10. The system of claim 9 , wherein the at least one of the visual classifiers determines respective semantic distributions across the set of images for different ones of the recognized visual content, each of the respective semantic distribution based on an aggregation of the respective visual-based prediction confidence scores for a same one of the recognized visual content for each of the images.
9. A system for inferring gender, comprising: a set of visual classifiers, each for recognizing visual content from a set of images associated with a user, assigning respective visual-based prediction confidence scores for each of the images based the recognized visual-based content, and at least one for generating a visual-based gender prediction of the user based on the respective visual-based prediction confidence scores for each of the images; a set of textual classifiers, each for recognizing textual content from the set of images, assigning respective textual-based prediction confidence scores for each of the images based the recognized textual content, and at least one for generating a visual-based gender prediction of the user based on the respective visual-based prediction confidence scores for each of the images; and a multimodal information fusion device for inferring a gender of a user selectively from the visual-based gender predictions, the textual-based gender predictions, the visual-based prediction confidence scores and the textual-based prediction confidence scores.