1. A computer implemented method of incorporating author feedback on placement of advertising in a webpage comprising: receiving, by at least one computer, a webpage created by an author and at least one cluster of candidate advertisements, wherein the webpage comprises content and the candidate advertisements are topically similar to the content of the webpage; ranking, by the computer, the candidate advertisements by degree of topical similarity to the webpage content; pairing, by the computer, the ranked candidate advertisements to the webpage content; receiving, by the computer, feedback provided by the author of the webpage regarding the placement of the candidate advertisements within the webpage, wherein the feedback comprises at least one of a binary opinion of the author on relevance of the candidate advertisement to the webpage and a binary opinion of the author on appropriateness of the candidate advertisement to the webpage; retrieving, by the computer, a credibility score corresponding to click-through rates of previous advertisements upon which feedback has been provided; ranking, by the computer, the candidate advertisements based on the feedback of the author and the credibility score; selecting, by the computer, at least one advertisement from among the candidate advertisements for incorporation into the webpage; transmitting, by the computer, the selected advertisement to a user; receiving, at the computer, a selection of a link corresponding to the incorporated advertisement; wherein if the author has a credibility score, incrementing, by the computer, the author credibility score based on the selection of the link; and wherein if the author does not have a credibility score, creating, by the computer, the author credibility score based on the selection of the link.