公开(公告)号：US20220358398A1

公开(公告)日：2022-11-10

申请号：US17313560

申请日：2021-05-06

Applicant: Microsoft Technology Licensing, LLC

Inventor： Meng MENG ,  Daniel Sairom Krishnan Hewlett ,  Sriram Vasudevan ,  Vitaly Abdrashitov

IPC: G06N20/00 ,  G06K9/62 ,  G06F16/951 ,  G06F16/955 ,  H04L29/08

Abstract: Techniques for incorporating sequence encoders into machine-learned models where the sequence encoders operate on bag of words (BOW) input are provided. Tokens that are associated with online activities of an entity are identified. Machine-learned embeddings that correspond to the tokens are identified. Based on one or more ordering criteria that are independent of the temporal occurrence of the online activities of the entity, an order of the machine-learned embeddings is determined. Based on the order, the machine-learned embeddings are inputted to a sequence encoder that generates output. Based on the output, a machine learned model that includes the sequence encoder generates a score. A content item is selected based on the score. The content item is transmitted over a computer network to a computing device.