Microsoft Technology Licensing, LLC

Jing Bai

Mao Yang

Qi Zhang

Qi Lu

Jan O Pedersen

Congrui Huang

Meng Ai

Jie Tong

Yujing Wang

Yue-Sheng Liu

Bixiong Xu

Guodong Xing

Methods and apparatuses for implementing customized anomaly detection. A time-series data including a plurality of data points is obtained. Anomaly detection is performed to the time-series data with an anomaly detection model. A feedback associated with an anomaly detection result of at least one data point in the time-series data is received. The anomaly detection model is updated based at least on the feedback through reinforcement learning.

Customized anomaly detection

A new architecture is provided to support a precise information retrieval system on a web scale. The architecture provides algorithms to generate candidates and select the top N results via ranking models (e.g., Semantic ranking models, Aggregation ranking models) to capture term relationships between query and result contents at search-time.

Relevant passage retrieval system

Growing community of inventors

Redmond, WA, United States of America

Jing Bai