[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …
which the way individuals communicate with one another. People trust social networks …
Social recommendation with implicit social influence
Social influence is essential to social recommendation. Current influence-based social
recommendation focuses on the explicit influence on observed social links. However, in real …
recommendation focuses on the explicit influence on observed social links. However, in real …
Efficiency analysis of machine learning intelligent investment based on K-means algorithm
L Li, J Wang, X Li - Ieee Access, 2020 - ieeexplore.ieee.org
With the rapid development of technologies such as big data, intelligent data analysis and
cloud computing, the application of Internet financial technology has become more and …
cloud computing, the application of Internet financial technology has become more and …
Detecting malicious reviews and users affecting social reviewing systems: A survey
The proliferation of attacks on On-line Social Networks (OSNs) has imposed particular
attention by providers and users. This has an even higher importance for Social Reviewing …
attention by providers and users. This has an even higher importance for Social Reviewing …
Graph collaborative filtering based on dual-message propagation mechanism
The recommender system is a popular research topic in the past decades, and various
models have been proposed. Among them, collaborative filtering (CF) is one of the most …
models have been proposed. Among them, collaborative filtering (CF) is one of the most …
Bayesian personalized ranking based on multiple-layer neighborhoods
Recommender systems are widely used on the Internet as tools for data analysis,
processing and discovery. Traditional recommendation algorithms mostly exploit rating …
processing and discovery. Traditional recommendation algorithms mostly exploit rating …
Deep spatial–temporal sequence modeling for multi-step passenger demand prediction
Supply–demand imbalance poses significant challenges to transportation systems such as
taxis and shared vehicles (cars and bikes) and leads to excessive delays, income loss, and …
taxis and shared vehicles (cars and bikes) and leads to excessive delays, income loss, and …
Quaternion-based knowledge graph neural network for social recommendation
C Wang, L Li, H Zhang, D Li - Knowledge-Based Systems, 2022 - Elsevier
In recent years, the surge in the number of users in recommender systems has brought
unprecedented opportunities and challenges to research on recommender systems. The …
unprecedented opportunities and challenges to research on recommender systems. The …
[PDF][PDF] Deep Learning Enabled Social Media Recommendation Based on User Comments.
K Saraswathi, V Mohanraj, Y Suresh… - … Systems Science & …, 2023 - cdn.techscience.cn
Nowadays, review systems have been developed with social media Recommendation
systems (RS). Although research on RS social media is increasing year by year, the …
systems (RS). Although research on RS social media is increasing year by year, the …
[HTML][HTML] NI-Louvain: A novel algorithm to detect overlapping communities with influence analysis
Community detection is an important area of research in social media mining. Numerous
algorithms have been developed to detect disjoint, overlapping, and dynamic communities …
algorithms have been developed to detect disjoint, overlapping, and dynamic communities …