| 主权项 |
1. A computerized method of estimating click through rate (CTR) of a recommendation, the recommendation is presented in at least one source; the source comprising a plurality of slots, each slot configured to present a served recommendation; wherein the computer comprises at least one processor and is operatively connected to a data-repository; the method comprising, with the help of the at least one processor:
performing data collection process, comprising for a given recommendation, serving the given recommendation in multiple page views in different slots of one or more sources; maintaining in the data repository a respective first data collection counter for counting the number of clicks on the given recommendation when served in any one of the one or more sources; maintaining in the data repository a respective second data collection counter such that each time the given recommendation is served in any given slot of any one of the one or more sources, a CTR coefficient of the given slot is added to the second data collection counter;
wherein the CTR coefficient is a value assigned to each slot presented in page views of a calibration group which are served randomly with recommendations;the CTR coefficient is based on a ratio between a first counter and a second counter; the first counter counting the number of recommendations which are served randomly in a slot being part of the calibration group and the second counter counting the number of clicks on the recommendations served in the slot; wherein during the data collection process, serving the recommendation in one or more sources, each source having one or more slots, does not increase the number of the first data collection counters and the number of the second data collection counters assigned to each recommendation; and determining an estimated CTR of the given recommendation in all served slots based on the ratio between the second data collection counter and the first data collection counter. |
