Our framework relies on the user providing an initial estimate of the depth, where the user marks objects and regions as closer or farther from the camera. We allow the user to mark with monochromatic intensities, as well as a varying color palette from dark to light, serving in the same function as the intensities. […]
A COCKTAIL APPROACH ON PERSONALIZED TRAVEL PACKAGE RECOMMENDATION BASED ON THE TAST MODEL
In this abstract, we first analyze the characteristics of the existing travel packages and develop a tourist-area-season topic (TAST) model. This TAST model can represent travel packages and tourists by different topic distributions, where the topic extraction is conditioned on both the tourists and the intrinsic features (i.e., locations, travel seasons) of the landscapes. Then, […]