A survey on trust prediction in online social networks
Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …
should share or from whom we should accept information. There are several applications for …
Towards artificial intelligence enabled financial crime detection
Z Rouhollahi - arxiv preprint arxiv:2105.10866, 2021 - arxiv.org
Recently, financial institutes have been dealing with an increase in financial crimes. In this
context, financial services firms started to improve their vigilance and use new technologies …
context, financial services firms started to improve their vigilance and use new technologies …
Towards a deep attention-based sequential recommender system
With the availability of a large amount of user-generated online data, discovering users'
sequential behaviour has become an integral part of a Sequential Recommender System …
sequential behaviour has become an integral part of a Sequential Recommender System …
Named entity recognition and emotional viewpoint monitoring in online news using artificial intelligence
M Tu - PeerJ Computer Science, 2024 - peerj.com
Network news is an important way for netizens to get social information. Massive news
information hinders netizens to get key information. Named entity recognition technology …
information hinders netizens to get key information. Named entity recognition technology …
Trust prediction for online social networks with integrated time-aware similarity
Online social networks gain increasing popularity in recent years. In online social networks,
trust prediction is significant for recommendations of high reputation users as well as in …
trust prediction is significant for recommendations of high reputation users as well as in …
Learning Complex Users' Preferences for Recommender Systems
S Yakhchi - arxiv preprint arxiv:2107.01529, 2021 - arxiv.org
Recommender systems (RSs) have emerged as very useful tools to help customers with
their decision-making process, find items of their interest, and alleviate the information …
their decision-making process, find items of their interest, and alleviate the information …
Misinformation containment using nlp and machine learning: Why the problem is still unsolved
VS Pendyala - Deep Learning Research Applications for Natural …, 2023 - igi-global.com
Despite the increased attention and substantial research into it claiming outstanding
successes, the problem of misinformation containment has only been growing in the recent …
successes, the problem of misinformation containment has only been growing in the recent …
Intelligent vector-based customer segmentation in the banking industry
S Mousaeirad - arxiv preprint arxiv:2012.11876, 2020 - arxiv.org
Customer Segmentation is the process of dividing customers into groups based on common
characteristics. An intelligent Customer Segmentation will not only enable an organization to …
characteristics. An intelligent Customer Segmentation will not only enable an organization to …
A dynamic deep trust prediction approach for online social networks
Trust can be employed for finding reliable information in Online Social Networks (OSNs).
Since users in OSNs may intentionally change their behavior over time (in some cases for …
Since users in OSNs may intentionally change their behavior over time (in some cases for …
Exploring Trust Dynamics in Online Social Networks: A Social Network Analysis Perspective
This study explores trust dynamics within online social networks, blending social science
theories with advanced machine-learning (ML) techniques. We examine trust's multifaceted …
theories with advanced machine-learning (ML) techniques. We examine trust's multifaceted …