X Yang - Local Environment, 2023 - Taylor & Francis
As the leading country in terms of environmental pollution production, China is experiencing increasing environmental risks. This study explored the types and severity perception of the …
J Li, X Wang, L Yang, P Zhang, D Yang - Applied Intelligence, 2020 - Springer
Because it is very harmful, opinion spam, especially that involving untruthful reviews, has attracted much attention in the last decade. However, the lack of annotations, ie, the ground …
L Benhayoun, MA Le-Dain, H Schiele… - … Quality Management & …, 2024 - Taylor & Francis
To efficiently implement Early Supplier Involvement (ESI) in New Product Development (NPD), literature examined the contribution of its success factors to NPD project …
S Sheibani, H Shakeri, R Sheibani - The Journal of Supercomputing, 2023 - Springer
Collaborative filtering (CF) is the most popular approach for predicting relevant items in recommender systems. However, basic CF suffers from some serious problems including …
L Qiu, S Sai, M Wei - Applied Intelligence, 2022 - Springer
Finding a rumor source is a major issue in the analysis of social networks. In this problem, the rumor source is usually estimated from a given diffusion snapshot. How to estimate the …
X Tao, W Jiang - Applied Soft Computing, 2021 - Elsevier
In order to improve the reliability of alternative ranking and group consensus adaptively, this paper develops an automatically interactive group decision-making (GDM) framework under …
H Long, X Li, XW Liu, W Wang - Applied Intelligence, 2023 - Springer
Dynamic community detection is an important issue in complex network research. Current algorithms are mostly based on the assumption that networks evolve smoothly; furthermore …
S Zhang, N Zhang, N Li, Z Xie, J Gu, J Li - Applied Sciences, 2022 - mdpi.com
Social recommendation has received great attention recently, which uses social information to alleviate the data sparsity problem and the cold-start problem of recommendation …
Y Bai, Q Li, Y Fan, S Liu - Complex & Intelligent Systems, 2021 - Springer
Dense networks are very pervasive in social analytics, biometrics, communication, architecture, etc. Analyzing and visualizing such large-scale networks are significant …