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Effective and efficient video retrieval has become a pressing need in the "big video" era and how to deal with multi-concept queries is a central component. The objective of this work is to provide a principled model for calculating the ranking scores of video in response to multiple concepts. However, it has been long overlooked and simply implemented by weighted averaging the corresponding concept detectors' scores. Our approach, which can be considered as a latent ranking SVM, integrates thedoi:10.1109/ism.2016.0132 dblp:conf/ism/MazaheriGS16 fatcat:mjuacchiv5h3lauentz6mpbfuy