公开(公告)号：US20190197398A1

公开(公告)日：2019-06-27

申请号：US15855912

申请日：2017-12-27

申请人： Microsoft Technology Licensing, LLC

发明人： Mohsen Jamali ,  Hamed Firooz ,  Samaneh Moghaddam ,  Mahdi Shafiei

IPC分类号： G06N3/08

CPC分类号： G06N3/08 ,  G06Q10/1053

摘要： Techniques for learning and leveraging embeddings for response prediction are provided. Based on training data, an embedding for each attribute value of multiple content items is generated, an embedding for each attribute value of multiple entities is generated, weights of a first neural network for content items is generated, and weights of a second neural network for requesting entities is generated. In response to receiving a request, a particular content item is identified. A first set of embeddings for the particular content item is identified and input into the first neural network to generate first output. A particular requesting entity that initiated the content request is identified. A second set of embeddings for the particular requesting entity is identified and input into the second neural network to generate second output. The particular content item is selected based on the first output and the second output.