This paper investigates the design and evaluation of a personalized Recommender System (RS) using implicit social trust from Online Social Networks (OSNs), particularly to solve new …
X Hu, S Liu, Y Zhang, G Zhao, C Jiang - Knowledge-Based Systems, 2019 - Elsevier
The identification of top persuaders from social networking websites is increasingly attracting attention because they can significantly affect consumers' purchasing decisions in …
In the current scenario, students remain in dilemma to choose right career path in their lives. Many students have chosen their career path without receiving proper guidance from …
S Kundu, SK Pal - Information Sciences, 2015 - Elsevier
Social network data has been modeled with several approaches, including Sociogram and Sociomatrices, which are popular and comprehensive. Similar to these we have developed …
C Yin, J Wang, JH Park - Neurocomputing, 2017 - Elsevier
Personal recommendation technology is becoming a useful and popular solution to solve the problem of information overload with the popularity of big data cloud services. But most …
SM Chen, Y Randyanto, SH Cheng - Information Sciences, 2016 - Elsevier
In this paper, we propose fuzzy queries processing techniques based on the proposed intuitionistic fuzzy social relational network (IFSRN) model which contain positive …
Today, the trust has turned into one of the most beneficial solutions to improve recommender systems, especially in the collaborative filtering method. However, trust statements suffer …
LF Lin, YM Li, JL Li, WC Chiang - Information Systems, 2023 - Elsevier
People suffering from mental health difficulty need someone's listening and advice, but there are not enough human resources to provide support. In this research, we aim to propose a …