Abstract: A method includes receiving first data elements of a first data type and second data elements of a second data type. The first data type is text data and the second data type is at least one of image data or video data. The method also includes identifying first features of each of the first data elements, identifying second features of each of the second data elements, and generating merged features by combining a first feature of the first features of each of the first data elements with a second feature of the second features of one of the second data elements. The first feature and the second feature each represent a common feature. The method also includes generating a model based on the common features and at least a portion of the first features and the second features.

Abstract: Systems, methods, and computer readable storage media that may be used to train a model based on merged common features of two or more different data types. One method includes receiving a plurality of first data elements of a first data type and a plurality of second data elements of a second data type, identifying first features of each of the plurality of first data elements, identifying second features of each of the plurality of second data elements, generating merged features by combining a first feature of the first features of each of the plurality of first data elements with a second feature of the second features of one of the plurality of second data elements, wherein the first feature and the second feature each represent a common feature, and training a model based on the merged features and at least a portion of the first features and the second features.

Abstract: Methods, systems, and computer programs are presented for managing electronic messages of users in a social network. One method includes an operation for receiving attributes of a profile of a person with a person account that has started following an entity with an entity account, in the social network. Further, the person is added to one or more groups in the entity account based on the attributes. Each of the groups is associated with defined properties for adding persons to each group. Furthermore, messages, created by the entity and addressed to the one or more groups, are distributed to a stream of the person account.

Abstract: Systems and methods for prioritizing Connectivity Fault Management conditioning actions in a node in an Ethernet network include transmitting a configured priority of a Maintenance End Point (MEP) associated with the node to other nodes in the Ethernet network; receiving a fault notification from a remote MEP with a received priority configured at the remote MEP; and performing an action based on a comparison between the configured priority and the received priority at the node.

Abstract: Systems and methods for prioritizing Connectivity Fault Management conditioning actions in a node in an Ethernet network include transmitting a configured priority of a Maintenance End Point (MEP) associated with the node to other nodes in the Ethernet network; receiving a fault notification from a remote MEP with a received priority configured at the remote MEP; and performing an action based on a comparison between the configured priority and the received priority at the node.

Abstract: Methods, systems, and computer programs are presented for managing electronic messages of users in a social network. One method includes an operation for receiving attributes of a profile of a person with a person account that has started following an entity with an entity account, in the social network. Further, the person is added to one or more groups in the entity account based on the attributes. Each of the groups is associated with defined properties for adding persons to each group. Furthermore, messages, created by the entity and addressed to the one or more groups, are distributed to a stream of the person account.