Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Tu Minh Phuong"'
Legal text retrieval serves as a key component in a wide range of legal text processing tasks such as legal question answering, legal case entailment, and statute law retrieval. The performance of legal text retrieval depends, to a large extent, on t
Externí odkaz:
http://arxiv.org/abs/2212.13899
Akademický článek
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Publikováno v:
IEEE Access, Vol 7, Pp 86884-86896 (2019)
Recommender systems help users find items they are likely to interact within the near future, such as products to buy in e-commerce or songs to play in music websites. The Traditional recommendation methods make predictions based on long-term user pr
Externí odkaz:
https://doaj.org/article/ea210081e12d433ebf0ebb323a53b508
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04b63a602ed5994b4a4a79015eb3fa96
https://doi.org/10.1109/icassp49357.2023.10096195
https://doi.org/10.1109/icassp49357.2023.10096195
Publikováno v:
In Data & Knowledge Engineering March-May 2015 96-97:19-31
Publikováno v:
Journal of Computer Science and Cybernetics. 37:511-527
When long-term user proles are not available, session-based recommendation methods are used to predict the user's next actions from anonymous sessions-based data. Recent advances in session-based recommendation highlight the necessity of modeling not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1029f6ac184863632da35d045708a81c
https://doi.org/10.15625/1813-9663/37/4/15844
https://doi.org/10.15625/1813-9663/37/4/15844
Autor:
Huy-Hoang Dinh, Hong-Quan Do, Trung-Tung Doan, Cuong Le, Ngo Xuan Bach, Tu Minh Phuong, Viet-Vu Vu
Publikováno v:
KSII Transactions on Internet & Information Systems; Sep2023, Vol. 17 Issue 9, p2505-2528, 24p
Akademický článek
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Publikováno v:
Neurocomputing. 411:247-258
Traditional recommender systems help users find items of interest by modeling long-term user profiles, which consist of items the users interacted with in the past. In many real-life applications, however, informative user profiles are not available.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc6bab266a3f5bb843d5c3eabb22bcf
https://doi.org/10.1016/j.neucom.2020.06.077
https://doi.org/10.1016/j.neucom.2020.06.077
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39c7011c1c589e4197d063d4da29d0fb
https://doi.org/10.1007/978-3-031-19842-7_41
https://doi.org/10.1007/978-3-031-19842-7_41