Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
18
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 50 publications
(18 citation statements)
references
References 7 publications
0
18
0
Order By: Relevance
“…In particular, the User Splitting technique is used to break down user ratings based on the user's contextual information Wang et al 2019) to the tensor case. In this way, it is obtained a strategy of the introduction of contextual information Modelling.…”
Section: Collaborative-filteringmentioning
confidence: 99%
“…In particular, the User Splitting technique is used to break down user ratings based on the user's contextual information Wang et al 2019) to the tensor case. In this way, it is obtained a strategy of the introduction of contextual information Modelling.…”
Section: Collaborative-filteringmentioning
confidence: 99%
“…This section provides a comprehensive comparison with recent studies 30‐42 related to our approach. This comparison considers the underlying technology, including open data, machine learning, semantic web, and cloud computing, as shown in Table 1.…”
Section: Related Workmentioning
confidence: 99%
“…The GoDaaS still lacks intelligence, such as machine learning or semantic web technologies, to process the OGD. Several studies 32‐34,36,41 have focused on using machine learning technologies, including supervised learning, unsupervised learning, bayesian network, to combine OD to develop an intelligent application, such as recommender system and decision system. By contrast, some studies 30,32,34,35,38,41,42 focus on adopting semantic web technologies, including RDF, RDF schema, OWL, associated with OD to provide specific domain knowledge and promote intelligence of application.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Del Corso et al [6] built an NMF model that change adaptively the function to be minimized at each step. Wang et al [23] proposed an MF model named LOD-MF, which dug out implicit feedback information and applied a hybrid similarity measure to identify the semantically similar neighbors of the target item. Cai et al [2] introduced a novel parameter tuning framework named mrMoulder.…”
Section: Related Workmentioning
confidence: 99%