Inferring binary trust relationships in Web-based social networks

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Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning (2017, background): “Trust-aware based (TA) recommender systems Golbeck and Hendler (2006) define trust in a person as a commitment to an action based on a belief that the future actions of that personwill lead to a good outcome.”
Trustworthiness Management in the Social Internet of Things (2014, background): “The main properties of trust are well defined and many works contribute to describe them ( [36], [37], [38], [39] and [40]).”
Do social explanations work?: studying and modeling the effects of social explanations in recommender systems (2013, background): “cial connection information have been proposed to support collaborating filtering algorithms that use social information [12,15], focusing on preferences in users’ immediate social networks [10, 20] and computing trust between people in networks [9] to improve recommendations.”
Recommender Systems (2016, unknown): “In fact, trust relationships can often be computationally inferred from such Web-based social networks [226].”
Measuring user influence on Twitter: A survey (2015, background): “Knowing the inﬂuence of users and being able to predict it can be useful for many applications, such as viral marketing [34,64,110], information propagation [49,45], searching [1], expertise recommendation [121], social customer relationship management [78], percolation theory [91], etc.”