Finding meaning on YouTube: Tag recommendation and category discovery

103 citations recorded by the source corpus.

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Explainable Recommendation: A Survey and New Perspectives (2018, background): “, 2010; Tintarev and Masthoff, 2008), or videos (Toderici et al., 2010).”
Interactive machine learning for health informatics: when do we need the human-in-the-loop? (2016, background): “Clustering methods are often subject to other systems, for example, to reduce the possibilities of recommender systems (e.g., Tag-recommender on YouTube videos [27]); clustering of large high-dimensional gene expression data sets has widespread application in -omics [28].”
The Open World of Micro-Videos (2016, background): “An alternative perspective (popular in the multimedia community) is to formulate the problem as a multi-label tag or concept prediction task [23,24,25,26,27].”
Furniture-geek: Understanding fine-grained furniture attributes from freely associated text and tags (2014, background): “Toderici et al. [27] mine category names from a large pool of semi-structured data (user tags) but their main focus is on audiovisual data.”