2022.9746567
https://doi.org/10.1109/icassp43922.2022.9746567
Publikováno v:
ICASSP
Cross-domain recommendation (CDR) technology is proved to be an effective way to tackle the difficulties encountered by traditional recommender technology (e.g. CF), such as data sparsity and cold-start. However, on account of the heterogeneity, it i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4c8abb32223b0d5d9917b8ef4c966c0
https://doi.org/10.1109/icassp39728.2021.9413924
https://doi.org/10.1109/icassp39728.2021.9413924
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jan2024, Vol. 18 Issue 1, p1-23, 23p
Publikováno v:
Acta Geologica Sinica (English Edition); Jun2018, Vol. 92 Issue 3, p1053-1062, 10p
Autor:
Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers w
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers w