Abstract: An online system stores objects that may be accessed by users. The online system also stores indexes of terms related to different entity types of objects. When a user provides a search query, the online system compares the search terms with terms stored in the indexes. Based on the comparisons, the online system determines term features for entity types associated with an index. The online system provides the term features as inputs to a machine learning model. The machine learning model outputs a score for each entity type indicating a likelihood that the search query is for an object associated with the entity type. The machine learning model output is used by the online system to select one or more entity types that the user is likely searching for. The online system offers objects of the likely entity types to the user as results of the search query.

Abstract: Network traffic data associated with data requests to computer applications based on static policies is collected. An optimization order is established among network parameters. A first network parameter of a higher rank in the optimization order is estimated based on the collected network traffic data before one or more other network parameters of lower ranks are estimated. Optimal values for the other network parameters are estimated based at least in part on the estimated first optimal value for the first network parameter. The estimated first optimal value of the first network parameter and the estimated optimal values for the other network parameters are propagated to be used by user devices to make new data requests to the computer applications.

Abstract: An online system identifies and ranks records using multiple machine learning models in response to a search query. Therefore, the online system can provide selected records that are of the most relevance to a user of a client device that provided the search query. More specifically, the online system applies a first machine learning model that is of low complexity, such as a regression model. Therefore, the first machine learning model can quickly narrow down the large number of records of the online system to a first set of candidate records. The online system analyzes candidate records in the first set by applying a more complex, second machine learning model that more accurately determines records of interest for the user. In various embodiments, the online system can apply subsequent machine learning models of higher complexity for selecting and ranking records for provision to the client device.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with a content object from an on-demand database service. The content object can be stored in an external content management data source. Access can be established with the external content object using information data identifying the content object, where the information data identifying the content object can be stored in a persistent object in a database of the on-demand database service. An indication of an event requesting interaction with the content object can be received. The persistent object can be updated to reflect the interaction with the content object.

Abstract: A server digital data processor includes an application server providing an execution environment in which a web application comprising a plurality of classes or functions (collectively, “classes”) executes. The application server or execution environment generate a log file entry identifying an error in connection with execution of a class and store that message to a log file. A log file viewer executing on the server digital data processor augments the log file entry to include a link or other reference to a source file in a repository maintained on a remote workstation or server containing source code to the offending class and application version.

Abstract: Disclosed are methods, apparatus, systems, and computer-readable storage media for composing and batch publishing feed items in a user interface in a feed-based interaction context. In some implementations, a computing device provides a first prompt for display in a first user interface component, which is configured to display unpublished feed items. The computing device receives, at the first prompt, first feed item data for a first feed item. Responsive to a request to compose a second feed item, the computing device displays in the first user interface component a second prompt for second feed item data without publishing the first feed item. The computing device receives, at the second prompt, second feed item data for a second feed item of a first record, the first and second feed items being related to the first record.

Abstract: Computing systems, database systems, and related methods are provided for supporting dynamic resources. One exemplary method involves a resource server identifying a reference to an external source within a resource obtained from a resource database, retrieving data residing at the external source from a network using the reference, and generating a graphical representation of the resource at a client device communicatively coupled to the network. The graphical representation of the resource includes a graphical representation of the retrieved data at a location within the graphical representation of the resource corresponding to a location of the reference within the resource.

Abstract: A method and apparatus for the automatic suggestion generation in a relationship management system is described. The method may include obtaining an electronic communication associated with one or more users of a relationship management system, where the communication is part of a series of communications in a process managed by the relationship management system. Furthermore, the method may include analyzing content of the electronic communication to determine a suggested future action within the process managed by the relationship management system. The method may also include generating a suggestion by the relationship management system to notify at least one user of the suggested future action, and storing the generated suggestion within a database coupled with the relationship management system.

Abstract: Techniques are disclosed relating to handling queues. A server-based platform, in some embodiments, accesses queue information that includes performance attributes for a plurality of queues storing one or more messages corresponding to one or more applications. In some embodiments, the platform assigns, based on the performance attributes, a corresponding set of the plurality of queues to each of a plurality of processing nodes of the platform. In some embodiments, the assigning of a corresponding set of queues to a given one of the plurality of processing nodes causes instantiation of: a first set of one or more dequeuing threads and a second set of one or more processing threads. The dequeuing threads may be executable to dequeue one or more messages stored in the corresponding set of queues. The processing threads may be executable to perform one or more tasks specified in the dequeued one or more messages.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing a developer console to customizable live applications in a cloud collaboration platform. The developer console may support the software development lifecycle for third-party live applications deployed in the cloud collaboration platform in a myriad of fashions. The developer console may vet live applications prior to deployment, provide release and version control mechanisms, and offer a range of configuration options to control third-party live applications. The developer console may provide an initial bundle to developers that include supporting functions and modules enabling the developer to run a development environment on a local server as a local platform. A developer console may allow developers to configure access to third-party data sources that may be harnessed by a live application.

Abstract: The technology disclosed relates to discovering multiple previously unknown and undetected technical problems in fault tolerance and data recovery mechanisms of modern stream processing systems. In addition, it relates to providing technical solutions to these previously unknown and undetected problems. In particular, the technology disclosed relates to discovering the problem of modification of batch size of a given batch during its replay after a processing failure. This problem results in over-count when the input during replay is not a superset of the input fed at the original play. Further, the technology disclosed discovers the problem of inaccurate counter updates in replay schemes of modern stream processing systems when one or more keys disappear between a batch's first play and its replay. This problem is exacerbated when data in batches is merged or mapped with data from an external data store.

Abstract: Disclosed herein are system, method, and computer program product embodiments for unifying graphical user interface (GUI) displays across different device types. In an embodiment, a unification system may convert various GUI view appearing on, for example, a desktop device into a GUI view on a mobile device. Both devices may be accessing the same application and/or may use a cloud computing platform to access the application. The unification system may aid in reproducing GUI modifications performed on one user device onto other user devices. In this manner, the unification system may maintain a consistent look-and-feel for a user across different computing device type.

Abstract: Disclosed herein are system, method, and computer program product embodiments for unifying graphical user interface (GUI) displays across different device types. In an embodiment, a unification system may convert various GUI view appearing on, for example, a desktop device into a GUI view on a mobile device. Both devices may be accessing the same application and/or may use a cloud computing platform to access the application. The unification system may aid in reproducing GUI modifications performed on one user device onto other user devices. In this manner, the unification system may maintain a consistent look-and-feel for a user across different computing device type.

Abstract: Disclosed herein are system, method, and computer program product embodiments for unifying graphical user interface (GUI) displays across different device types. In an embodiment, a unification system may convert various GUI view appearing on, for example, a desktop device into a GUI view on a mobile device. Both devices may be accessing the same application and/or may use a cloud computing platform to access the application. The unification system may aid in reproducing GUI modifications performed on one user device onto other user devices. In this manner, the unification system may maintain a consistent look-and-feel for a user across different computing device type.

Abstract: Among other things, embodiments of the present disclosure may utilize identification information associated with a user from a variety of sources in order to authenticate the user for a particular platform. Other embodiments may be described and/or claimed.

Abstract: System and method to display PIM application content in one or more PIM application display panes of a graphical user interface (GUI), select the displayed PIM application content for which to obtain a one or more record overviews of a CRM record related to the PIM application content, receive PIM application context data related to selected PIM application content, generate the one or more record overviews of the CRM record related to the PIM application content to display in a context-specific display pane based on the received PIM application content or PM application context data, and display the generated one or more record overviews in the context-specific display pane.

Abstract: An achievement platform may be maintained using a database system. A user interface may be displayed on a device of an authorized user of the achievement platform. The user interface may be configurable to allow the authorized user to create or modify customizable awards that are achievable based on customizable logic definable by the authorized user. The authorized user may be affiliated with a first one of a plurality of organizations implementing an application or service. Input, to create a first award based on first customizable logic may be processed. The first customizable logic may be configured by the authorized user such that satisfaction of conditions causes designated users associated with the application or service to be presented with the first award. It may be determined that a first user affiliated with the first organization has satisfied the conditions. The first user may be presented with the first award.

Abstract: Disclosed herein are system, method, and computer program product embodiments for synchronizing an offline briefcase. An embodiment operates by defining an offline briefcase for a user group that is accessible offline at an application. The embodiment detects a change to a component of the offline briefcase. The embodiment sends a push notification to the application based on the detected change to the component. The embodiment receives a synchronization request from the application in response to the sent push notification. The embodiment then sends the changed component to the application based on the synchronization request.

Abstract: Methods and systems are provided for automatically creating and displaying an action plan generated from an action plan template. An action plan template is created by a template owner, who can then add tasks to the action plan template until all tasks to be included as part of the template have been created. After it has been published, action plan owners can use it during an action plan creation process. An action plan owner can select a particular target record to be associated with a new action plan and specify other action plan details. An application platform can then automatically populate the new action plan with information indicating: a name of the action plan owner, a plurality of tasks a corresponding task owner who is assigned to each task, and a corresponding task deadline that was automatically calculated for each task by the action plan creation module.