Microsoft Technology Licensing, LLC

Other

Dikla Dotan-Cohen

Ido Priness

Haim Somech

Assaf Avihoo

Jonathan Rabin

Shira Weinberg

Ido Cohn

Hadas Bitran

Sagi Hilleli

Daniel Avigdor

Lilach Perry

Liron Levin

Adar Vit

Eyal Kolman

Gal Lavee

Limor Lahiani

Oded Vainas

Boaz Sapir

Anat Inon

Amitay Dror

Tom Braude

Michal Yarom Zarfati

Ran Bernstein

Inbal Budowski Tal

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.

Notifications of action items in messages

Technology is disclosed for controlling the processing of electronic communications on computing devices. An electronic communication is processed to determine mentions in the message body indicating recipients of the communication. A point-of-view (POV) is determined for each mention, with respect to recipient(s), as second-person or third-person POV. The communication is parsed into sections, and the mentions that are associated with each section are determined. Based on the POV for a mention associated with a section, it is determined that the section is directed to the recipient(s) indicated by the mention, if the POV of the mention is second-person POV, or the section is relevant to the recipient(s) indicated by the mention, if the POV of the mention is third-person POV. Additionally, an enhanced communication data is generated indicating the sections and corresponding POVs of mentions associated with the sections, and used to provide a personalized computing experience to users.

Processing electronic communications according to recipient points of view

Computerized systems and methods are provided for automatically detecting an indication that a task has been completed and associated user interface functionality. These systems and methods improve existing technologies by automatically detecting indications that tasks have been completed via new logic or rules and improving the functionality and computing resource consumption relative to existing machine learning models. These systems also improve the way computers operate by reducing computing resource consumption, such as memory, network latency, I/O, and the like.

Intelligent task completion detection at a computing device

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.

Privacy control operation modes

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.

Notifications based on user interactions with emails

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.

Sharing user information with and between bots

Technology for interoperability is disclosed by enabling the sharing of application state data for an application experience across computing devices, operating systems, applications, or locations. In one aspect, a secondary application shares encrypted state data along with a non-encrypted hint that describes the application experience reflected in the state data with a primary application. The primary application is then able to use the hint to determine that a user is interested in returning to the experience in the secondary application. The primary application then transfers the encrypted state data to the secondary application, which uses the state data to return the application to the application experience. A platform and an application programming interface (API) are provided for computer applications and services to store and retrieve application state data associated with an event.

Multi-application state navigation

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.

Characterizing a place by features of a user visit

A user activity pattern may be ascertained using signal data from a set of computing devices. The activity pattern may be used to infer user intent with regards to a user interaction with a computing device or to predict a likely future action by the user. In one implementation, a set of computing devices is monitored to detect user activities using sensors associated with the computing devices. Activity features associated with the detected user activities are determined and used to identify an activity pattern based on a plurality of user activities having similar features. Examples of user activity patterns may include patterns based on time, location, content, or other context. The inferred user intent or predicted future actions may be used to provide improved user experiences, such as personalization, modifying functionality of user devices, or providing more efficient consumption of bandwidth or power.

Enhanced computer experience from activity prediction

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.

Augmentation of notification details

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.

Automated personalized out-of-the-box and ongoing in-application settings

Pieces of location history data corresponding to an identified place of interest are obtained. Each piece of the obtained location history data references one or more signals detected at the identified place of interest and also references temporal data that corresponds to the detected signal(s). Some of the obtained pieces of location history data that represent one or more short, pass-through visits at the identified place of interest are identified. Based on the identified pieces that represent the short visit(s), conditions for determining the intent of future detected location visits at the identified place of interest are generated. The generated conditions can then be employed to determine that a detected location visit of a particular computing device determined to be at the identified place of interest is an extended visit as opposed to a short visit.

Personalized identification of visit start

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.

Multi-calendar harmonization

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.

Growing community of inventors

Herzliya, Israel

Dikla Dotan-Cohen