Microsoft Technology Licensing, LLC

Aditya Bandi

George Joy

Ravikant Cherukuri

Cheuk Wan William Lau

Laurent Visconti

Ishani Shailesh Parikh

Techniques are provided for ranking time-series including previously detected anomalous fact quantity changes over an associated time interval. Time-series are received, and for each time-series, a normalized fact quantity change is determined, and each time-series is ranked based in part on the normalized fact quantity change. A normalized fact quantity change may be determined by determining a normalization factor over the time interval, and then determining a product of the normalization factor and the absolute value of the fact quantity change of that time interval. Alternatively, a normalized fact quantity change may be the product of the normalization factor, a predetermined order factor, and the absolute value of the fact quantity change. The normalization factor is determined by analyzing the distribution of the fact quantity change over dimension values of the dimension(s) associated with the time-series to determine the number of values in which the fact quantity is concentrated.

Insight ranking based on detected time-series changes

A content item hosted by a content item source (such as a weblog post of a weblog) may receive updates (e.g., comments submitted by users), and may be discussed among users in a chat group of a chat service. The content item source and the chat service may coordinate to notify users of updates to the content item, and to share content regarding the content item. When a user requests to subscribe to updates of the content item, the content item source may invite the user to join a chat group of the chat service created for discussion of the content item. Additionally, updates to the content item received by the content item source may be automatically posted as messages in the chat group, and messages posted in the chat group regarding the content item may be automatically posted as updates to the content item at the content item source.

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Aditya Bandi