Friend-making scene-based recommendation model training method and device, electronic equipment and computer readable storage medium

The invention relates to a friend-making scene-based recommendation model training method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of: obtaining a user behavior data set of a friend-making recommendation page of a target application prog...

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1. Verfasser: CAI CHENGJIA
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creator CAI CHENGJIA
description The invention relates to a friend-making scene-based recommendation model training method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of: obtaining a user behavior data set of a friend-making recommendation page of a target application program within a preset time; screening a first sample set from the user behavior data set to train a preset click rate estimation model, and obtaining the click rate estimation model, wherein the click rate estimation model outputs click probability parameters obtained by executing maximum likelihood calculation on the user behavior data set; performing initialization on a recommendation model to be trained based on the click probability parameter to obtain an initialized recommendation model; and constructing a second sample set based on a user behavior data set, and substituting the second sample set into the initialized recommendation model for training to obtain the recommendation model. The embodiment of the inve
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The method comprises the steps of: obtaining a user behavior data set of a friend-making recommendation page of a target application program within a preset time; screening a first sample set from the user behavior data set to train a preset click rate estimation model, and obtaining the click rate estimation model, wherein the click rate estimation model outputs click probability parameters obtained by executing maximum likelihood calculation on the user behavior data set; performing initialization on a recommendation model to be trained based on the click probability parameter to obtain an initialized recommendation model; and constructing a second sample set based on a user behavior data set, and substituting the second sample set into the initialized recommendation model for training to obtain the recommendation model. 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The method comprises the steps of: obtaining a user behavior data set of a friend-making recommendation page of a target application program within a preset time; screening a first sample set from the user behavior data set to train a preset click rate estimation model, and obtaining the click rate estimation model, wherein the click rate estimation model outputs click probability parameters obtained by executing maximum likelihood calculation on the user behavior data set; performing initialization on a recommendation model to be trained based on the click probability parameter to obtain an initialized recommendation model; and constructing a second sample set based on a user behavior data set, and substituting the second sample set into the initialized recommendation model for training to obtain the recommendation model. The embodiment of the inve</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Friend-making scene-based recommendation model training method and device, electronic equipment and computer readable storage medium
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