  In this paper, we propose two methods for tackling the problem of
cross-device matching for online advertising at CIKM Cup 2016. The first method
considers the matching problem as a binary classification task and solve it by
utilizing ensemble learning techniques. The second method defines the matching
problem as a ranking task and effectively solve it with using learning-to-rank
algorithms. The results show that the proposed methods obtain promising
results, in which the ranking-based method outperforms the classification-based
method for the task.
