Facebook, Inc.

Salesforce Com, Inc.

Meta Platforms, Inc.

Saurav Mohapatra

Michael Scott Micucci

Tomasz Zawada

David Goldbrenner

Nicolas Maquaire

Laurent Kubaski

Raphael Jean-Leconte

Kuan-Yu Tseng

Jason Michael Carreiro

Kunal Bhalla

Vladimir Leonid Bychkovsky

James Cipar

Alvin F Wen

Lili Hu

Michael Micucci

Jean-Leconte Raphael

In one embodiment, a method includes receiving a request to determine whether to perform an action, wherein the action is based on one or more feature values, generating a prediction of whether to perform the action, wherein the prediction is generated using a machine-learning model that is trained based on the feature values, a heuristic value based on the feature values, and one or more feedback scores based on corresponding past predictions generated by the machine-learning model, where the heuristic value indicates whether to perform the action based on one or more predetermined conditions that are based on the feature values, performing the action when the prediction indicates that the action is to be performed, receiving a feedback score that indicates a level of effectiveness of the prediction, and updating the machine-learning model based on the feedback score, the feature values, and the heuristic value.

Machine learning in resource-constrained environments

Systems, methods, and non-transitory computer-readable media can acquire a request for a map of a particular region. A first set of one or more map portions for representing a first portion of the particular region can be identified based on the particular region. The first set can be associated with a first map data source. A second set of one or more map portions for representing a second portion of the particular region can be identified based on the particular region. The second set can be associated with a second map data source. The map of the particular region can be generated based on a combination of the first set and the second set.

Systems and methods for utilizing multiple map portions from multiple map data sources

Disclosed are methods, apparatus, systems, and computer readable storage media for establishing access with a content object stored in a content management data source from an on-demand database service. A request can be received from a user of the on-demand database service to access data regarding a content object stored in an external content management data source. The content management data source can be identified based on the request, and the request can be provided to a repository-specific connector communicatively coupled to the external content management data source. Access can be established with the content object to retrieve the requested data, and a virtual object associated with the on-demand database service can be created to instantiate connection between the content object and the on-demand database service. The requested data can be provided to a display device in a user interface for the on-demand database service.

Systems and methods for content management in an on-demand environment

Disclosed are methods, apparatus, systems, and computer readable storage media for providing access in an on-demand database service to a content object stored in an external content management data source. Information data identifying a content object stored in an external content management data source can be received and communicated through one or more middleware components. The one or more middleware components can serve as a content hub to establish access with the content object and retrieve data regarding the content object. The data regarding the content object can be stored in a persistent object, which can represent the content object in a social layer of the on-demand database service.

Systems and methods for providing access to external content objects

Growing community of inventors

Lexington, MA, United States of America

Saurav Mohapatra