1. A system for indexing an advertisement in order to match the advertisement to a webpage, the system comprising: a communications interface configured to receive click-through rate (CTR) data for an advertisement; a processor and memory communicatively coupled to the communications interface configured to: extract an advertisement feature from the advertisement and a webpage feature from the webpage that are relevant to each other, via a variable selection technique that includes at least one of: selection of the advertisement feature and the webpage feature using CTR data and views of the advertisement, or selection of the advertisement feature and the webpage feature using relevance scores of words of the advertisement that are independent of click feedback; calculate a coefficient representative of the relevancy between the advertisement feature and the webpage feature; compute a static score for the advertisement by using the CTR data and the coefficient as input to a logistic regression function, wherein the static score provides relevance of the advertisement feature with respect to the webpage feature, and wherein the logistic regression function uses a monotonically increasing linear function; generate a unique identification for the advertisement feature; and generate a unique advertisement identification for the advertisement according to the static score relative to other advertisements.
1. A system for indexing an advertisement in order to match the advertisement to a webpage, the system comprising: a communications interface configured to receive click-through rate (CTR) data for an advertisement; a processor and memory communicatively coupled to the communications interface configured to: extract an advertisement feature from the advertisement and a webpage feature from the webpage that are relevant to each other, via a variable selection technique that includes at least one of: selection of the advertisement feature and the webpage feature using CTR data and views of the advertisement, or selection of the advertisement feature and the webpage feature using relevance scores of words of the advertisement that are independent of click feedback; calculate a coefficient representative of the relevancy between the advertisement feature and the webpage feature; compute a static score for the advertisement by using the CTR data and the coefficient as input to a logistic regression function, wherein the static score provides relevance of the advertisement feature with respect to the webpage feature, and wherein the logistic regression function uses a monotonically increasing linear function; generate a unique identification for the advertisement feature; and generate a unique advertisement identification for the advertisement according to the static score relative to other advertisements. 2. The system of claim 1 , wherein the monotonically increasing linear function is optimized by iterative scaling function.