Abstract: System logs are processed to identify and report anomalies in execution of processes of a log-generating system such as a data storage system. Log messages of system logs are vectorized to generate log-message vectors; long short-term memory (LSTM) neural network processing is applied to the log-message vectors to generate an LSTM output sequence representing a production flow of the processes; and second-level neural network processing is applied to a combination of the LSTM output sequence and a training sequence to generate an analysis sequence containing a representation of anomalies in the production flow of the processes, where the training sequence is generated from a non-anomalous training flow. An anomaly report is generated and provided to a report consumer for taking further action with respect to the anomalies represented in the analysis sequence.

Abstract: System logs are processed to identify and report anomalies in execution of processes of a log-generating system such as a data storage system. Log messages of system logs are vectorized to generate log-message vectors; long short-term memory (LSTM) neural network processing is applied to the log-message vectors to generate an LSTM output sequence representing a production flow of the processes; and second-level neural network processing is applied to a combination of the LSTM output sequence and a training sequence to generate an analysis sequence containing a representation of anomalies in the production flow of the processes, where the training sequence is generated from a non-anomalous training flow. An anomaly report is generated and provided to a report consumer for taking further action with respect to the anomalies represented in the analysis sequence.

Abstract: Systems and methods arc provided herein for generating summaries of unconsumed portions of an ordered series of media assets, customized for multiple users. A media guidance application may determine that a given media asset of an ordered series is to be collectively consumed by a first user and a second user. A first portion of an ordered series, that both the first user and the second user have not yet consumed, is identified together with a second portion of the ordered series that the first user has consumed but the second user has not yet consumed. A custom summary including a detailed summary of the first portion (e.g., a two minute summary) and less detailed summary of the second portion (e.g., a one minute summary) is generated.

Abstract: Systems and methods are provided herein for generating summaries of unconsumed portions of an ordered series of media assets, customized for multiple users. A media guidance application may determine that a given media asset of an ordered series is to be collectively consumed by a first user and a second user. A first portion of an ordered series, that both the first user and the second user have not yet consumed, is identified together with a second portion of the ordered series that the first user has consumed but the second user has not yet consumed. A custom summary including a detailed summary of the first portion (e.g., a two minute summary) and less detailed summary of the second portion (e.g., a one minute summary) is generated.

Abstract: Systems and methods are provided herein for generating summaries of unconsumed portions of an ordered series of media assets, customized for multiple users. A media guidance application may determine that a given media asset of an ordered series is to be collectively consumed by a first user and a second user. A first portion of an ordered series, that both the first user and the second user have not yet consumed, is identified together with a second portion of the ordered series that the first user has consumed but the second user has not yet consumed. A custom summary including a detailed summary of the first portion (e.g., a two minute summary) and less detailed summary of the second portion (e.g., a one minute summary) is generated.