A method and apparatus for delivering services to a crowd

Abstract

The embodiment of the specification discloses a method and a device for delivering services to a crowd based on a prediction model. The method comprises the following steps: acquiring a plurality of first crowds and acquiring corresponding group characteristics of each first crowd; inputting the group characteristics into a prediction model, respectively, to obtain respective scores of the plurality of first crowds from an output of the model, the scores predicting a weighted sum of a click-through rate and a usage rate of the service by the first crowd; and determining a delivery crowd of theservice to deliver the service based on respective scores of the plurality of first crowds.

Description

technical field [0001] The embodiments of this specification relate to the field of machine learning technology, and more specifically, to a method and device for delivering services to people based on a prediction model, and a method and device for training the prediction model. Background technique [0002] In the Internet, it is a very common marketing method to conduct business marketing to the crowd based on Internet data. In marketing activities, a large number of labels can usually be generated through qualitative research methods, and different groups of people can be established according to the labels. For example, by studying the user life cycle, we divide the process from potential customer to user to churn into 7 stages. If there are 3-10 significant features in each stage, then the entire user life cycle may have more than 3^7 feature combinations As a result, in actual marketing activities, the results of qualitative research cannot be directly applied to the...

AI Technical Summary

Problems solved by technology

For example, by studying the user life cycle, we divide the process from potential customer to user to churn into 7 stages. If there are 3-10 significant features in each stage, then the entire user life cycle may have more than 3^7 feature combinations As a result, in actual marketing activities, the results of qualitative research cannot be directly applied to the circle of people, and only some people can be found for marketing through manual sampling.

In addition, especially for newly established business platforms, due to the lack of sufficient data accumulation, traditional marketing schemes such as tag circle people and algorithm circle people cannot obtain effective marketing effects

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