Targeted Online Advertising
First Claim
1. A method of targeted online advertising, the method comprising:
- providing stored user information of a plurality of users, the stored user information of each user including at least one of a user identifier, personal information and behavioral information of the user, the behavioral information of each user including the user'"'"'s activities of selecting and viewing advertisements or webpages;
layering the plurality of users into a plurality of user layers each including at least one user, each user layer being defined by a set of delimiting conditions with respect to values of a set of properties related to the stored user information;
determining a favorite advertisement type of each user layer;
receiving a current user information of a current visiting user;
identifying from the plurality of user layers a target user layer to which the current visiting user belongs according to the current user information of the visiting user;
selecting a targeted advertisement at least partially based on one or more of the favorite advertisement type of the target user layer, the current user information of the current visiting user, and the stored user information associated with the current visiting user; and
presenting the targeted advertisement to the current visiting user.
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Abstract
A method of targeted online advertising provides to a user advertisements that meet the user preferences. The method stores user information of users, organize the users into user layers, identifies the stored user information of a visiting user based on a user identifier, and identify a target user layer associated with the visiting user. The method then determines a targeted advertisement type for the visiting user based on the favorite advertisement type of the target user layer and the user information of the current visiting user, and accordingly selects a targeted advertisement to be presented to the visiting user. The user information of the visiting user and the related user layer(s) are updated with the new user information including the records of the user'"'"'s visit activities. The method provides targeted ads to users, and improves the click rates and the efficiency of the online advertisements.
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Citations
19 Claims
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1. A method of targeted online advertising, the method comprising:
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providing stored user information of a plurality of users, the stored user information of each user including at least one of a user identifier, personal information and behavioral information of the user, the behavioral information of each user including the user'"'"'s activities of selecting and viewing advertisements or webpages; layering the plurality of users into a plurality of user layers each including at least one user, each user layer being defined by a set of delimiting conditions with respect to values of a set of properties related to the stored user information; determining a favorite advertisement type of each user layer; receiving a current user information of a current visiting user; identifying from the plurality of user layers a target user layer to which the current visiting user belongs according to the current user information of the visiting user; selecting a targeted advertisement at least partially based on one or more of the favorite advertisement type of the target user layer, the current user information of the current visiting user, and the stored user information associated with the current visiting user; and presenting the targeted advertisement to the current visiting user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system of targeted online advertising, the system comprising:
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a storage device for storing stored user information of a plurality of users, the stored user information of each user including at least one of a user identifier, personal information and behavioral information of the user, the behavioral information of each user including the user'"'"'s activities of selecting and viewing advertisements; a user layering module for layering the plurality of users into a plurality of user layers each including at least one user, each user layer being defined by a set of delimiting conditions regarding values of a set of properties related to the stored user information; a user interface for receiving a current user information of a current visiting user; and a user behavior mining module for identifying from the plurality of user layers a target user layer to which the current visiting user belongs according to the current user information of the visiting user, determining a favorite advertisement type of the target user layer, and selecting a targeted advertisement type for the current visiting user at least partially based on one or a combination of the favorite advertisement type of the target user layer, the current user information of the current visiting user, and stored user information associated with the current visiting user, wherein the user interface is further used for presenting the targeted advertisement to the current visiting user. - View Dependent Claims (18)
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19. A system of targeted online advertising, the system comprising a processor and one or more computer readable media, wherein the one or more computer readable media have stored thereon stored user information of a plurality of users, the stored user information of each user including at least one of a user identifier, personal information and behavioral information of the user, the behavioral information of each user including the user'"'"'s activities of selecting and viewing advertisements or webpages, and wherein the one or more computer readable media have further stored thereupon a plurality of instructions that, when executed by the processor, causes the processor to:
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layer the plurality of users into a plurality of user layers each including at least one user, each user layer being defined by a set of delimiting conditions regarding values of a set of properties related to the user information; determine a favorite advertisement type of each user layer; receive a current user information of a current visiting user; identify from the plurality of user layers a target user layer to which the current visiting user belongs according to the current user information of the visiting user; select a targeted advertisement at least partially based on one or a combination of the favorite advertisement type of the target user layer, the current user information of the current visiting user, and the stored user information associated with the current visiting user; and present the targeted advertisement to the current visiting user.
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Specification