Systems, methods and computer-accessible mediums can be provided that can determine an audience interest distribution(s) of content(s) by, for example, receiving first information related to a web behavior(s) of a user(s), determining second information related to a user interest distribution(s) of the user(s) based on the first information, and determining determine the audience interest distribution(s) of the content(s) based on the second information.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A non-transitory computer-accessible medium having stored thereon computer-executable instructions for determining at least one audience interest distribution of at least one content, wherein, when a computer hardware arrangement executes the instructions, the computer arrangement is configured to perform procedures comprising: receiving first information related to at least one behavior of at least one user; determining second information related to at least one user interest distribution of the at least one user based on the first information; and determining the at least one audience interest distribution of the at least one content based on the second information. 2. The computer-accessible medium of claim 1, wherein the computer arrangement is further configured to determine the audience interest distribution based on at least one probabilistic model of the second information. 3. The computer-accessible medium of claim 2, wherein the at least one probabilistic model includes a maximum likelihood estimator. 4. The computer-accessible medium of claim 1, wherein the at least one content includes at least one webpage. 5. The computer-accessible medium of claim 1, wherein the behavior includes a web behavior of the at least one user. 6. The computer-accessible medium of claim 5, wherein the web behavior includes substantially anonymous web behavior. 7. The computer-accessible medium of claim 1, wherein the behavior includes visits by the at least one user to at least one webpage. 8. The computer-accessible medium of claim 7, wherein the computer arrangement is further configured to determine the second information based on a plurality of topical interest categories associated with the at least one webpage. 9. The computer-accessible medium of claim 7, wherein the computer arrangement is further configured to determine the second information based on a plurality of topical interest categories associated with the second webpage. 10. The computer-accessible medium of claim 1, wherein the user interest distribution includes further information related to inherent preferences by the at least one user for at least one particular topic of interest. 11. The computer-accessible medium of claim 1, wherein the at least one user interest distribution includes a plurality of user interest distributions, and wherein the computer arrangement is further configured to determine the audience interest distribution using a weighted mean of the user interest distributions. 12. The computer-accessible medium of claim 11, wherein the weighted mean is based on an expected number of views of the at least one content. 13. The computer-accessible medium of claim 1, wherein the computer arrangement is further configured to model the at least one user interest distribution using at least one matrix, and wherein each row vector of the at least one matrix represents the at least one user's user interest distribution and each column of the at least one matrix represents a category's audience interest for all users. 14. The computer-accessible medium of claim 1, wherein the computer arrangement is further configured to determine the at least one audience interest distribution based on a multinomial distribution model. 15. The computer-accessible medium of claim 1, wherein the computer arrangement is further configured to determine the second information by inferring the at least one user interest distribution based on an inference model. 16. The computer-accessible medium of claim 15, wherein the inference model is an estimation of the at least one user's inherent interest distribution based on the at least one behavior of the at least one user. 17. The computer-accessible medium of claim 15, wherein the computer arrangement is further configured to generate the inference model by probabilistically modeling visits of the at least one user to a plurality of websites. 18. The computer-accessible medium of claim 1, wherein the computer arrangement is further configured to model the behavior of the at least one user using at least one bipartite graph. 19. The computer-accessible medium of claim 1, wherein the at least one behavior excludes information related to the at least one content. 20. A method for determining at least one audience interest distribution of at least one content, comprising: receiving first information related to at least one web behavior of at least one user; determining second information related to at least one user interest distribution of the at least one user based on the first information; and using a computer hardware arrangement, determining the at least one audience interest distribution of the at least one content based on the second information. 21-38. (canceled) 39. A system for determining at least one audience interest distribution of at least one content, comprising: a computer processing arrangement configured to: receive first information related to at least one web behavior of at least one user; determine second information related to at least one user interest distribution of the at least one user based on the first information; and determine the at least one audience interest distribution of the at least one content based on the second information. 40-60. (canceled)