Up next: retrieval methods for large scale related video suggestion

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C3D: Generic Features for Video Analysis (2014, background): “Over the years various problems like action recognition [2, 31, 40], anomaly detection [24], video retrieval [1] and many more have been proposed.”
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention (2017, background): “Moreover, [3, 4] have proposed hybrid approaches to video recommendation, which combines the video content (topics mined from video metadata, related queries, etc. ) with the co-view information.”
Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest (2015, methodology): “Collaborative ﬁltering [19] using user-generated signals (e.g. co-views, co-clicks) is widely used in commercially deployed recommendation systems such as YouTube related videos [1], [22], [2] and Amazon Related Items [16].”
Online Evaluation for Information Retrieval (2016, background): “Bendersky et al. [2014] also focus on recommendation, but specifically addresses the problem of recommending related videos after”
Learning Spatiotemporal Features with 3D Convolutional Networks (2014, background): “Over the years various problems like action recognition [26], anomaly detection [2], video retrieval [1], event and action detection [30, 17], and many more have been proposed.”