Abstract: A meeting record of a meeting attended by a user via a meeting application is received. Sentiment analysis the meeting record is performed to identify one or more key events in the meeting, and retrospective feedback for the one or more key events identified in the meeting is determined. The retrospective feedback identifies respective actions or non-actions by the user in connection with respective key events among the one or more key events, and includes respective feedback on the respective actions or non-actions to recommend modified behavior of the user in subsequent meetings. The retrospective feedback is provided for display to the user.

Abstract: Techniques for providing a people recommendation system for predicting and recommending relevant people (or other entities) to include in a conversation based on contextual indicators. In an exemplary embodiment, email recipient recommendations may be suggested based on contextual signals, e.g., project names, body text, existing recipients, current date and time, etc. In an aspect, a plurality of properties including ranked key phrases are associated with profiles corresponding to personal entities. Aggregated profiles are analyzed using first- and second-layer processing techniques. The recommendations may be provided to the user reactively, e.g., in response to a specific query by the user to the people recommendation system, or proactively, e.g., based on the context of what the user is currently working on, in the absence of a specific query by the user.

Abstract: Techniques for providing a people recommendation system for predicting and recommending relevant people (or other entities) to include in a conversation. In an exemplary embodiment, a plurality of conversation boxes associated with communications between a user and target recipients, or between other users and recipients, are collected and stored as user history. During a training phase, the user history is used to train encoder and decoder blocks in a de-noising auto-encoder model. During a prediction phase, the trained encoder and decoder are used to predict one or more recipients for a current conversation box composed by the user, based on contextual and other signals extracted from the current conversation box. The predicted recipients are ranked using a scoring function, and the top-ranked individuals or entities may be recommended to the user.

Abstract: Techniques for providing a people recommendation system for predicting and recommending relevant people (or other entities) to include in a conversation based on contextual indicators. In an exemplary embodiment, email recipient recommendations may be suggested based on contextual signals, e.g., project names, body text, existing recipients, current date and time, etc. In an aspect, a plurality of properties including ranked key phrases are associated with profiles corresponding to personal entities. Aggregated profiles are analyzed using first- and second-layer processing techniques. The recommendations may be provided to the user reactively, e.g., in response to a specific query by the user to the people recommendation system, or proactively, e.g., based on the context of what the user is currently working on, in the absence of a specific query by the user.

Abstract: Techniques for providing a people recommendation system for predicting and recommending relevant people (or other entities) to include in a conversation. In an exemplary embodiment, a plurality of conversation boxes associated with communications between a user and target recipients, or between other users and recipients, are collected and stored as user history. During a training phase, the user history is used to train encoder and decoder blocks in a de-noising auto-encoder model. During a prediction phase, the trained encoder and decoder are used to predict one or more recipients for a current conversation box composed by the user, based on contextual and other signals extracted from the current conversation box. The predicted recipients are ranked using a scoring function, and the top-ranked individuals or entities may be recommended to the user.

Abstract: A determination is made at a first computing device of whether there is a synchronization conflict between a change to a first synchronized item at the first computing device and a change to a second synchronized item at a second computing device. If a synchronization conflict exists, rule-based conflict resolution is performed to automatically resolve the synchronization conflict. The rule-based conflict resolution is based at least in part on a type of the change made to the first synchronized item, a type of the change made to the second synchronized item, and a set of multiple rules. A notification of the resolution is then sent to the second computing device.

Abstract: A determination is made at a first computing device of whether there is a synchronization conflict between a change to a first synchronized item at the first computing device and a change to a second synchronized item at a second computing device. If a synchronization conflict exists, rule-based conflict resolution is performed to automatically resolve the synchronization conflict. The rule-based conflict resolution is based at least in part on a type of the change made to the first synchronized item, a type of the change made to the second synchronized item, and a set of multiple rules. A notification of the resolution is then sent to the second computing device.

Abstract: Both an edited version of a first image and an original version of the first image are stored at a first computing device. In response to a user request to synchronize images across multiple computing devices, both the edited version of the first image and the original version of the first image are synchronized with a second computing device. A user is allowed to revert to the original version of the first image regardless of on which of the multiple computing devices the edited version was changed.

Abstract: A determination is made at a first computing device of whether there is a synchronization conflict between a change to a first synchronized item at the first computing device and a change to a second synchronized item at a second computing device. If a synchronization conflict exists, rule-based conflict resolution is performed to automatically resolve the synchronization conflict. The rule-based conflict resolution is based at least in part on a type of the change made to the first synchronized item, a type of the change made to the second synchronized item, and a set of multiple rules. A notification of the resolution is then sent to the second computing device.

Abstract: A content user experience is described. In one or more implementations, a user interface is displayed that has selectable representations of content sources, at least one of which is available via a network. Responsive to selection of one or more of the content sources via the user interface, representations of content are displayed in the user interface using metadata obtained from the selected one or more content sources, the representations arranged according to a hierarchy used at a respective content source to arrange access to the content. Responsive to selection of one or more of the representations via the user interface; the content is obtained that corresponds to the selected representations and the obtained content is displayed in the user interface.

Abstract: A determination is made at a first computing device of whether there is a synchronization conflict between a change to a first synchronized item at the first computing device and a change to a second synchronized item at a second computing device. If a synchronization conflict exists, rule-based conflict resolution is performed to automatically resolve the synchronization conflict. The rule-based conflict resolution is based at least in part on a type of the change made to the first synchronized item, a type of the change made to the second synchronized item, and a set of multiple rules. A notification of the resolution is then sent to the second computing device.

Abstract: Methods and systems provide a tool for synchronizing content across multiple computers. In one or more embodiments, files and folders can be automatically synchronized when multiple computers are available. Further, in at least some embodiments, automatic synchronization can be effected on each of two or more computers by a single user action on a single computer, such as a mouse click. Additionally, in other embodiments, the tool can present an option to synchronize content across multiple computers.

Abstract: Both an edited version of a first image and an original version of the first image are stored at a first computing device. In response to a user request to synchronize images across multiple computing devices, both the edited version of the first image and the original version of the first image are synchronized with a second computing device. A user is allowed to revert to the original version of the first image regardless of on which of the multiple computing devices the edited version was changed.