Since traditional survey-based consumption behavior analysis task mainly focus on demographic attributes (Jang et al., 2004;Fodness, 1994), in this paper, we refer to the results obtained with feature METADATA as baseline.
 for baseline features, we use logistic regression to combine all features together, which is a one layer classifier; for the RAW features and LATENT features, we construct a two layer classifier to combine heterogeneous features, i.e., in the first layer, we construct base classifiers using single feature sources, then we build a second layer classifier on top of the first layer classifier which takes the output of base classifiers as input.