Foley & Lardner LLP
Selecting an algorithm for identifying similar user identifiers based on predicted click-through-rate
A computerized method, system for, and computer-readable medium operable to select an algorithm for generating models configured to identify similar user identifiers. A first plurality of models generated by a first algorithm is received. A plurality of lists of similar user identifiers is generated. User queries associated with user identifiers on the plurality of lists of similar user identifiers are identified. Predicted click-through rates for the user queries is received. An average predicted click-through rate is computed for each model based on the predicted click-through rates. A weighted average predicted click-through rate associated with the first plurality of models is computed. The weighted average predicted click-through rate for the first plurality of models can be compared to a weighted average predicted click-through rate for a second plurality of models generated by a second algorithm. The algorithm for generating models is selected based on the comparison.
Google Inc.
G
G06Q
inventional
Deepak Jia Yijian Sittichai Manojav Shankar
Ravichandran Liu Bai Jiampojamarn Patil Ponnekanti