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Interaction events collected across disparate customer communication channels of an enterprise are processed to generate an encoded unique content item identifier for each content item referenced in an interaction event such that the content item is resolvable to a location in a content repository. A training data set is built using the interaction events thus processed and a multi-channel content recommendation model is trained using the training data set. The multi-channel content recommendation model thus trained stores data points representing intersections of customers and content items that the enterprise has been tracking, with each data point having an effectiveness score for an associated content item. The multi-channel content recommendation model thus trained can be queried by content designers of the disparate customer communication channels through a recommender application for content recommendations based on the effectiveness of the content, agnostic to the disparate customer communication channels.

Interaction events collected across disparate customer communication channels of an enterprise are processed to generate an encoded unique content item identifier for each content item referenced in an interaction event such that the content item is resolvable to a location in a content repository. A training data set is built using the interaction events thus processed and a multi-channel content recommendation model is trained using the training data set. The multi-channel content recommendation model thus trained stores data points representing intersections of customers and content items that the enterprise has been tracking, with each data point having an effectiveness score for an associated content item. The multi-channel content recommendation model thus trained can be queried by content designers of the disparate customer communication channels through a recommender application for content recommendations based on the effectiveness of the content, agnostic to the disparate customer communication channels.

A system provides a mechanism for providing a multi-brand experience. The system provides a way implement a multi-brand experience by adding a layer of information that can be helpful when differentiating among consumers in order to accomplish market segmentation. The multi-brand experience enables each group of users to be presented with a different look and feel of the same application.

A content server can function as the master record keeper even if a file or folder that it manages in an enterprise computing environment is shared externally, for instance, through a cloud system. To mitigate network security risks, the content server polls, from behind a firewall, an event service of the cloud system. The event service, in response, can communicate events indicating changes to the shared content to the content server. The content server can interpret the events and determine whether to take any appropriate action, for example, updating an audit log to include an event and/or updating the managed content to reflect the changes. Likewise, the content server can communicate any change to the managed content to the cloud system through the event service. In this way, the managed content in the enterprise computing environment and the shared content in the cloud system are bidirectionally synced.

A content management system may instantiate, from the same super class defined in a database schema, principal objects representing users and groups and content objects representing documents and folders. The principal objects and the content objects share the same social interaction functions. When a content object is modified, the system can create a message in which the content object identifies itself as a first person, update a message table such that any follower of the content object is notified of the message, and update a profile or feed associated with the content object. At least because content objects can “socialize” like principal objects, the system can generate a social graph containing content objects as nodes, map relationships among principal objects and content objects, and make recommendations to perhaps change/enhance such relationships.

Interaction events collected across disparate customer communication channels of an enterprise are processed to generate an encoded unique content item identifier for each content item referenced in an interaction event such that the content item is resolvable to a location in a content repository. A training data set is built using the interaction events thus processed and a multi-channel content recommendation model is trained using the training data set. The multi-channel content recommendation model thus trained stores data points representing intersections of customers and content items that the enterprise has been tracking, with each data point having an effectiveness score for an associated content item. The multi-channel content recommendation model thus trained can be queried by content designers of the disparate customer communication channels through a recommender application for content recommendations based on the effectiveness of the content, agnostic to the disparate customer communication channels.

A content management system may instantiate, from the same super class defined in a database schema, principal objects representing users and groups and content objects representing documents and folders. The principal objects and the content objects share the same social interaction functions. When a content object is modified, the system can create a message in which the content object identifies itself as a first person, update a message table such that any follower of the content object is notified of the message, and update a profile or feed associated with the content object. At least because content objects can “socialize” like principal objects, the system can generate a social graph containing content objects as nodes, map relationships among principal objects and content objects, and make recommendations to perhaps change/enhance such relationships.

Content management systems are implemented according to a multitenant architecture by which software and its supporting architecture serves multiple customers of a service. Each tenant may be given a share of the application's data, configuration, user management, and other aspects of the application. Each tenant's data is isolated and typically remains invisible to other tenants so that tenants do not share or see each other's data. Embodiments described herein provide mechanisms by which a tenant can delegate administrator rights to an external user such that the external user can grant other users access to the tenant's content while the tenant controls the level of access that is provided to the external users.

Embodiments of search systems that leverage the search or access activities of a core group of users to improve search functionality and performance of such search systems are disclosed. Specifically, embodiments may utilize users' search activity to generate clusters of users and associated labels for those clusters. These clusters can be leveraged during a search to generate suggestions for a user conducting the search.

Embodiments provide a web-based editing tool that intelligently leverages certain functionality of a browser, web client, desktop client, and native software at the client side to provide seamless user experience when editing a file over a network. Responsive to a user selecting a file for editing, the web client may send a passive content request to a web server embedded in the desktop client at a specific address on the client device. If no response, the web client prompts the user to start or install the desktop client on the client device. If a response is received, the web client sends a request to the desktop client with a user identifier and authorization to download the file from a server. The desktop client downloads the file, opens it in the native software, monitors the file being edited, and updates a delta associated with the file to the server.