Abstract: An iterative method for optimizing targeted advertisement distribution for a social network including a plurality of users, the method including the steps of creating a user summary for a user by extracting persona attributes of a user account, generating a promotion summary for each of a plurality of advertisements, selecting an advertisement for the user based on the similarity between the promotion summary of the advertisement and the user summary, assessing a user reaction to the advertisement, and updating the user summary and promotion summary based on the user reaction.

Abstract: A method of targeted advertisement distribution based on persona data derived from a social network, wherein the social network includes a plurality of content streams, each content stream associated with a user and a user summary. The method includes the steps of receiving an advertisement request from a third party environment with associated content, identifying a content stream that includes a reference to the third party content, identifying a persona based on the user associated with the identified content stream, and serving an advertisement to the third party environment based on the identified persona.

Abstract: A method of targeted advertisement distribution based on persona data derived from a social network, wherein the social network includes a plurality of content streams, each content stream associated with a user and a user summary. The method includes the steps of receiving an advertisement request from a third party environment with associated content, identifying a content stream that includes a reference to the third party content, identifying a persona based on the user associated with the identified content stream, and serving an advertisement to the third party environment based on the identified persona.

Abstract: One embodiment of the invention includes a method for allocating an advertisement to a plurality of users within a social network ecosystem, wherein each user is associated with a user summary comprising a keyword describing a user attribute extracted from the social network, the method including the steps of selecting a user audience for each of the plurality of advertisements from the plurality of users by altering the advertisement summary based on the target audience and an audience restriction, associating the advertisement with each user of the user audience, prioritizing each the advertisement list of each user, and serving an advertisement to the user in response to an advertisement request for the user.

Abstract: A method and system for serving advertisements to a user of a social network, the social network being an internet based web platform with a plurality of user accounts, including creating a user summary by extracting implicit user attributes from a user account of the social network; creating a plurality of advertisement summaries composed in a format shared by the user summary; comparing the user summary to an advertisement summary to calculate a similarity score; and serving an advertisement to the user based on criteria related to the similarity score.

Abstract: An iterative method for optimizing targeted advertisement distribution for a social network including a plurality of users, the method including the steps of creating a user summary for a user by extracting persona attributes of a user account, generating a promotion summary for each of a plurality of advertisements, selecting an advertisement for the user based on the similarity between the promotion summary of the advertisement and the user summary, assessing a user reaction to the advertisement, and updating the user summary and promotion summary based on the user reaction.

Abstract: A method and system for dynamically responding to advertisement reactions of a user in social network that includes serving an initial advertisement to a user of a social network; gathering a response action of the user associated with the initial advertisement; categorizing a quality of the response action of the user; creating an advertiser response based on the quality of the response action; and sending the response to the user.

Abstract: A method of targeted advertisement distribution based on persona data derived from a social network, wherein the social network includes a plurality of content streams, each content stream associated with a user and a user summary. The method includes the steps of receiving an advertisement request from a third party environment with associated content, identifying a content stream that includes a reference to the third party content, identifying a persona based on the user associated with the identified content stream, and serving an advertisement to the third party environment based on the identified persona.

Abstract: A method and system for serving advertisements to a user of a social network, the social network being an internet based web platform with a plurality of user accounts, including creating a user summary by extracting implicit user attributes from a user account of the social network; creating a plurality of advertisement summaries composed in a format shared by the user summary; comparing the user summary to an advertisement summary to calculate a similarity score; and serving an advertisement to the user based on criteria related to the similarity score.

Abstract: One embodiment of the invention includes a method for allocating an advertisement to a plurality of users within a social network ecosystem, wherein each user is associated with a user summary comprising a keyword describing a user attribute extracted from the social network, the method including the steps of selecting a user audience for each of the plurality of advertisements from the plurality of users by altering the advertisement summary based on the target audience and an audience restriction, associating the advertisement with each user of the user audience, prioritizing each the advertisement list of each user, and serving an advertisement to the user in response to an advertisement request for the user.

Abstract: An iterative method for optimizing targeted advertisement distribution for a social network including a plurality of users, the method including the steps of creating a user summary for a user by extracting persona attributes of a user account, generating a promotion summary for each of a plurality of advertisements, selecting an advertisement for the user based on the similarity between the promotion summary of the advertisement and the user summary, assessing a user reaction to the advertisement, and updating the user summary and promotion summary based on the user reaction.

Abstract: A method of targeted advertisement distribution based on persona data derived from a social network, wherein the social network includes a plurality of content streams, each content stream associated with a user and a user summary. The method includes the steps of receiving an advertisement request from a third party environment with associated content, identifying a content stream that includes a reference to the third party content, identifying a persona based on the user associated with the identified content stream, and serving an advertisement to the third party environment based on the identified persona.

Abstract: A method and system for dynamically responding to advertisement reactions of a user in social network that includes serving an initial advertisement to a user of a social network; gathering a response action of the user associated with the initial advertisement; categorizing a quality of the response action of the user; creating an advertiser response based on the quality of the response action; and sending the response to the user.

Abstract: A method and system for serving advertisements to a user of a social network, the social network being an internet based web platform with a plurality of user accounts, including creating a user summary by extracting implicit user attributes from a user account of the social network; creating a plurality of advertisement summaries composed in a format shared by the user summary; comparing the user summary to an advertisement summary to calculate a similarity score; and serving an advertisement to the user based on criteria related to the similarity score.

Abstract: One embodiment of the invention includes a method for allocating an advertisement to a plurality of users within a social network ecosystem, wherein each user is associated with a user summary comprising a keyword describing a user attribute extracted from the social network, the method including the steps of selecting a user audience for each of the plurality of advertisements from the plurality of users by altering the advertisement summary based on the target audience and an audience restriction, associating the advertisement with each user of the user audience, prioritizing each the advertisement list of each user, and serving an advertisement to the user in response to an advertisement request for the user.

Abstract: A method of targeted advertisement distribution based on persona data derived from a social network, wherein the social network includes a plurality of content streams, each content stream associated with a user and a user summary. The method includes the steps of receiving an advertisement request from a third party environment with associated content, identifying a content stream that includes a reference to the third party content, identifying a persona based on the user associated with the identified content stream, and serving an advertisement to the third party environment based on the identified persona.

Abstract: A method of targeted advertisement distribution based on persona data derived from a social network, wherein the social network includes a plurality of content streams, each content stream associated with a user and a user summary. The method includes the steps of receiving an advertisement request from a third party environment with associated content, identifying a content stream that includes a reference to the third party content, identifying a persona based on the user associated with the identified content stream, and serving an advertisement to the third party environment based on the identified persona.

Abstract: One embodiment of the invention includes a method for allocating an advertisement to a plurality of users within a social network ecosystem, wherein each user is associated with a user summary comprising a keyword describing a user attribute extracted from the social network, the method including the steps of selecting a user audience for each of the plurality of advertisements from the plurality of users by altering the advertisement summary based on the target audience and an audience restriction, associating the advertisement with each user of the user audience, prioritizing each the advertisement list of each user, and serving an advertisement to the user in response to an advertisement request for the user.

Abstract: An iterative method for optimizing targeted advertisement distribution for a social network including a plurality of users, the method including the steps of creating a user summary for a user by extracting persona attributes of a user account, generating a promotion summary for each of a plurality of advertisements, selecting an advertisement for the user based on the similarity between the promotion summary of the advertisement and the user summary, assessing a user reaction to the advertisement, and updating the user summary and promotion summary based on the user reaction.

Abstract: A method and system for serving advertisements to a user of a social network, the social network being an internet based web platform with a plurality of user accounts, including creating a user summary by extracting implicit user attributes from a user account of the social network; creating a plurality of advertisement summaries composed in a format shared by the user summary; comparing the user summary to an advertisement summary to calculate a similarity score; and serving an advertisement to the user based on criteria related to the similarity score.