Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.

Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.

Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.

Abstract: A processing device executing a component of a conversational recovery system receives an intent data and a first entity data identified from user input data. The processing device determines that the first entity data is associated with first content associated with a first component. The processing device additionally receives a text data of the user input data. The processing device determines a word in the text data that matches a keyword associated with second content associated with a second component. The processing device ranks the first component and the second component. The processing device generates message data that comprises an inquiry with respect to choosing the first content or the second content.

Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.

Abstract: A processing device executing a component of a conversational recovery system receives an intent data and a first entity data identified from user input data. The processing device determines that the first entity data is associated with first content associated with a first component. The processing device additionally receives a text data of the user input data. The processing device determines a word in the text data that matches a keyword associated with second content associated with a second component. The processing device ranks the first component and the second component. The processing device generates message data that comprises an inquiry with respect to choosing the first content or the second content.

Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.

Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: A processing device executing a component of a conversational recovery system receives an intent data and a first entity data identified from user input data. The processing device determines that the first entity data is associated with first content associated with a first component. The processing device additionally receives a text data of the user input data. The processing device determines a word in the text data that matches a keyword associated with second content associated with a second component. The processing device ranks the first component and the second component. The processing device generates message data that comprises an inquiry with respect to choosing the first content or the second content.

Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.

Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: A wireless communication system includes a private LTE base station, a commercial carrier LTE base station, and a mobile wireless communications device. The mobile wireless communications device includes an LTE transceiver, a memory, and a controller coupled to the LTE transceiver and the memory. The controller stores an assigned AC value in the memory based upon a priority of use characteristic value, stores a random AC value in the memory, and determines whether access is available to the private LTE base station or the commercial carrier LTE base station. When the private LTE base station is available for access, a connection is made based upon the assigned AC value and a private LTE barring value received from the private LTE base station. When the commercial carrier LTE base station is available for access, a connection is made based upon the random AC value and a commercial carrier barring value.

Abstract: A wireless communication system includes a private LTE base station, a commercial carrier LTE base station, and a mobile wireless communications device. The mobile wireless communications device includes an LTE transceiver, a memory, and a controller coupled to the LTE transceiver and the memory. The controller stores an assigned AC value in the memory based upon a priority of use characteristic value, stores a random AC value in the memory, and determines whether access is available to the private LTE base station or the commercial carrier LTE base station. When the private LTE base station is available for access, a connection is made based upon the assigned AC value and a private LTE barring value received from the private LTE base station. When the commercial carrier LTE base station is available for access, a connection is made based upon the random AC value and a commercial carrier barring value.

Abstract: A wireless communication network is provided that includes a plurality of communication cells each defined by at least one communication coverage area and a plurality of access points each corresponding to a different one of the plurality of communication cells. Each access point is configured to communicate on a first frequency with at least one of (i) a subscriber in the at least one communication coverage area in a first communication cell and (ii) a subscriber in a second communication cell. Each access point is further configured to communicate on a second frequency with an access point in a third communication cell.

Abstract: A wireless communication network is provided that includes a plurality of communication cells each defined by at least one communication coverage area and a plurality of access points each corresponding to a different one of the plurality of communication cells. Each access point is configured to communicate on a first frequency with at least one of (i) a subscriber in the at least one communication coverage area in a first communication cell and (ii) a subscriber in a second communication cell. Each access point is further configured to communicate on a second frequency with an access point in a third communication cell.

Abstract: A wireless communication network is provided that includes a plurality of communication cells each defined by at least one communication coverage area and a plurality of access points each corresponding to a different one of the plurality of communication cells. Each access point is configured to communicate on a first frequency with at least one of (i) a subscriber in the at least one communication coverage area in a first communication cell and (ii) a subscriber in a second communication cell. Each access point is further configured to communicate on a second frequency with an access point in a third communication cell.