Abstract: The technology disclosed herein summarizes a document using a dictionary derived from tokens within the document itself. In a particular implementation, a method provides identifying a first document for summarization and inputting the first document into a natural language model. The natural language model is configured to summarize the first document using words from a first dictionary compiled based on tokens from the first document. The method further provides receiving a first summary output by the natural language model after the natural language model summarizes the first document.

Abstract: The technology disclosed herein summarizes a document using a dictionary derived from tokens within the document itself. In a particular implementation, a method provides identifying a first document for summarization and inputting the first document into a natural language model. The natural language model is configured to summarize the first document using words from a first dictionary compiled based on tokens from the first document. The method further provides receiving a first summary output by the natural language model after the natural language model summarizes the first document.

Abstract: Selecting an optimal bitrate range is disclosed. A request for content from a first client is received. An optimal subset of bitrates for the first client is determined. The optimal subset of bitrates for the first client is determined based at least in part on one or more real-time quality measures. A different optimal subset of bitrates is determined for a second client. An indication of the optimal subset of bitrates determined for the first client is provided to the first client. The first client is configured to obtain content according to the indication of the optimal subset of bitrates.

Abstract: The technology disclosed herein improves upon computing systems that summarize original works by using text entailment. In a particular implementation, a method provides, processing a first original work using a text entailment algorithm. The text entailment algorithm outputs passages of the first original work that are most informative relative to other passages. The method further includes, combining the passages into a summary of the first original work and presenting the summary to a user.

Abstract: Fault isolation in over-the-top content (OTT) broadband networks is disclosed. Network topology information associated with a network service provider is received. Session information associated with one or more streaming sessions is received. A predictive model is generated for predicting session quality at least in part by using at least some of the network topology and session summary information as features. The predictive model is used to determine a first prediction of session quality using a first set of feature values. A second set of feature values is generated at least in part by replacing a first feature value in the first set of feature values with a replacement value. The predictive model is used to determine a replacement prediction of session quality using the second set of feature values including the replacement value with which the first feature value was replaced.

Abstract: Selecting an optimal bitrate range is disclosed. A request for content from a first client is received. An optimal subset of bitrates for the first client is determined. The optimal subset of bitrates for the first client is determined based at least in part on one or more real-time quality measures. A different optimal subset of bitrates is determined for a second client. An indication of the optimal subset of bitrates determined for the first client is provided to the first client. The first client is configured to obtain content according to the indication of the optimal subset of bitrates.

Abstract: A system generates occupancy estimates based on a Kinetic-Motion (KM)-based model that predicts the movements of occupants through a region divided into a plurality of segments. The system includes a controller for executing an algorithm representing the KM-based model. The KM-based model includes state equations that define each of the plurality of segments as containing congested portions and uncongested portions. The state equations define the movement of occupants based, in part, on the distinctions made between congested and uncongested portions of each segment.

Abstract: A system generates occupancy estimates based on a Kinetic-Motion (KM)-based model that predicts the movements of occupants through a region divided into a plurality of segments. The system includes a controller for executing an algorithm representing the KM-based model. The KM-based model includes state equations that define each of the plurality of segments as containing congested portions and uncongested portions. The state equations define the movement of occupants based, in part, on the distinctions made between congested and uncongested portions of each segment.