Zobrazeno 1 - 10
of 33
pro vyhledávání: '"YANXIANG LING"'
Publikováno v:
IEEE Access, Vol 8, Pp 74205-74215 (2020)
Session-aware recommendation is a special form of sequential recommendation, where users' previous interactions before current session are available. Recently, Recurrent Neural Network (RNN) based models are widely used in sequential recommendation t
Externí odkaz:
https://doaj.org/article/897e2f5ef252486aa1aa14f3812585d0
Publikováno v:
IEEE Access, Vol 8, Pp 120668-120678 (2020)
Session-aware recommendation is a special form of session-based recommendation, where users' historical interactions before the current session are available. Among the existing session-aware recommendation studies, recurrent neural network (RNN) is
Externí odkaz:
https://doaj.org/article/8222decb7abe40808b3113dd35a6455e
Publikováno v:
IEEE Access, Vol 8, Pp 167371-167382 (2020)
Recently, Graph Neural Networks (GNNs) have attracted increasing attention in the field of session-based recommendation, due to its strong ability on capturing complex interactive transitions within sessions. However, existing GNN-based models either
Externí odkaz:
https://doaj.org/article/0f0260f921a340e48948350e4f62618e
Publikováno v:
ACM Transactions on Information Systems. 41:1-30
Recent research has highlighted the importance of mixed-initiative interactions in conversational search. To enable mixed-initiative interactions, information retrieval systems should be able to ask diverse questions, such as information-seeking, cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63e213a5795fe507fbc8acc6f41801fa
https://doi.org/10.1145/3510612
https://doi.org/10.1145/3510612
Publikováno v:
ACM Transactions on Information Systems. 41:1-30
Event representation targets to model the event-reasoning process as a machine-readable format. Previous studies on event representation mostly concentrate on a sole modeling perspective and have not well investigated the scenario-level knowledge, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91789d57d946e0e1b7e62dbf991e3468
https://doi.org/10.1145/3545798
https://doi.org/10.1145/3545798
Publikováno v:
IEEE transactions on neural networks and learning systems.
Event representation aims to transform individual events from a narrative event chain into a set of low-dimensional vectors to help support a series of downstream applications, e.g., similarity differentiation and missing event prediction. Traditiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac68c25b70fc86b4bb0a2bd72fd322cf
https://pubmed.ncbi.nlm.nih.gov/35666789
https://pubmed.ncbi.nlm.nih.gov/35666789
Autor:
JIANMING ZHENG1 zhengjianming12@nudt.edu.cn, FEI CAI1 caifei08@nudt.edu.cn, YANXIANG LING1 lingyanxiang@nudt.edu.cn, HONGHUI CHEN1 chenhonghui@nudt.edu.cn
Publikováno v:
ACM Transactions on Information Systems. Apr2023, Vol. 41 Issue 2, p1-30. 30p.
Publikováno v:
IEEE Access, Vol 8, Pp 167371-167382 (2020)
Recently, Graph Neural Networks (GNNs) have attracted increasing attention in the field of session-based recommendation, due to its strong ability on capturing complex interactive transitions within sessions. However, existing GNN-based models either
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::061e441b232bcd3863c3eabc8489b0ce
https://doi.org/10.1109/access.2020.3023685
https://doi.org/10.1109/access.2020.3023685
Publikováno v:
IEEE Access, Vol 8, Pp 120668-120678 (2020)
Session-aware recommendation is a special form of session-based recommendation, where users' historical interactions before the current session are available. Among the existing session-aware recommendation studies, recurrent neural network (RNN) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::989ea20368636e8dd3839c9edf5dbc3d
https://ieeexplore.ieee.org/document/9130659/
https://ieeexplore.ieee.org/document/9130659/
Publikováno v:
IEEE Access, Vol 8, Pp 74205-74215 (2020)
Session-aware recommendation is a special form of sequential recommendation, where users' previous interactions before current session are available. Recently, Recurrent Neural Network (RNN) based models are widely used in sequential recommendation t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d9a3258d9c56253ecf301cc20afa2f1
https://doi.org/10.1109/access.2020.2984287
https://doi.org/10.1109/access.2020.2984287