Abstract: An improved analytics system dynamically generates, integrates, and deploys multiple models for use related to a particular user and/or user segment. The integrated model analytics system can deploy a set of models specifically identified for a user from a group of models related to the service. This set of models can be used to provide recommendations for the user related to content of the service. As the user continues to interact with the service, the integrated model analytics system can dynamically update multiple models from the set of models based on real-time user interactions. These updated models can be used to generate updated recommendations for the user that can be used to dynamically update content presented to the user. In addition, this updated model can be used when providing recommendations for users in other user segments.

Abstract: Systems and methods for content management are described. One or more embodiments of the present disclosure receive a user request for a content page, wherein the content page includes a content item from a content source, determine that the user request is from a non-automated user, provide a user version of the content page to the non-automated user based on the determination that the user request is from the non-automated user, wherein the user version of the content page includes metadata linking to a related content item from a source other than the content source, receive an automated request for the content page, determine that the automated request is from an automated system, and provide an alternate version of the content page to the automated system based on the determination that the user request is from the automated system, wherein the alternate version of the content page includes additional metadata linking to a plurality of additional content items.

Abstract: An improved analytics system dynamically generates, integrates, and deploys multiple models for use related to a particular user and/or user segment. The integrated model analytics system can deploy a set of models specifically identified for a user from a group of models related to the service. This set of models can be used to provide recommendations for the user related to content of the service. As the user continues to interact with the service, the integrated model analytics system can dynamically update multiple models from the set of models based on real-time user interactions. These updated models can be used to generate updated recommendations for the user that can be used to dynamically update content presented to the user. In addition, this updated model can be used when providing recommendations for users in other user segments.

Abstract: Techniques disclosed herein relate generally to generating a user-specific customized graphical user interface. More specifically, some embodiments disclosed herein relate to implementing a plurality of machine learning models to a plurality of aspects of a user's interaction with a cloud-based application suite. In one embodiment, the machine learning models may generate one or more aspects of a graphical user interface. The graphical user interface may then be used to interact with the cloud-based application suite.