Abstract: A system and method for integrating a journal associated with a user into a calendar is disclosed. The journal application includes a calendar module, a metadata module, a user preference engine, an action engine, a suggestion engine and a user interface engine. The calendar module receives one or more goals set by the user and creates one or more events in the calendar. The metadata module aggregates one or more types of metadata associated with the user and the one or more events. The user preference engine associates a sharing level with the one or more types of metadata. The action engine executes one or more actions based on the one or more types of metadata. The suggestion engine determines an effect of the one or more actions on the one or more goals set by the user and provides one or more suggestions to the user.

Abstract: Systems, device and techniques are disclosed for automatically determining a permission setting that indicates whether a permission is granted or denied to the application. The automatic determination may be made based on a previous selection by a user. Alternatively, an indication of a permission may be provided to a user and an indication of a permission setting may be received from the user. The permission setting received from the user may be assigned to a permission to an application. Permissions provided to a user may be ordered in a list based on permission or application popularity or frequency.

Abstract: Computer-implemented methods and systems for adjusting ride-sharing schedules and/or routes can include accessing a ride-sharing schedule for a ride-sharing vehicle. The ride-sharing schedule can include planned stops for one or more route locations at one or more predetermined stop times. An adjustment request seeking adjustment of one or more route locations and/or predetermined stop times of the ride-sharing schedule can be received. An adjustment cost associated with the adjustment request can be determined to provide an indication of the impact of the adjustment request to initial passengers of the ride-sharing vehicle. An adjustment request response based at least in part on the adjustment cost can be generated to provide as a notification output to indicate a decision relative to the adjustment request.

Abstract: Systems, device and techniques are disclosed for automatically determining a permission setting that indicates whether a permission is granted or denied to the application. The automatic determination may be made based on a previous selection by a user. Alternatively, an indication of a permission may be provided to a user and an indication of a permission setting may be received from the user. The permission setting received from the user may be assigned to a permission to an application. Permissions provided to a user may be ordered in a list based on permission or application popularity or frequency.

Abstract: Systems and methods for determining room types for regions of a map are provided. One example method includes determining, by a client computing device, a current location of the client computing device. The method includes obtaining, by the client computing device, one or more audio samples describing ambient audio around the client computing device. The method includes analyzing, by the client computing device, the one or more audio samples to identify one or more room characteristics associated with the current location of the client computing device. A room type is identified for a room associated with the current location of the client computing device based at least in part on the one or more room characteristics. One example system includes a plurality of client computing devices and one or more server computing devices.

Abstract: Implementations of the disclosure describe inferring social groups through patterns of communication. A method of the disclosure includes ascertaining, by a processing device, a proposed group of contacts from contacts of the user based on a correlation in geographic locations of communications between the user and the proposed group of contacts and a correlation in a type of medium of the communications, providing a recommendation that the user create a new list of contacts associated with the user from the proposed group of contacts, and responsive to the user indicating acceptance of the recommendation, creating the new list of contacts associated with the user from the proposed group.

Abstract: A latency analysis system determines a latency period, such as a wait time, at a user destination. To determine the latency period, the latency analysis system receives location history from multiple user devices. With the location histories, the latency analysis system identifies points-of-interest that users have visited and determines the amount of time the user devices were at a point-of-interest. For example, the latency analysis system determines when a user device entered and exited a point-of-interest. Based on the elapsed time between entry and exit, the latency analysis system determines how long the user device was inside the point-of-interest. By averaging elapsed times for multiple user devices, the latency analysis system determines a latency period for the point-of-interest. The latency analysis system then uses the latency period to provide latency-based recommendations to a user. For example, the latency analysis system may determine a shopping route for a user.

Abstract: Software authenticates the user of a social networking service which maintains one or more lists of contacts associated with the user that can be used by the user to selectively share content. The software ascertains a proposed group of contacts from at least one of the lists. The user and members of the proposed group are related by a plurality of communications and the communications are associated with one or more attributes including at least one of geographic locations associated with the communication, time of communication, or medium of communication. The software presents the proposed group of contacts to the user, with a recommendation that the user create a new list of contacts associated with the user from the proposed group of contacts. The software creates the new list of contacts from the proposed group, if the user indicates acceptance of the recommendation.

Abstract: A latency analysis system determines a latency period, such as a wait time, at a user destination. To determine the latency period, the latency analysis system receives location history from multiple user devices. With the location histories, the latency analysis system identifies points-of-interest that users have visited and determines the amount of time the user devices were at a point-of-interest. For example, the latency analysis system determines when a user device entered and exited a point-of-interest. Based on the elapsed time between entry and exit, the latency analysis system determines how long the user device was inside the point-of-interest. By averaging elapsed times for multiple user devices, the latency analysis system determines a latency period for the point-of-interest. The latency analysis system then uses the latency period to provide latency-based recommendations to a user. For example, the latency analysis system may determine a shopping route for a user.

Abstract: An electronic device may generate use related information and resource consumption related information corresponding to each of used applications used in the electronic device. The use related information and the resource consumption related information may then be transmitted to a remote applications manager, which may analyze the information to generate, based on the analysis, specially tailored application recommendations. The application recommendations may list one or more other applications, newly available or offered, which may be recommended for download to and/or use in the electronic device. The analysis of the use and the resource consumption information may comprise ranking the used applications, such as based on use patterns and/or resource consumption, and/or classification of the used applications, such as based on application type.

Abstract: Embodiments generally relate to obtaining event reviews. In one embodiment a method includes receiving location data corresponding to a location of a device and receiving temporal data corresponding to a time when the device was at the location. The method also includes obtaining event information based on the location data and the temporal data, and generating a user interface on the device to permit reviews of an event associated with the event information. The method also includes generating one or more prompts based on the location data and the temporal data.

Abstract: Embodiments generally relate to obtaining event reviews. In one embodiment a method includes receiving location data corresponding to a location of a device and receiving temporal data corresponding to a time when the device was at the location. The method also includes obtaining event information based on the location data and the temporal data, and generating a user interface on the device to permit reviews of an event associated with the event information. The method also includes generating one or more prompts based on the location data and the temporal data.

Abstract: A latency analysis system determines a latency period, such as a wait time, at a user destination. To determine the latency period, the latency analysis system receives location history from multiple user devices. With the location histories, the latency analysis system identifies points-of-interest that users have visited and determines the amount of time the user devices were at a point-of-interest. For example, the latency analysis system determines when a user device entered and exited a point-of-interest. Based on the elapsed time between entry and exit, the latency analysis system determines how long the user device was inside the point-of-interest. By averaging elapsed times for multiple user devices, the latency analysis system determines a latency period for the point-of-interest. The latency analysis system then uses the latency period to provide latency-based recommendations to a user. For example, the latency analysis system may determine a shopping route for a user.

Abstract: Techniques for enabling users of a social networking application or service to share information and additional resources with other users of the service are provided. A content item from a first user of the social networking service is registered as a resource within the social networking service. In response to receiving a query for the content item from a second user of the social networking service, the availability of the resource associated with the first user is determined for use by the second user. A notification indicating the availability of the resource is sent to a device of the second user. The notification may include a current geographic location of the first user, which can be graphically represented on a digital map displayed at the device of the second user.

Abstract: A system and method for automatically providing an indication of network delay is disclosed. Software integrated into a user device is configured to identify one or more network delay indications with respect to an HTTP communication made over a network communication path, and automatically performing a network diagnostic test in response to the one or more network delay indications. The network diagnostic test generates connection information for the network communication path, and the user device provides the connection information for display to a user in a web browser.

Abstract: Methods and systems are provided for selecting and serving content, such as promotional content, to a user in accordance with a shopping interest of the user, location information for the user (e.g., location information associated with the user's mobile device), or both. A content delivery system is configured to make inferences on which promotional content to deliver to a user based on different types of signals. These signals include, for example, regular geolocation signals (e.g., GPS), fine-grained geolocation signals (e.g., DGPS, site-specific or site-provided signals, etc.), near-field communication (NFC) signals, purchase information signals, browsing history signals, and any combination of such signals. A shopping interest of a user is determined based on location information and/or transaction information indicating whether or not the user has not conducted a related transaction in a time period.

Abstract: Systems, device and techniques are disclosed for automatically determining a permission setting that indicates whether a permission is granted or denied to the application. The automatic determination may be made based on a previous selection by a user. Alternatively, an indication of a permission may be provided to a user and an indication of a permission setting may be received from the user. The permission setting received from the user may be assigned to a permission to an application. Permissions provided to a user may be ordered in a list based on permission or application popularity or frequency.

Abstract: A system and method for integrating a journal associated with a user into a calendar is disclosed. The journal application includes a calendar module, a metadata module, a user preference engine, an action engine, a suggestion engine and a user interface engine. The calendar module receives one or more goals set by the user and creates one or more events in the calendar. The metadata module aggregates one or more types of metadata associated with the user and the one or more events. The user preference engine associates a sharing level with the one or more types of metadata. The action engine executes one or more actions based on the one or more types of metadata. The suggestion engine determines an effect of the one or more actions on the one or more goals set by the user and provides one or more suggestions to the user.

Abstract: A system and method for automatically providing an indication of network delay is disclosed. Software integrated into a user device is configured to identify one or more network delay indications with respect to an HTTP communication made over a network communication path, and automatically performing a network diagnostic test in response to the one or more network delay indications. The network diagnostic test generates connection information for the network communication path, and the user device provides the connection information for display to a user in a web browser.

Abstract: A computing device described may determine a current speed of the computing device, and, responsive to determining that the current speed of the computing device satisfies a threshold speed, determine whether a current geographic location of the computing device is within with an uncommon stopping area, the uncommon stopping area being a geographic area in which less than a threshold number of other computing devices have been determined to have previously stopped. The computing device may also, responsive to determining that the current geographic location of the computing device is within the uncommon stopping area and responsive to determining that assistance-type information is relevant to the user of the computing device, determine, based on the current geographic location, assistance information relevant to the current geographic location, and output, for display, the assistance information.