Abstract: Computer systems, methods and computer readable media storing instructions, for providing news item recommendations are disclosed. An example system includes one or more digital memories having stored therein metadata for a plurality of news items and click data corresponding to user interactions with the plurality of news items, and a processor. The processor is configured to: determine a user profile for a user, the user profile including indications of news items previously clicked on by the user; select candidate news items for recommendation from (a) said news items based upon respective similarity distances to news items included in the user profile or (b) news items included in other user profiles that are identified based upon their respective similarity distances to the user profiles; and score the candidate news items using, at least in part, a temporal aspect of the candidate news items.

Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection in a power system. The method includes receiving, by a processor-device, a plurality of measurements from a plurality of meters throughout the power system. The method also includes generating, by the processor-device, temporal causal networks based on pair-wise relationships between the plurality of measurements from the plurality of meters over time. The method additionally includes determining, by the processor-device, invariant relationships for the plurality of meters between the temporal causal networks. The method further includes predicting, by the processor-device, an anomaly from the invariant relationships for the plurality of meters with a residual anomaly threshold. The method also includes disabling one of the plurality of meters that originated the anomaly.

Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection in a power system. The method includes receiving, by a processor-device, a plurality of measurements from a plurality of meters throughout the power system. The method also includes generating, by the processor-device, temporal causal networks based on pair-wise relationships between the plurality of measurements from the plurality of meters over time. The method additionally includes determining, by the processor-device, invariant relationships for the plurality of meters between the temporal causal networks. The method further includes predicting, by the processor-device, an anomaly from the invariant relationships for the plurality of meters with a residual anomaly threshold. The method also includes disabling one of the plurality of meters that originated the anomaly.

Abstract: Computer systems, methods and computer readable media storing instructions, for providing news item recommendations are disclosed. An example system includes one or more digital memories having stored therein metadata for a plurality of news items and click data corresponding to user interactions with the plurality of news items, and a processor. The processor is configured to: determine a user profile for a user, the user profile including indications of news items previously clicked on by the user; select candidate news items for recommendation from (a) said news items based upon respective similarity distances to news items included in the user profile or (b) news items included in other user profiles that are identified based upon their respective similarity distances to the user profiles; and score the candidate news items using, at least in part, a temporal aspect of the candidate news items.