Abstract: Tracking edits executed against a file to ensure that the edits are monitored consistently so that language service requests are properly handled. Initially, a collaboration session is established. This collaboration session includes an owner and a participant computer system. Then, the owner computing system receives messages that are directed toward a file stored by the owner computer system. These messages include edits that are to be performed against the file and language service request(s). A file version is then assigned to a subset of these edits. As the subset of edits are executed against the file, the file's state changes. The file versions are published to both the participant computer system and to a language service running on the owner computer system. The language service uses the published file versions to track the edits that are being executed against the file and to respond to the language service request(s).

Abstract: Examples are disclosed that relate to recommending resources accessible via an online ecosystem. One example provides a computing system including a logic machine and a storage machine holding instructions executable by the logic machine to, for each of a plurality of users of an online ecosystem, obtain and store interaction data regarding interactions of the user with one or more digital content items accessible via the online ecosystem, and receive a request associated with a selected user for a recommendation related to resources accessible via the online ecosystem. The instructions may be further executable to retrieve, for at least a subset of users of the plurality of users, the interaction data, apply a weighted matching algorithm to determine one or more similar users that are similar to the selected user, and output a recommendation for the selected user of one or more recommended resources accessible via the online ecosystem.

Abstract: Tracking edits executed against a file to ensure that the edits are monitored consistently so that language service requests are properly handled. Initially, a collaboration session is established. This collaboration session includes an owner and a participant computer system. Then, the owner computing system receives messages that are directed toward a file stored by the owner computer system. These messages include edits that are to be performed against the file and language service request(s). A file version is then assigned to a subset of these edits. As the subset of edits are executed against the file, the file's state changes. The file versions are published to both the participant computer system and to a language service running on the owner computer system. The language service uses the published file versions to track the edits that are being executed against the file and to respond to the language service request(s).

Abstract: A collaboration session is provided in which an owner computer system and a participant computer system are both members. While working within this session, the participant computer system is provided access to a multi-file workspace that is stored locally on the owner computer system. The owner computer system receives a request that is directed to the multi-file workspace. Here, the request originates from the participant computer system. In response to the request, the owner computer system handles the request and then returns a response to the participant computer system.

Abstract: Examples are disclosed that relate to recommending resources accessible via an online ecosystem. One example provides a computing system including a logic machine and a storage machine holding instructions executable by the logic machine to, for each of a plurality of users of an online ecosystem, obtain and store interaction data regarding interactions of the user with one or more digital content items accessible via the online ecosystem, and receive a request associated with a selected user for a recommendation related to resources accessible via the online ecosystem. The instructions may be further executable to retrieve, for at least a subset of users of the plurality of users, the interaction data, apply a weighted matching algorithm to determine one or more similar users that are similar to the selected user, and output a recommendation for the selected user of one or more recommended resources accessible via the online ecosystem.