Abstract:
Techniques to leverage data from mobile headers are described. In one embodiment, for example, an apparatus may comprise a network component, a data component, and a web component. The network component may be operative to receive a request for a web page from a phone, the request transmitted using one or more network packets, and to transmit the web page to the phone. The data component may be operative to extract a phone number from a header of the one or more network packets. The web component may be operative to customize the web page based on the extracted phone number. Other embodiments are described and claimed.
Abstract:
Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
Abstract:
Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
Abstract:
Techniques for communicating notifications to subscribers are described. An apparatus may comprise a channel component and a notification component. The channel component may be operative to receive an event from a social networking service to communicate to a subscriber of the social networking service and to determine one or more channels of a plurality of channels by which to communicate the event to the subscriber according to rankings associated with each channel, the rankings specific to the subscriber and determined according to subscriber history. The notification component may be operative to construct a notification based on the event and to transmit the notification to the subscriber using the determined one or more channels. Other embodiments are described and claimed.
Abstract:
Techniques to leverage data from mobile headers are described. In one embodiment, for example, an apparatus may comprise a network component, a data component, and a web component. The network component may be operative to receive a request for a web page from a phone, the request transmitted using one or more network packets, and to transmit the web page to the phone. The data component may be operative to extract a phone number from a header of the one or more network packets. The web component may be operative to customize the web page based on the extracted phone number. Other embodiments are described and claimed.
Abstract:
Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
Abstract:
Techniques to increase engagement with a social networking system. In one embodiment, activities are prioritized based on relatedness to a user. References associated with at least a portion of the prioritized activities are created. The references are categorized into a plurality of types. The reference types may include notifications, friend identifications, and top stories. The references are embedded in digest communications for the user. Descriptive information about the activities are omitted from the digest communications. Digest communications for the user are provided during a time period when the user is not engaged with the social networking system. Notifications for a user are ceased when a level of engagement of the user with the social networking system is less than a threshold value.
Abstract:
Techniques to increase engagement with a social networking system. In one embodiment, activities are prioritized based on relatedness to a user. References associated with at least a portion of the prioritized activities are created. The references are categorized into a plurality of types. The reference types may include notifications, friend identifications, and top stories. The references are embedded in digest communications for the user. Descriptive information about the activities are omitted from the digest communications. Digest communications for the user are provided during a time period when the user is not engaged with the social networking system. Notifications for a user are ceased when a level of engagement of the user with the social networking system is less than a threshold value.
Abstract:
Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
Abstract:
Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.