Catering friend edge influence prediction method based on multivariate linear regression

A technology of multiple linear regression and forecasting methods, applied in forecasting, other database retrieval, network data retrieval, etc., can solve problems such as poor reliability, and achieve good prediction results

Active Publication Date: 2017-07-14
ZHEJIANG UNIV OF TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the poor reliability of the existing predictive methods for the influence of friends in the catering industry, the present invention proposes a more reliable prediction method for the influence of friends in the catering industry based on multiple linear regression

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  • Catering friend edge influence prediction method based on multivariate linear regression
  • Catering friend edge influence prediction method based on multivariate linear regression
  • Catering friend edge influence prediction method based on multivariate linear regression

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Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings.

[0021] refer to figure 1 and figure 2 , a method for predicting the influence of friends in the catering industry based on linear regression. This patent takes the study of users and restaurants in yelp as an example. The original data records the information of each user and restaurant, and extracts the corresponding features to determine the influence of friends. modeling analysis.

[0022] The following embodiments describe the present invention in detail in conjunction with the accompanying drawings, as figure 1 Shown, the present invention comprises the following steps:

[0023] S1: Obtain the user's friend relationship information from the catering website;

[0024] S2: According to the user's friend relationship information, establish a friend relationship weighted undirected graph G = (V, E);

[0025] S3: Use the established friend relationship graph to o...

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Abstract

The invention provides a catering friend edge influence prediction method based on multivariate linear regression, and belongs to the field of data mining. Firstly a friend network diagram is established according to the friend relationship; then the topological characteristics in the friend network are extracted; the general characteristics of the user are considered, and non-topological characteristic information in the friend relationship is extracted; and connection of each characteristic and the final user friend relationship is obtained by using a multivariate linear regression model. The method comprises the steps that the characteristics are selected according to the data set, and a prediction model is established by using the linear regression method. According to the catering friend edge influence prediction method based on multivariate linear regression, the topological characteristics in the friend network and the overall non-topological characteristics of the user are integrally considered so that the friend edge influence can be predicted.

Description

technical field [0001] The invention relates to data mining and data analysis technology, in particular to a method for predicting the influence of friends in the catering industry based on multiple linear regression. Background technique [0002] With the rapid development of computer technology and Internet technology, information dissemination methods are becoming more and more abundant, and the speed of dissemination is also increasing. Online social applications and media are also rapidly spreading. Numerous websites such as Facebook, Twitter and domestic Sina Weibo, With the rapid rise of WeChat and Tencent.com, online social networks have connected our daily life with the network information space. Online social networks store a large amount of user information, social relationships between users, and interactions between users. These massive social data have great research value, and also have broad application prospects in advertising and recommendation systems. Th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00G06Q50/12G06F17/30
CPCG06Q10/04G06Q50/01G06Q50/12G06F16/951
Inventor 宣琦虞烨炜赵明浩郑永立傅晨波翔云吴哲夫
Owner ZHEJIANG UNIV OF TECH
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