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Resource sequencing method and device

A resource sorting and resource technology, applied in the Internet field, can solve problems such as the decrease of CTR accuracy, the inability to reflect the nonlinear correlation of the CTR estimation model, and the deterioration of the linear addition effect, so as to improve the user experience, optimize the sorting, and improve The effect of precision

Active Publication Date: 2016-07-27
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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Problems solved by technology

[0003] However, the above method cannot reflect the non-linear correlation between the various CTR prediction models, and when the magnitudes of the CTR prediction models are inconsistent, the effect of simply linearly adding the scores will become poor, resulting in the estimation of the CTR of the candidate resources. Accuracy drops

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Embodiment Construction

[0015] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0016] The method and device for sorting resources according to the embodiments of the present invention are described below with reference to the accompanying drawings.

[0017] figure 1 is a flowchart of a method for sorting resources according to an embodiment of the present invention.

[0018] like figure 1 As shown, resource ordering methods can include:

[0019] S1. Acquire candidate resources.

[0020] Wherein, the candidate resource may be a search result, or product information released by a merchant, and the like. ...

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Abstract

The invention discloses a resource sequencing method and device. The resource sequencing method comprises the following steps: acquiring candidate resources; calculating first click through rate (CTR) scores of the candidate resources based on a logistic regression (LR) model; calculating second CTR scores and uncertainty scores of the candidate resources based on a linear confidence upper limit LinearUCB model; inputting the first CTR scores, the second CTR scores and the uncertainty scores serving as input features into a gradient boosting decision tree (GBDT) model, and calculating pre-estimated scores of the candidate resources based on the GBDT model; and sequencing the candidate resources according to the pre-estimated scores. Through adoption of the resource sequencing method, the accuracy of CTR pre-estimation can be increased effectively, so that sequencing optimization of the candidate resources is realized; candidate resources more preferred by a user are presented preferentially; and the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a method and device for sorting resources. Background technique [0002] In fields such as Internet search engines, product or advertisement promotion, it is often encountered that there are many candidate resources, but only a limited number of candidate resources can be displayed each time. In order to give priority to displaying candidate resources that are most interesting to users, machine learning is mainly used to estimate the CTR (ClickThroughRate, click-through rate) of candidate resources at present, and the candidate resources are sorted according to CTR. For example, to calculate the CTR of a certain candidate resource, it is mainly to linearly add the scores of multiple CTR prediction models. [0003] However, the above method cannot reflect the non-linear correlation between the various CTR prediction models, and when the magnitudes of the CTR predicti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 陈浩王凡何径舟黄世维徐倩石磊
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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