Abstract: System and methods are described for generating recommendations from dynamically-mapped data. In one implementation, a database system receives a first request to generate a recommendation objection and a second request to retrieve additional data to include in the recommendation object. The database system retrieves the recommendation data from a first database table. The database system identifies the additional data in a second database table that is stored separately from the first database table. The database system generates the recommendation object to include the recommendation data from the first database, and maps the additional data to one or more fields of the recommendation object.

Abstract: System and methods are described for generating recommendations from dynamically-mapped data. In one implementation, a database system receives a first request to generate a recommendation objection and a second request to retrieve additional data to include in the recommendation object. The database system retrieves the recommendation data from a first database table. The database system identifies the additional data in a second database table that is stored separately from the first database table. The database system generates the recommendation object to include the recommendation data from the first database, and maps the additional data to one or more fields of the recommendation object.

Abstract: System and methods are described for generating recommendations from dynamically-mapped data. In one implementation, a database system receives a first request to generate a recommendation objection and a second request to retrieve additional data to include in the recommendation object. The database system retrieves the recommendation data from a first database table. The database system identifies the additional data in a second database table that is stored separately from the first database table. The database system generates the recommendation object to include the recommendation data from the first database, and maps the additional data to one or more fields of the recommendation object.

Abstract: An application server platform operated by a cloud computing services provider receives input from a customer organization application executing on the application server platform, the input specifying a first action on a first item type, and a second action on a second item type to recommend in response to the specified first action on the first item type. The application server platform searches for a record in a permanent data store that contains the first action, the first item type, the second action, and the second item type, and assigns a value to a token associated with the record based on when the application server platform most recently generated a recommendation that included the first action on the first item type and the second action on the second item type from the record, when the search locates the record in the permanent data store.

Abstract: A method implemented in a database system for providing an information feed from a social networking system is provided. The method comprises receiving a request from a requesting user for an information feed of the social networking system according to configuration information customized by the requesting user. The configuration information identifies a plurality of information sources and has a set of rules for identifying which updates from the identified information sources to include in the information feed. Each information source has one or more associated updates. The method further comprising selecting a first set of updates from a plurality of updates wherein each selected update complies with the set of rules identified in the configuration information, excluding a second set of updates from the plurality of updates wherein each excluded update does not comply with the set of rules identified in the configuration information, and generating the information feed.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for facilitating the debug tracing of a Next Best Action (NBA) strategy engine. During debug tracing, a user may interact with a user interface representing execution of the NBA strategy engine. Upon interacting with a node representing a decision point, a corresponding ordered list of options generated by the NBA strategy engine and a set of time values resulting from execution of the corresponding segment of the NBA strategy engine are provided for display in proximity to the node.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for facilitating the debug tracing of a Next Best Action (NBA) strategy engine. During debug tracing, a user may interact with a user interface representing execution of the NBA strategy engine. Upon interacting with a node representing a decision point, a corresponding ordered list of options generated by the NBA strategy engine and a set of time values resulting from execution of the corresponding segment of the NBA strategy engine are provided for display in proximity to the node.

Abstract: This disclosure provides various techniques that may allow for tracking how a user interacts with content. For example, a user may interact with various types of content, such as web pages, applications, text, multimedia, or any other type of content. In one example of web page content, for example, this disclosure provides that executable code may be included with a web page and run on a user's system (e.g., via a web browser). The code may be capable of monitoring which content is visible in a viewport of the web browser, when the content is visible, and what part of the viewport contains the content. This monitoring data may be used to measure user interaction or engagement with the content.

Abstract: An application server platform operated by a cloud computing services provider receives input from a customer organization application executing on the application server platform, the input specifying a first action on a first item type, and a second action on a second item type to recommend in response to the specified first action on the first item type. The application server platform searches for a record in a permanent data store that contains the first action, the first item type, the second action, and the second item type, and assigns a value to a token associated with the record based on when the application server platform most recently generated a recommendation that included the first action on the first item type and the second action on the second item type from the record, when the search locates the record in the permanent data store.

Abstract: A method implemented in a database system for providing an information feed from a social networking system is provided. The method comprises receiving a request from a requesting user for an information feed of the social networking system according to configuration information customized by the requesting user. The configuration information identifies a plurality of information sources and has a set of rules for identifying which updates from the identified information sources to include in the information feed. Each information source has one or more associated updates. The method further comprising selecting a first set of updates from a plurality of updates wherein each selected update complies with the set of rules identified in the configuration information, excluding a second set of updates from the plurality of updates wherein each excluded update does not comply with the set of rules identified in the configuration information, and generating the information feed.

Abstract: This disclosure provides various techniques that may allow for tracking how a user interacts with content. For example, a user may interact with various types of content, such as web pages, applications, text, multimedia, or any other type of content. In one example of web page content, for example, this disclosure provides that executable code may be included with a web page and run on a user's system (e.g., via a web browser). The code may be capable of monitoring which content is visible in a viewport of the web browser, when the content is visible, and what part of the viewport contains the content. This monitoring data may be used to measure user interaction or engagement with the content.