A survey on trust evaluation based on machine learning
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 …
a number of severe issues such as lack of essential evaluation data, demand of big data …
Trustworthy recommender systems
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 …
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 …
making by human or intelligence machines in open collaborative systems. During any given …
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 …
Trustworthiness assessment of users in social reviewing systems
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 …
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
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 …
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
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 …
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.
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 …
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
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 …
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
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 …
posted and shared on the various social networks. Thus, malicious users can purposely …