A survey on trust evaluation based on machine learning

J Wang, X **g, Z Yan, Y Fu, W Pedrycz… - ACM Computing Surveys …, 2020 - dl.acm.org
Trust evaluation is the process of quantifying trust with attributes that influence trust. It faces
a number of severe issues such as lack of essential evaluation data, demand of big data …

Trustworthy recommender systems

S Wang, X Zhang, Y Wang, F Ricci - ACM Transactions on Intelligent …, 2024 - dl.acm.org
Recommender systems (RSs) aim at hel** users to effectively retrieve items of their
interests from a large catalogue. For a quite long time, researchers and practitioners have …

Decentralized trust management: Risk analysis and trust aggregation

X Fan, L Liu, R Zhang, Q **g, J Bi - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Decentralized trust management is used as a referral benchmark for assisting decision
making by human or intelligence machines in open collaborative systems. During any given …

A survey on trust prediction in online social networks

SM Ghafari, A Beheshti, A Joshi, C Paris… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

Trustworthiness assessment of users in social reviewing systems

C Esposito, V Moscato, G Sperlí - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Social Networks represent a cornerstone of our daily life, where the so-called social
reviewing systems (SRSs) play a key role in our daily lives and are used to access data …

Increasing the effectiveness of procurement decisions: The value of big data in the procurement process

A Moretto, S Ronchi… - International Journal of RF …, 2017 - content.iospress.com
Big data are a commonly discussed topic, and their value in marketing and sales has been
thoroughly investigated. Although some authors have also discussed their relevance to …

Natural language processing for analyzing online customer reviews: A survey, taxonomy, and open research challenges

N Malik, M Bilal - PeerJ Computer Science, 2024 - peerj.com
In recent years, e-commerce platforms have become popular and transformed the way
people buy and sell goods. People are rapidly adopting Internet shop** due to the …

[PDF][PDF] Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence.

A Kumar, A Sharma - Webology, 2017 - webology.org
With the advent of new technology paradigm, SMAC (Social media, Mobile, Analytics and
Cloud) the information network generates an infinite ocean of data spreading faster and …

Post-purchase trust in e-commerce: A theoretical framework and a text mining-based assessment method

Z Ma, Q Gao, Y Chen - International Journal of Human–Computer …, 2023 - Taylor & Francis
Post-purchase trust is formed after an online transaction is completed and the product or
service is experienced. It influences consumers' repurchase intention and the reputation of …

Multi-criteria assessment of user trust in Social Reviewing Systems with subjective logic fusion

C Esposito, A Galli, V Moscato, G Sperlí - Information Fusion, 2022 - Elsevier
By now people's opinions and actions are more and more strongly influenced by what is
posted and shared on the various social networks. Thus, malicious users can purposely …