A data mining deep learning model for Learning to Rank article popularity in information retrieval.
A dataset of 20,000 articles is given, each with a feature vector of 20 descriptors and an associated label representing the numbe rof shares of this article in a week. Each group of articles is marked by a certian query, and the main goal is to design a model that will rank articles in a future given query data.