Methods and systems for optimizing messages to users of a social network
First Claim
Patent Images
1. A method comprising:
- determining a type of user of an online system, the type identifying a subset of characteristics of users of the online system;
logging one or more user activities associated with users of the online system associated with the type, the user activities including one or more selected from a group consisting of;
responses by a user associated with the type to one or more messages sent to the user associated with the type, one or more times the user associated with the type is active on the social networking system, one or more activities performed by the user associated with the type, and any combination thereof;
identifying a message response prediction model for the type of user, the message response prediction using one or more selected from a group consisting of;
the logged one or more user activities associated with users associated with the type, one or more attributes of messages sent to users associated with the type, times when the messages were sent by the social networking system to users associated with the type, and any combination thereof;
identifying one or more candidate messages, each candidate message including a link associated with a desired activity;
determining a likelihood of the user associated with the type performing the desired activity included in each candidate message by applying the message response prediction model to each candidate message;
selecting a candidate message based at least in part on the determined likelihoods; and
sending the selected candidate message from the social networking system to the user associated with the type at a specified time based at least in part on the determined likelihood.
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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.
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Citations
20 Claims
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1. A method comprising:
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determining a type of user of an online system, the type identifying a subset of characteristics of users of the online system; logging one or more user activities associated with users of the online system associated with the type, the user activities including one or more selected from a group consisting of;
responses by a user associated with the type to one or more messages sent to the user associated with the type, one or more times the user associated with the type is active on the social networking system, one or more activities performed by the user associated with the type, and any combination thereof;identifying a message response prediction model for the type of user, the message response prediction using one or more selected from a group consisting of;
the logged one or more user activities associated with users associated with the type, one or more attributes of messages sent to users associated with the type, times when the messages were sent by the social networking system to users associated with the type, and any combination thereof;identifying one or more candidate messages, each candidate message including a link associated with a desired activity; determining a likelihood of the user associated with the type performing the desired activity included in each candidate message by applying the message response prediction model to each candidate message; selecting a candidate message based at least in part on the determined likelihoods; and sending the selected candidate message from the social networking system to the user associated with the type at a specified time based at least in part on the determined likelihood. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer program product comprising a non-transitory computer storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to:
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determine a type of user of an online system, the type identifying a subset of characteristics of users of the online system; log one or more user activities associated with users of the online system associated with the type, the user activities including one or more selected from a group consisting of;
responses by a user associated with the type to one or more messages sent to the user associated with the type, one or more times the user associated with the type is active on the social networking system, one or more activities performed by the user associated with the type, and any combination thereof;identify a message response prediction model for the type of user, the message response prediction using one or more selected from a group consisting of;
the logged one or more user activities associated with users associated with the type, one or more attributes of messages sent to users associated with the type, times when the messages were sent by the social networking system to users associated with the type, and any combination thereof;identify one or more candidate messages, each candidate message including a link associated with a desired activity; determine a likelihood of the user associated with the type performing the desired activity included in each candidate message by applying the message response prediction model to each candidate message; select a candidate message based at least in part on the determined likelihoods; and send the selected candidate message from the social networking system to the user associated with the type at a specified time based at least in part on the determined likelihood. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. A system comprising:
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at least one processor; and a memory storing instructions configured to instruct the at least one processor to; determine a type of user of an online system, the type identifying a subset of characteristics of users of the online system; log one or more user activities associated with users of the online system associated with the type, the user activities including one or more selected from a group consisting of;
responses by a user associated with the type to one or more messages sent to the user associated with the type, one or more times the user associated with the type is active on the social networking system, one or more activities performed by the user associated with the type, and any combination thereof;identify a message response prediction model for the type of user, the message response prediction using one or more selected from a group consisting of;
the logged one or more user activities associated with users associated with the type, one or more attributes of messages sent to users associated with the type, times when the messages were sent by the social networking system to users associated with the type, and any combination thereof;identify one or more candidate messages, each candidate message including a link associated with a desired activity; determine a likelihood of the user associated with the type performing the desired activity included in each candidate message by applying the message response prediction model to each candidate message; select a candidate message based at least in part on the determined likelihoods; and send the selected candidate message from the social networking system to the user associated with the type at a specified time based at least in part on the determined likelihood.
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Specification