Auralist: introducing serendipity into music recommendation

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Factors Affecting Online Impulse Buying: Evidence from Chinese Social Commerce Environment (2018, background): “This SC setting allows consumers to discover useful information that fits their choices [21].”
Diversity, Serendipity, Novelty, and Coverage (2016, background): “…the user's profile [Adamopoulos and Tuzhilin 2014], if the item is connected to a distinct area in a user-item graph [Onuma et al. 2009; Nakatsuji et al. 2010; Zhang et al. 2012], or if the item possesses a mixture of two input items' features [Oku and Hattori 2011] (see next section for details).”
News recommender systems - Survey and roads ahead (2018, background): “[185] for music recommendation – to the news domain and focus on recommending news items that are content-wise dissimilar to the user’s typical latent topics.”
Current challenges and visions in music recommender systems research (2017, background): “discovery of interesting new songs, still contextualized by familiar ones, increases the likelihood of realizing a serendipitous encounter in a playlist [160,193].”