Recommending repeated transactions
AssigneeCertona Corporation
InventorsBenjamin S. Farber, Geoffrey J. Hueter, Zachariah A. Freitas
Life of this patent
Estimating the term…
Loading patent…
AssigneeCertona Corporation
InventorsBenjamin S. Farber, Geoffrey J. Hueter, Zachariah A. Freitas
Estimating the term…
A computer implemented web-based system and computer implemented web-based method is disclosed for recording, repeated transactions of objects or groups of objects by subjects, utilizing the duration between transactions to predict the next transaction time of an object by a subject, and recommending the object to the subject based on the predicted next transaction time. The system can also classify object according to their replenishment behavior and make product recommendations based on the class of objects a subject shows interest in. Objects include movies, books, songs, commercial products, news articles, advertisements or any other type of content or physical item. The system has application in personalization, behavioral targeting, Internet retailing, and interactive radio, to name but a few applications.
A computer implemented web-based method for recommending repeated transactions, comprising the steps of:
A computer implemented web-based system for classifying and recommending products according to the frequency with which transactions for that product are repeated and the propensity a product will appear more than once in separate transactions by the same subject, by computing the Average Replenishment Rate and Weighted Average Replenishment Rate for every product pj.
Dependencies are inferred from the claim text.