Abstract: An online document system manages access to features within the online document system. The online document system may identify a first entity and a second entity associated with the first entity. The online document system may apply a trained machine learning model to a characteristic of at least one of the first entity or the second entity to identify one or more features within an online document system to recommend. The machine learning model may have been trained using feature training data describing one or more characteristics of a plurality of entities and describing historical activity associated with a usage of a plurality of features within the online document system by the plurality of entities. The online document system may output an indication of the one or more identified features to the first entity.

Abstract: An online document system provides a recommendation for one or more features within the online document system to an entity. The online document system accesses a set of feature training data to train a machine learning model. The set of feature training data may describe characteristics of entities associated with the online document system and historical activity associated with the entities' usage of the online document system's features. The machine learning model may be configured to identify a feature to recommend to an entity based on the entity's characteristics and history of using other features within the online document system. For example, data representing the entity's user accounts and use of an electronic signature feature is used by the machine learning model to identify a document authentication feature to recommend to the entity. The online document system may then provide the identified feature in a recommendation to the entity.

Abstract: An online document system manages access to features within the online document system. The online document system may receive and fulfill a request from a first entity to sponsor a feature for a second entity. The online document system may determine an access policy to restrict access to the sponsored feature. For example, the access policy may include a requirement that the second entity only use the sponsored feature with the first entity. The first entity may provide a second access policy to the online document system to enforce. If the second entity satisfies requirements of the access policies, the online document system may then provide access to the second entity to use the sponsored feature.

Abstract: An online document system provides a recommendation for one or more features within the online document system to an entity. The online document system accesses a set of feature training data to train a machine learning model. The set of feature training data may describe characteristics of entities associated with the online document system and historical activity associated with the entities' usage of the online document system's features. The machine learning model may be configured to identify a feature to recommend to an entity based on the entity's characteristics and history of using other features within the online document system. For example, data representing the entity's user accounts and use of an electronic signature feature is used by the machine learning model to identify a document authentication feature to recommend to the entity. The online document system may then provide the identified feature in a recommendation to the entity.

Abstract: An online document system provides a recommendation for one or more features within the online document system to an entity. The online document system accesses a set of feature training data to train a machine learning model. The set of feature training data may describe characteristics of entities associated with the online document system and historical activity associated with the entities' usage of the online document system's features. The machine learning model may be configured to identify a feature to recommend to an entity based on the entity's characteristics and history of using other features within the online document system. For example, data representing the entity's user accounts and use of an electronic signature feature is used by the machine learning model to identify a document authentication feature to recommend to the entity. The online document system may then provide the identified feature in a recommendation to the entity.

Abstract: An online document system manages access to features within the online document system. The online document system may receive and fulfill a request from a first entity to sponsor a feature for a second entity. The online document system may determine an access policy to restrict access to the sponsored feature. For example, the access policy may include a requirement that the second entity only use the sponsored feature with the first entity. The first entity may provide a second access policy to the online document system to enforce. If the second entity satisfies requirements of the access policies, the online document system may then provide access to the second entity to use the sponsored feature.