Abstract: Aspects of the present disclosure relate to protecting the privacy of a user of a dispatching service for driverless vehicles. For example, a client computing device may send a request for a vehicle, the request identifying a location of the client computing device. Location information identifying a current location of a vehicle dispatched to the location of the client computing device is received in response to the request. A camera view is displayed on a display of the client computing device, the camera view corresponding to information in a field of view of a camera of the client computing device. When current location of the vehicle is within the field of view of the camera and a threshold distance of the location of the client device, an indicator is displayed on the display at a location corresponding to the current location of the vehicle.

Abstract: Aspects of the application relate to protecting the privacy of a user of a dispatching service for driverless vehicles. For example, a client computing device may send a request for a vehicle, the request identifying a location of the client computing device. Location information identifying a current location of a vehicle dispatched to the location of the client computing device is received in response to the request. A camera view is displayed on a display of the client computing device, the camera view corresponding to information in a field of view of a camera of the client computing device. When current location of the vehicle is within the field of view of the camera and a threshold distance of the location of the client device, an indicator is displayed on the display at a location corresponding to the current location of the vehicle.

Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

Abstract: A computer-implemented method for detecting a fraudulent payment transaction, including steps for receiving user location information, receiving user payment history information and building a predictive model, for a user, based on the user location information and the user payment history information. In certain aspects, the method further includes steps for receiving user status information in addition to a transaction event and evaluating the transaction event using the user status information and the predictive model to determine a likelihood that the transaction event is fraudulent. Systems and computer-readable media are also provided.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining search results that are responsive to a received query received from a user, identifying one or more topics associated with the query, determining that social annotations are to be displayed in a search results page based on at least one topic of the one or more topics and data associated with the user, and in response: providing an electronic document including instructions that, when executed by a computing device, cause the computing device to display an enhanced search results page comprising the search results and one or more social annotations, and transmitting the electronic document to a computing device associated with the user.

Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

Abstract: User content access management and control are described, including determining, based on a user-defined rule, that a triggering event has occurred, wherein the user-defined rule is associated with an account that belongs to the user, and the user-defined rule comprises an action to be performed based on a triggering event; and performing the action based on the triggering event, wherein the action affects access to the account.

Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

Abstract: A method and computing system for receiving, on a computing device, an access request from an application executing within an operating environment. The access request requests access to data associated with the operating environment. One or more temporal access options are presented to a user in response to the access request. A selected temporal access option is received from the user, chosen from the one or more temporal access options. Temporal access rights are granted to the application based, at least in part, upon the selected temporal access option.

Abstract: Internet-wide identity management is described, including providing a user interface associated with a service provider; receiving, by an identity provider, a request to login a user associated with the service provider, the service provider being different from the identity provider; providing, by the identity provider to the service provider, a login status indicating that the user is authenticated, wherein, based on the login status, the user is authorized by the service provider to access a service provided by the service provider; and providing a widget associated with the login status, the widget being configured to present one or more settings associated with the user, including a first setting and a second setting, wherein the first setting is used by the service provider and the second setting is used by another service provider and not used by the service provider, and the another service provider is different from the identity provider.

Abstract: Examples of user-triggered reactive emergency account protection are provided, including receiving a request from a first user to suspend online-account activity, wherein the online-account activity includes providing at least one other user with access to information associated with the first user; in response to the request, suspending the online-account activity so that the at least one other user cannot access the information associated with the first user; and providing online interactive guidance to the first user, so as to assist the first user to resume at least a portion of the online-account activity.

Abstract: The subject matter of this specification can be implemented in, among other things, a method for providing content suggestions based on an event. The method includes a step for receiving event metadata. The method also includes a step for retrieving interest profiles for a plurality of attendees or invitees from the list of attendees or invitees. The method also includes a step for determining attributes for the event based on the received event metadata. The method also includes a step for determining content suggestions based on the retrieved interest profiles and the determined attributes. The method also includes a step for providing one or more of the determined content suggestions for a user to manage the event.

Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

Abstract: Rule-based content filter is described, including receiving from a user an indication of an attempted posting of content to a target, wherein the attempted posting of the content by the user comprises at least one item provided by the user for display on a website to the target; selecting a rule associated with the user, wherein the rule is selected based on at least one of the content of the attempted posting and an identity of the target; applying the rule to the attempted posting to determine whether a condition applies, the condition relating to whether the attempted posting complies with the rule; when the condition applies, posting to the target; and when the condition does not apply, providing an indication to the user that the attempted post does not comply with the rule.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for initiating a client-side user model. A system is configured to receive instructions to initiate a client-side user model for a user, wherein the instructions include a device identifier and a user identifier, identify, based on the user identifier, a user model for the user, wherein the user model is stored on a data server and comprises information about the user, transmit the information about the user in the user model on the data server to a client device corresponding to the device identifier, and delete the user model on the data server.

Abstract: Aspects of the present disclosure relate to protecting the privacy of a user of a dispatching service for driverless vehicles. For example, a request for a vehicle identifying user information is received. A client computing device may be identified based on the user information. In response to the request, a driverless vehicle may be dispatched to the location of the client device. Signaling information may be generated based on a set of rules including a first rule that the signaling information does not identify, indirectly or directly, the user as well as a second rule that the signaling information does not identify, indirectly or directly, the user information. The location of the client computing device and the signaling information may be sent to the driverless vehicle for display. In addition, the signaling information may also be sent to the client computing device for display.

Abstract: Automatically fading online user content may include receiving digital content from a first user, the digital content associated with a first user-defined fading time indication; posting the digital content at a first time; associating, using the one or more computing devices, the first user-defined fading time indication with the digital content; receiving, at a second time, from a second user, a request to view the digital content, the second time being after the first time and the second user being distinct from the first user; determining the availability of the digital content based at least in part on the difference between the second time and the first time and the first user-defined fading time indication; and when the determined availability includes availability of one or more aspects of the digital content to the second user, providing for display to the second user the available one or more aspects.

Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

Abstract: An example implementation includes providing original content on a content source; inserting a unique content ID into content information associated with the original content; associating the original content with an author profile; detecting a following of the hyperlinks between the original content and a second content, via a content aggregation based on communication with the content source via a web index; applying a timestamp to the original content, and providing the original content having the timestamp to the web index.