Abstract: Personalized information from venues of interest to a user is provided to the user. The information may comprise messages, notifications, or other information determined to be relevant to the user, and may be timely provided to the user in an appropriate format such that the user is better able to respond to the information. A set of venues that are relevant to the user and corresponding information sources associated with the venue are determined. Information published by these sources may be analyzed for relevance to the user, and the relevant information items may be provided to the user via notifications or applications and services. Further, the notifications may be scheduled for presentation to the user at appropriate times, such as prior to a predicted visit of the venue. One embodiment includes a venue-information clearinghouse for receiving information from venues and making it available for user applications or services.

Abstract: Technology is disclosed for improving user privacy and providing user control over user-activity data collected from personal computing devices (i.e., user devices). User devices may be configured to operate in a private mode that enables a user to control, for example, which aspects of user-activity data are provided to applications and services running on their user device; to obscure or modify aspects of user-activity data so that certain applications and services, which may require this information to operate, may still function, but that the obscured information provided to these applications and services preserves user privacy or no longer may be used to identify the user; or to remove evidence of user-activity data created, monitored, reported, or otherwise collected by or on the user device while the user is operating their user device in the private mode setting.

Abstract: Various embodiments discussed herein are directed to improving existing technologies by causing certain characters to be replaced at a document if such characters are likely to be an error. For example, documents generated using speech-to-text technology or Optical Character Recognition (OCR) technology often contain character errors. A scoring threshold may be utilized to determine one or more characters are not being correctly represented in the document. Alternatively or additionally, various embodiments recommend multiple character sequences as candidates to replace other characters and a user may select which of the candidates will be used for replacement.

Abstract: In some implementations, a method includes extracting message attributes of an email associated with a user from the email. User interaction data is identified that is generated by the user in association with display of the email based on sensor data from one or more sensors. It is determined that the user interaction data corresponds to a routine of the user based on a routine-related aspect generated from a user routine model representing the routine. A time to present a notification of the email is determined based on the routine. The notification is provided to the user on a user device based on the determined time to present the notification.

Abstract: Systems, methods, and computer-readable storage media are provided for sharing user-information with bots. An automated task to be performed on behalf of a user is determined from at least one user message provided to a user interface of a first bot. A second bot is determined that is capable of performing the automated task on behalf of the user. User information of the user to provide to the second bot for the performing of the automated task is determined. Content of the user information is based on a trust level of the second bot and service parameters for completing the automated task. The first bot provides the determined user information to the second bot using one or more network communications.

Abstract: In some implementations, a method includes extracting completion criteria of an action item and parameters of the completion criteria from a message portion of a user message between users. In response to determining, from sensor data provided by one or more sensors associated with a user, the user practices a routine; a routine-related aspect is generated from a user routine model of the user for the routine. In is inferred at least one of the extracted completion criteria of the action item is unsatisfied based on the extracted parameters and the identified routine-related aspect. Based on the inferring, a notification is provided to at least one user associated with the action item.

Abstract: Aspects of the technology described herein provide a personalized computing experience for a user based on a user-visit-characterized venue profile. In particular, user visits to a venue are determined. For those visits, user characteristics and/or visit characteristics are determined. User similarities and visit features similarities may be determined and associated with the venue to form the user-visit-characterized venue profile. The user-visit-characterized venue profile may be provided to an application or service such as a personal assistant service associated with the user, or may be provided as an API to facilitate consumption of the user-visit-characterized venue profile by an application or service.

Abstract: In some implementations, a method includes extracting completion criteria of an action item and parameters of the completion criteria from a message portion of a user message between users. In response to determining, from sensor data provided by one or more sensors associated with a user, the user practices a routine; a routine-related aspect is generated from a user routine model of the user for the routine. In is inferred at least one of the extracted completion criteria of the action item is unsatisfied based on the extracted parameters and the identified routine-related aspect. Based on the inferring, a notification is provided to at least one user associated with the action item.

Abstract: Aspects of the technology described herein improve the clarity of information provided in automatically generated notifications, such as reminders, tasks, alerts or other messages or communications provided to a user. The clarity may be improved through augmentations that provide additional information or specificity to the user. For example, instead of providing a notification reminding the user, “remember to send the slides before the meeting,” the user may be provided with a notification reminding the user “remember to send the updated sales presentation before the executive committee meeting on Tuesday. The augmentation may take several forms including substituting one word in the notification with another more specific word, adding additional content such as a word or phrase to the notification without altering the existing content, and/or by rephrasing the content for grammatical correctness and/or clarity.

Abstract: Systems, methods, and computer-readable storage media are provided for automating personalized out-of-the-box and ongoing in-application settings. A triggering event is detected for an exchange of information between an information service and one or more application or service. A trust level and domain of information of the one or more application or service is determined. Based on the trust level and domain of information, information to be shared with the one or more application or service is identified and the identified information is shared. The information to be shared can be all of the requested information, some of the requested information, or none of the requested information.

Abstract: Aspects of the technology described herein allocate limited computing resources, such as available bandwidth and battery power, to transferring the most urgent and important data from a client device to an online service. Client devices have enormous amounts of information about the user's activities that could be communicated to the service at any given time. However, the wireless transfer of information uses available battery power and can consume a user's data plan. The technology described herein uses a model to determine how often information should be sent to a service. The model can also determine what information to send. Different models can be implemented in different scenarios. The different models can include different weighting that will produce different decisions given the same inputs.

Abstract: Computerized systems for synchronizing multiple calendars are provided. User activity is monitored via sensors and user devices associated with the user. Monitoring user activity includes detecting calendar activity associated with a set of calendars that includes a first calendar. A first calendar event associated with the first calendar is detected. A second calendar included in the set of calendars and associated with the first event is determined. The second calendar is determined based on the user activity, the first calendar, or the first event. The second calendar may be determined based on a synchronization profile associated with the first calendar. The second calendar is updated to include at least a portion of the first event. The first event is synchronized and/or shared with the second calendar. Only selective portions of the event data of the first event may be provided to the second calendar.

Abstract: Technology is disclosed for controlling the presentation of electronic messages on personal computing devices (i.e., user devices). A first electronic message is received. A determination is made whether any of a set of previously received electronic messages is related to the first electronic message. For the first electronic message, and any determined related electronic messages, a diagrammatic representation of the determined relationship of the first electronic message to the previously received electronic messages is generated for presentation on the user device, as well as identifiers indicating message relevance, message changes, and/or identification and presentation of any relevant supplemental information.

Abstract: Aspects of the technology described herein allocate limited computing resources, such as available bandwidth and battery power, to transferring the most urgent and important data from a client device to an online service. Client devices have enormous amounts of information about the user's activities that could be communicated to the service at any given time. However, the wireless transfer of information uses available battery power and can consume a user's data plan. The technology described herein uses a model to determine how often information should be sent to a service. The model can also determine what information to send. Different models can be implemented in different scenarios. The different models can include different weighting that will produce different decisions given the same inputs.

Abstract: Technologies described herein improve voice-based interaction technology and provide improved user experiences for computer-performed searching within voice-based applications. After receiving a voice command that involves performing a search operation in order to respond to the command, a more intuitive response may be generated and presented to the user. In particular, certain features or properties related to the search results are determined and utilized as discriminators. A discriminator may be provided in the response to the user to enable the user to distinguish between multiple search results, or to more readily confirm a particular result, provided by the computing system. In some instances, certain details of the search results may be omitted when generating the response. In this way, the computing system may present the user with a limited but more focused set of information that is more useful for making a decision and/or continuing the interaction with the computing system.

Abstract: The technology described herein manages communications received by a mobile computing device by ascertaining a user's availability to receive an incoming communication. The technology described herein can optimize the use of notification resources on a computing device to provide notifications only when a user is available to respond to a communication the notification announces. The user's availability to receive a communication can be inferred through the analysis of signal data that describes a present context of the mobile device and/or the mobile device's user. Upon determining a present level of availability, the technology described herein can take several different actions. The actions include generating an alternative notification for a newly received communication, generating no notification for a newly received communication, and communicating an automated “not available” message to the originator of a newly received communication.

Abstract: Systems and methods are provided for associating project entities with projects. In various implementations, user activity data is monitored based on sensor data from at least one user device associated with a user. From the monitored user activity data, entity features are determined of project entities corresponding to the user activity data. Time slots are extracted from the project entities. The time slots are clustered based the entity features of ones of the project entities corresponding to the time slots. The project entities are grouped into projects based on the clustered time slots. Project tags corresponding to the projects are applied to the project entities based on the grouping of the project entities. Content is personalized to the user based on the project tags applied to the project entities.

Abstract: Computerized systems are provided for automatically determining and providing enriched action items of an event, such as a meeting. Action items first may be determined and then enhanced or clarified in order to be more understandable by automatically modifying or supplementing the action item based on contextual information, such as related meeting discussion. Action items may be further enhanced through clarification by determining boundaries of their occurrence(s) so that extraneous content not related to the action items or not helpful for user understanding is deemphasized or excluded from presentation to the user. Some embodiments comprise an intelligent graphical user interface with functionality for receiving user feedback. The feedback can be employed to reconfigure the logic, such as machine learning models, utilized to determine the enriched action items to improve accuracy.

Abstract: Technology is disclosed for improving user privacy and providing user control over user-activity data collected from personal computing devices (i.e., user devices). User devices may be configured to operate in a private mode that enables a user to control, for example, which aspects of user-activity data are provided to applications and services running on their user device; to obscure or modify aspects of user-activity data so that certain applications and services, which may require this information to operate, may still function, but that the obscured information provided to these applications and services preserves user privacy or no longer may be used to identify the user; or to remove evidence of user-activity data created, monitored, reported, or otherwise collected by or on the user device while the user is operating their user device in the private mode setting.

Abstract: Computerized systems are provided for automatically determining action items of an event, such as a meeting. The determined action items may be personalized to a particular user, such as a meeting attendee, and may include contextual information enabling the user to understand the action item. In particular, a personalized action item may be determined based in part from determining and utilizing particular factors in combination with an event dialog, such as an event speaker's language style; user role in an organization; historical patterns in communication; event purpose, name, or location; event participants, or other contextual information. Particular statements are evaluated to determine whether the statement likely is or is not an action item. Contextual information may be determined for action items, which then may be provided to the particular user during or following the event.