Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with components across different domains in a single user interface in an online social network. The user interface includes a first component and a second component, where the first component exposes content from a first database system at a first network domain and the second component exposes content from a second database system at a second network domain. A first interaction with the first component is received at a computing device, followed by a reference being provided in the second component, where the reference includes information related to the first interaction. A second interaction with the second component regarding the reference can be received at the computing device. Interactions between the components hosted on different database systems can occur through an application programming interface (API).

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with components across different domains in a single user interface in an online social network. The user interface includes a first component and a second component, where the first component exposes content from a first database system at a first network domain and the second component exposes content from a second database system at a second network domain. A first interaction with the first component is received at a computing device, followed by a reference being provided in the second component, where the reference includes information related to the first interaction. A second interaction with the second component regarding the reference can be received at the computing device. Interactions between the components hosted on different database systems can occur through an application programming interface (API).

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with components across different domains in a single user interface in an online social network. The user interface includes a first component and a second component, where the first component exposes content from a first database system at a first network domain and the second component exposes content from a second database system at a second network domain. A first interaction with the first component is received at a computing device, followed by a reference being provided in the second component, where the reference includes information related to the first interaction. A second interaction with the second component regarding the reference can be received at the computing device. Interactions between the components hosted on different database systems can occur through an application programming interface (API).

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with one or more data objects in an online social network. A user interface includes a publisher with a custom action. The custom action is defined in accordance with custom action instructions provided by a first entity via an application programming interface (API). Such custom action instructions may declaratively or programmatically define the data object, the interaction to be performed with the data object, and other attributes associated with the custom action. A user may request to interact with the data object via selection of the custom action by a second entity. Information may be submitted through the publisher to interact with the data object to update a database system associated with the data object. A feed item may be presented for inclusion in the information feed based on the update.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with one or more data objects in an online social network. A user interface includes a publisher with a custom action. The custom action is defined in accordance with custom action instructions provided by a first entity via an application programming interface (API). Such custom action instructions may declaratively or programmatically define the data object, the interaction to be performed with the data object, and other attributes associated with the custom action. A user may request to interact with the data object via selection of the custom action by a second entity. Information may be submitted through the publisher to interact with the data object to update a database system associated with the data object. A feed item may be presented for inclusion in the information feed based on the update.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with components across different domains in a single user interface in an online social network. The user interface includes a first component and a second component, where the first component exposes content from a first database system at a first network domain and the second component exposes content from a second database system at a second network domain. A first interaction with the first component is received at a computing device, followed by a reference being provided in the second component, where the reference includes information related to the first interaction. A second interaction with the second component regarding the reference can be received at the computing device. Interactions between the components hosted on different database systems can occur through an application programming interface (API).

Abstract: Techniques for providing feed-based case management on an online social network. A user interface that includes a publisher and an information feed is provided. Information associated with a record is received and the record is updated in a database system. A feed item associated with the database system update is generated and provided in the information feed. The feed item includes one or more actionable selections providing a reference to the publisher. Selection of one of the one or more actionable selections causes the publisher to be operable to receive further information associated with the record. The record is capable of being updated based on the further information. In some implementations, the record is a case and the user interface serves as a single interface for all interactions required in solving the case.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with one or more data objects in an online social network. A user interface includes a publisher with a custom action. The custom action is defined in accordance with custom action instructions provided by a first entity via an application programming interface (API). Such custom action instructions may declaratively or programmatically define the data object, the interaction to be performed with the data object, and other attributes associated with the custom action. A user may request to interact with the data object via selection of the custom action by a second entity. Information may be submitted through the publisher to interact with the data object to update a database system associated with the data object. A feed item may be presented for inclusion in the information feed based on the update.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with components across different domains in a single user interface in an online social network. The user interface includes a first component and a second component, where the first component exposes content from a first database system at a first network domain and the second component exposes content from a second database system at a second network domain. A first interaction with the first component is received at a computing device, followed by a reference being provided in the second component, where the reference includes information related to the first interaction. A second interaction with the second component regarding the reference can be received at the computing device. Interactions between the components hosted on different database systems can occur through an application programming interface (API).

Abstract: The communication system includes a core system having a processor storing user variables representing user-specific information. A messaging system supports communication between a user and an automated bot agent over at least one user-chosen channel employing channel-agnostic context variables. A runtime system mediates a conversation session between user and bot agent, using at least one predefined context variable. A context mapping data store stores a mapping configuration representing a correlation between the channel-agnostic variable of the user-chosen channel and a field in the core CRM system. Using the context mapping data store, the messaging system responds to a communication from the user by querying the context mapping data store to acquire and pass to the runtime system the resolved mapping configuration values corresponding to the user-chosen channel for each defined context variable.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: Methods of digital data processing support performing user-defined actions on multiple data records in order to update those records and/or to create new records and/or post communication to email or social network platforms. Such methods can include receiving definitions of records and of actions to perform with respect to them. Those methods can further include determining default values for data fields of records to create or update during performance of a selected such action with respect to the multiple selected data records, and populating those records and/or communications with those values.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: The communication system includes a core system having a processor storing user variables representing user-specific information. A messaging system supports communication between a user and an automated bot agent over at least one user-chosen channel employing channel-agnostic context variables. A runtime system mediates a conversation session between user and bot agent, using at least one predefined context variable. A context mapping data store stores a mapping configuration representing a correlation between the channel-agnostic variable of the user-chosen channel and a field in the core CRM system. Using the context mapping data store, the messaging system responds to a communication from the user by querying the context mapping data store to acquire and pass to the runtime system the resolved mapping configuration values corresponding to the user-chosen channel for each defined context variable.

Abstract: Techniques for providing feed-based case management on an online social network. A user interface that includes a publisher and an information feed is provided. Information associated with a record is received and the record is updated in a database system. A feed item associated with the database system update is generated and provided in the information feed. The feed item includes one or more actionable selections providing a reference to the publisher. Selection of one of the one or more actionable selections causes the publisher to be operable to receive further information associated with the record. The record is capable of being updated based on the further information. In some implementations, the record is a case and the user interface serves as a single interface for all interactions required in solving the case.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: Techniques for providing feed-based case management on an online social network. A user interface that includes a publisher and an information feed is provided. Information associated with a record is received and the record is updated in a database system. A feed item associated with the database system update is generated and provided in the information feed. The feed item includes one or more actionable selections providing a reference to the publisher. Selection of one of the one or more actionable selections causes the publisher to be operable to receive further information associated with the record. The record is capable of being updated based on the further information. In some implementations, the record is a case and the user interface serves as a single interface for all interactions required in solving the case.

Abstract: Methods of digital data processing support performing user-defined actions on multiple data records in order to update those records and/or to create new records and/or post communication to email or social network platforms. Such methods can include receiving definitions of records and of actions to perform with respect to them. Those methods can further include determining default values for data fields of records to create or update during performance of a selected such action with respect to the multiple selected data records, and populating those records and/or communications with those values.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with components across different domains in a single user interface in an online social network. The user interface includes a first component and a second component, where the first component exposes content from a first database system at a first network domain and the second component exposes content from a second database system at a second network domain. A first interaction with the first component is received at a computing device, followed by a reference being provided in the second component, where the reference includes information related to the first interaction. A second interaction with the second component regarding the reference can be received at the computing device. Interactions between the components hosted on different database systems can occur through an application programming interface (API).