Abstract: In a social networking system, photographs and photographic sets are recommended to a user based upon information gathered from the user's social networking profile, as well as information gathered from the social networking profile of the user's friends, and the general pattern of usage by the user of various elements of the social network. In one embodiment, information entered into the social networking profile of the user is used to recommend additional photos and sets of photos. In one embodiment, user preferences indicated by the user via elements of the social network are considered in recommending photos or photo sets. In one embodiment, the general usage pattern of the social network is considered when recommending additional photos and sets of photos to the user. In one embodiment, profile information, usage information, or the indicated preferences of the user's friends are used to recommend additional photos and photo sets.

Abstract: Techniques to increase engagement with a social networking system. In one embodiment, an engagement level of a user with a social networking system is monitored. A low engagement user type associated with the user is identified from a plurality of low engagement user types. It is determined whether the engagement level of the user is less than a threshold. If so, a communication is provided for the user based on the low engagement user type associated with the user. The communication may be a notification or a digest communication.

Abstract: A method for generating a personalized language model using a language translation (LT) computing device is provided. The method includes collecting, by the LT computing device, a plurality of communications from at least one data source in network communication with the LT computing device, coding the collected plurality of communications based on dimensions of the collected communications, determining a style of communication from the plurality of communications based on each dimension, and populating a data structure corresponding to the personalized language model with the dimensions and style of communication.

Abstract: In a social networking system, photographs and photographic sets are recommended to a user based upon information gathered from the user's social networking profile, as well as information gathered from the social networking profile of the user's friends, and the general pattern of usage by the user of various elements of the social network. In one embodiment, information entered into the social networking profile of the user is used to recommend additional photos and sets of photos. In one embodiment, user preferences indicated by the user via elements of the social network are considered in recommending photos or photo sets. In one embodiment, the general usage pattern of the social network is considered when recommending additional photos and sets of photos to the user. In one embodiment, profile information, usage information, or the indicated preferences of the user's friends are used to recommend additional photos and photo sets.

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: In a social networking system, photographs and photographic sets are recommended to a user based upon information gathered from the user's social networking profile, as well as information gathered from the social networking profile of the user's friends, and the general pattern of usage by the user of various elements of the social network. In one embodiment, information entered into the social networking profile of the user is used to recommend additional photos and sets of photos. In one embodiment, user preferences indicated by the user via elements of the social network are considered in recommending photos or photo sets. In one embodiment, the general usage pattern of the social network is considered when recommending additional photos and sets of photos to the user. In one embodiment, profile information, usage information, or the indicated preferences of the user's friends are used to recommend additional photos and photo sets.

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, an engagement level of a user with a social networking system is monitored. A low engagement user type associated with the user is identified from a plurality of low engagement user types. It is determined whether the engagement level of the user is less than a threshold. If so, a communication is provided for the user based on the low engagement user type associated with the user. The communication may be a notification or a digest communication.

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, an engagement level of a user with a social networking system is monitored. A low engagement user type associated with the user is identified from a plurality of low engagement user types. It is determined whether the engagement level of the user is less than a threshold. If so, a communication is provided for the user based on the low engagement user type associated with the user. The communication may be a notification or a digest communication.

Abstract: In a social networking system, photographs and photographic sets are recommended to a user based upon information gathered from the user's social networking profile, as well as information gathered from the social networking profile of the user's friends, and the general pattern of usage by the user of various elements of the social network. In one embodiment, information entered into the social networking profile of the user is used to recommend additional photos and sets of photos. In one embodiment, user preferences indicated by the user via elements of the social network are considered in recommending photos or photo sets. In one embodiment, the general usage pattern of the social network is considered when recommending additional photos and sets of photos to the user. In one embodiment, profile information, usage information, or the indicated preferences of the user's friends are used to recommend additional photos and photo sets.

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, an engagement level of a user with a social networking system is monitored. A low engagement user type associated with the user is identified from a plurality of low engagement user types. It is determined whether the engagement level of the user is less than a threshold. If so, a communication is provided for the user based on the low engagement user type associated with the user. The communication may be a notification or a digest communication.