Exploiting knowledge graphs in industrial products and services: a survey of key aspects, challenges, and future perspectives

X Li, M Lyu, Z Wang, CH Chen, P Zheng - Computers in Industry, 2021 - Elsevier
The rapid development of information and communication technologies has enabled a value
co-creation paradigm for develo** industrial products and services, where massive …

Cloud services selection: A systematic review and future research directions

N Thakur, A Singh, AL Sangal - Computer Science Review, 2022 - Elsevier
Cloud computing has developed in popularity as a large-scale computing paradigm that
offers a range of computing resources as a service through the internet on a pay-as-you-go …

Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph

M Lyu, X Li, CH Chen - Advanced Engineering Informatics, 2022 - Elsevier
The rapid development of the industrial internet of things (IIoT) enlightened more tools and
techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the …

Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation

N Khan, Z Ma, L Yan, A Ullah - Applied Intelligence, 2023 - Springer
Abstract Knowledge graph embedding (KGE) is effectively exploited in providing precise
and accurate recommendations from many perspectives in different application scenarios …

An elastic recommender process for cloud service recommendation scalability

R Qi, J Zhou, Z Wang, X Song - Concurrency and Computation …, 2022 - Wiley Online Library
Cloud computing services are ubiquitous in society and cloud recommender systems play a
crucial role in intelligently selecting services for cloud users. Currently, recommendations …

Personalised recommendation of smart home products based on convolution neural network

X Luo, J Liu - International Journal of Product Development, 2022 - inderscienceonline.com
In order to solve the problems of high recommendation error and long recommendation time
in traditional personalised recommendation methods for smart home products, a new …

Research on Cloud Computing Technology Graph Analysis

J Ren, D Fu, C Shi, Z Huang, W Zhu… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
As a hot research field this year, cloud computing Involves various technical fields. From the
perspective of the research subject, how to effectively analyze the development trend of …

Recommendation method for fusion of knowledge graph convolutional network

X Jiang, Y Fu, C Dong - EURASIP Journal on Advances in Signal …, 2022 - Springer
In the application of internet of vehicles system, it is particularly important to obtain real-time
and effective vehicle information and provide personalized functional services for vehicle …

Df-Lsh: An Efficient Double Filters Locality Sensitive Hashing for Recommendation Retrieval

Z Shan, D Zhang, Y Lei - Available at SSRN 4568336 - papers.ssrn.com
Locality-sensitive hashing (LSH) is an effective randomized technique to address the
problem of high-dimensional approximate nearest neighbor search. In practice, LSH is …