Deep Learning in Advertisement
I'll present our work on training deep learning models in Click-through rate (CTR) forecasting in online advertisement. Specifically, I would like to describe a context-aware convolutional neural network, to capture the highly non-linear and local information of the historical time series, as well as the underlying association between the time series of CTR and the context information. Extensive experiments on real advertiser data confirm the effectiveness of the proposed approach.
Miao is a research scientist from Yahoo Research, working on Native/Display/Search Ads Recommendation and Forecasting, leading the corporate traffic and revenue forecasting projects. He has strong interdisciplinary background in Statistics, Machine Learning and Data Mining, with wide applications in biomedical science and internet technology. Before joining Yahoo, he obtained a PhD / MS in statistics from University of Virginia, and a BS in statistics from Zhejiang University.