Exploiting knowledge graphs in industrial products and services: a survey of key aspects, challenges, and future perspectives
The rapid development of information and communication technologies has enabled a value
co-creation paradigm for develo** industrial products and services, where massive …
co-creation paradigm for develo** industrial products and services, where massive …
Cloud services selection: A systematic review and future research directions
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 …
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
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 …
techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the …
Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation
Abstract Knowledge graph embedding (KGE) is effectively exploited in providing precise
and accurate recommendations from many perspectives in different application scenarios …
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 …
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 …
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 …
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 …
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 …
problem of high-dimensional approximate nearest neighbor search. In practice, LSH is …