MULTI-HEAD MACHINE LEARNING MODEL FOR LEAD AND QUALIFIED LEAD PREDICTION
개요
출원인
Microsoft Technology Licensing, LLC
발명자
Lijun PENG; Yingxia Shi; Ruoying Wang; Yi Zhang; Shawn F. Ren; Mindaou Gu; David Merrill Pardoe
IPC 분류
CPC 분류
In an example embodiment, a delayed qualified lead machine learning model is trained to predict, for any particular piece of interaction data, a likely delay between the interaction time and a time at which an indication of a qualified lead is provided (if one is to be provided). Thus, for example, the delayed qualified lead machine learning model may predict that, given a particular user's interaction with a particular piece of content, the user is likely to be labeled as a qualified lead within 40 days if the user will become a qualified lead at all. This prediction can then be used to exclude the interaction data from the training data for a separate machine learning model without excluding other pieces of interaction data whose predicted delays might have been shorter, helping alleviate the data scarcity issue.
원문 (중국어)
In an example embodiment, a delayed qualified lead machine learning model is trained to predict, for any particular piece of interaction data, a likely delay between the interaction time and a time at which an indication of a qualified lead is provided (if one is to be provided). Thus, for example, the delayed qualified lead machine learning model may predict that, given a particular user's interaction with a particular piece of content, the user is likely to be labeled as a qualified lead within 40 days if the user will become a qualified lead at all. This prediction can then be used to exclude the interaction data from the training data for a separate machine learning model without excluding other pieces of interaction data whose predicted delays might have been shorter, helping alleviate the data scarcity issue.