A method for operating a voice trigger is provided. In some implementations, the method is performed at an electronic device including one or more processors and memory storing instructions for execution by the one or more processors. The method includes receiving a sound input. The sound input may correspond to a spoken word or phrase, or a portion thereof. The method includes determining whether at least a portion of the sound input corresponds to a predetermined type of sound, such as a human voice. The method includes, upon a determination that at least a portion of the sound input corresponds to the predetermined type, determining whether the sound input includes predetermined content, such as a predetermined trigger word or phrase. The method also includes, upon a determination that the sound input includes the predetermined content, initiating a speech-based service, such as a voice-based digital assistant.

Voice trigger for a digital assistant

A social networking website logs information about actions taken by members of the website. For a particular member of the website, the website generates socially relevant ads for the member based on the actions logged for other members on the website to whom the member is connected (i.e., the member's online friends). The advertiser associated with the social ad may compensate the social networking website for publishing the ad on the website. When presenting a member with a social ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the social ad. The expected value may be computed according to a function that includes the member's affinity for the ad content and the bid amount. The technique is also applied for providing socially relevant information off the social networking website.

Social Advertisements and Other Informational Messages on a Social Networking Website, and Advertising Model for Same

A method and system for detecting anomalous action within a computer network is provided herein. The method starts with collecting raw data from at least one probe sensor that is associated with at least one router, switch or at least one server which are part of the computer network. Next, the raw data is being parsed and analyzed and meta-data is created from the raw data. Computer network actions are being identified based on existing knowledge about network protocols. The meta-data is associated with entities by analyzing the identified network actions and correlating between different computer network actions. Finally, creating at least one statistical model of the respective computer network said model including network actions' behavior pattern and online or batch detection of anomalous network actions associated with entities based on the statistical models.

A method for detecting anomaly action within a computer network

Display screen with animated graphical user interface

The WEARABLE INTELLIGENT VISION DEVICE APPARATUSES, METHODS AND SYSTEMS (“WIVD”) transform mobile device location coordinate information transmissions, real-time reality visual capturing, mixed gesture capturing, bio-sensor data via WIVD components into real-time behavior-sensitive product purchase related information, shopping purchase transaction notifications, and electronic receipts. In one implementation, the WIVD may provide a personal device in the form of a pair of eyeglasses, wherein the wearer of the eyeglasses may obtain various augmented reality views. The WIVD determines a user prior behavior pattern from the accessed user profile, and obtains user real-time in-store behavior data from the user mobile device.

Wearable Intelligent Vision Device Apparatuses, Methods and Systems

In one embodiment, a method includes accessing a social graph including a number of nodes and a number of edges connecting the nodes. Each of the edges between two of the nodes represent a single degree of separation between them. The nodes include a first node corresponding to a first user associated with an online social network and a number of second nodes that each correspond to a concept or a second user associated with the online social network. The method also includes generating a number of cards. Each card includes a suggested query referencing a query-domain associated with the online social network and zero or more query-filters for the query-domain. Each query-filter references one or more nodes of the number of nodes or one or more edges of the number of edges.

Generating recommended search queries on online social networks

A social network contains information describing information about members of the social network and about various connections among the members An external system that interacts with users (such as a website) communicates with the social network to access information about the members of the social network In particular, the external system may determine whether a user is a member of the social network and then obtain information about the member and the member's connections within the social network This allows an external system to use information from the social network to enhance a user's experience on the external system, while enforcing each member's privacy settings

Leveraging A Social Graph From A Social Network For Social Context In Other Systems

A social networking system includes a mechanism for incorporating nodes in the social graph, where the nodes are associated with a web page. Each web page includes one or more tags, which contain meta-information for defining the node in the social networking system, such as the type of the node. The social networking system retrieves the tags from the markup language document and stores their information in connection with the node for the web page. The web page may be outside of the social networking system's domain and may be operated by an entity other than the social networking operator; thus, third parties can define, create, and maintain nodes that are then used by the social networking system. Users may then interact with the nodes on websites outside of the social networking system, and these interactions are tracked by and reflected back within the social networking system.

Social graph that includes web pages outside of a social networking system

An external system (such as a website) that interacts with users communicates with a social networking system to access information about the users, who may also be users of the social networking system. If a privacy setting is changed in the social networking system, and the change applies to information that has been shared with an external system, the change is enforced at the external system. For example, the external system may be notified that the information is invalid and must be deleted, or the external system may periodically request the information so that changes to the privacy settings are eventually experienced at the external systems. When an external system again needs the information, whether expired naturally or actively invalidated by the social network, the external system sends a new request for the information, which is subject to the (possibly revised) privacy settings.

Dynamic enforcement of privacy settings by a social networking system on information shared with an external system

A social networking system contains information describing users of the social network and various connections among the users. A user can access multiple external systems that communicate with the social networking system to access information about the users of the social networking system. Login status of the user account on the social networking system is maintained. If the login status of the user account on the social networking system indicates that the user is not logged in, the user is required to provide authentication information. If the login status of the user account indicates that the user is logged in, social network information is provided to the user via an external system, subject to the privacy settings of users of the social networking system. If the user logs out from an external system, the user is also logged out from the social networking system.

Michael Vernal

Papers

Generating recommended search queries on online social networks

Leveraging A Social Graph From A Social Network For Social Context In Other Systems

Social graph that includes web pages outside of a social networking system

Dynamic enforcement of privacy settings by a social networking system on information shared with an external system

Single login procedure for accessing social network information across multiple external systems