The emerging social media with inherent capabilities seems to be gaining edge over
comprehensiveness, diversity and wisdom, nevertheless its security and trustworthiness …

Group decision-making processes can be supported by group recommender systems that
help groups of users obtain satisfying decision outcomes. These systems integrate a …

Recommender systems (RSs) aim at helping users to effectively retrieve items of their
interests from a large catalogue. For a quite long time, researchers and practitioners have …

With the development of online social media, it attracts increasingly attentions to utilize
social information for recommender systems. Based on the intuition that users are influenced …

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 …

Abstract The rise of Online Social Networks (OSNs) continues to surge in today's modern
era. Millions of users are attracted and joined various OSNs and use them to perform various …

Recommendation plays an increasingly important role in our daily lives. Recommender
systems automatically suggest items to users that might be interesting for them. Recent …

Fake news, a type of yellow journalism or propaganda, consist of false or incorrect
information and have the potential to spread very fast on online social networks. This false …

Trust is context-dependent. In real-world scenarios, people trust each other only in certain
contexts. However, this concept has not been seriously taken into account in most of the …

Contextual factors greatly influence users' musical preferences, so they are beneficial
remarkably to music recommendation and retrieval tasks. However, it still needs to be …