CLICK THROUGH RATE PREDICTION USING A PROBABILISTIC LATENT VARIABLE MODEL

摘要

Methods and systems are provided for predicting click through rate in connection with a particular user, keyword-based query, and advertisement using a probabilistic latent variable model. Click through rate may be predicted based on historical sponsored search activity information. Predicted click through rate may be used as a factor in determining advertisement rank.