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Geographic feature-based real estate recommendation method

A technology of geographic features and recommendation methods, applied in geographic information databases, data processing applications, electronic digital data processing, etc., to achieve the effect of alleviating the cold start problem

Inactive Publication Date: 2018-05-18
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

So far, little research work has focused on the real estate recommendation problem

Method used

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  • Geographic feature-based real estate recommendation method
  • Geographic feature-based real estate recommendation method
  • Geographic feature-based real estate recommendation method

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Embodiment Construction

[0039] The specific implementation of the present invention will be further described in detail in conjunction with the accompanying drawings.

[0040] like figure 1 As shown, the present invention discloses a real estate recommendation method based on geographic features, comprising the following steps:

[0041] Step 1), according to the property information of the real estate project, calculate the similarity between each real estate project (real estate) according to the geographic coordinate vector of the real estate;

[0042] Step 2), according to the similarity between each real estate project (real estate), construct the regularization term that comprises geographic feature;

[0043] Step 3), on the basis of the weight matrix decomposition model, combined with the regularization term including geographical features, using the stochastic gradient descent algorithm to learn the implicit feature vectors of users and real estate items;

[0044] Step 4) Use the inner produ...

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Abstract

The invention discloses a geographic feature-based real estate recommendation method. The method comprises the following steps of: firstly calculating similarities between real estate projects according to real estate project attribute information and building geographic coordinate vectors; constructing geographic feature-included regularization items according to the similarities between the realestate projects; learning implicit feature vectors of a user and the real estate projects by combining the geographic feature-included regularization items and adopting a random gradient descent algorithm on the basis of a weight matrix decomposition model; and finally predicting clicking frequencies, for non-clicked real estate projects, of the users by using an inner product of the implicit feature vectors of the user and the real estate projects, and providing a possible interested real estate information list for the user according to the prediction value. According to the method, the geographic feature information of real estate projects are fused on the basis of a weight matrix decomposition technology, and the execution process of weight matrix decomposition is restrained so that implicit feature vectors of the real estate projects can be learnt more correctly, and the cold starting problem in real estate recommendation is lightened.

Description

technical field [0001] The invention belongs to the technical field of data mining, and in particular relates to a method for recommending real estate based on geographic features. Background technique [0002] In recent years, the domestic real estate market has developed rapidly and has become an important force driving GDP growth. For example, in 2015, the added value of real estate accounted for 6.1% of China's total GDP; in 2016, the added value of real estate accounted for a further increase to 6.5%. In order to make it easier for homebuyers to buy a house, some network applications focusing on real estate information have appeared on the Internet, such as House365 and SouFun.com. In these network applications, service providers provide users with information such as real estate developers, geographical locations, prices, and floor area ratios. However, in the face of a large amount of real estate information, it is difficult for users to find the real estate they ar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/06G06Q50/16
CPCG06F16/29G06F16/9535G06Q30/0631G06Q50/16G06F2216/03
Inventor 余永红蒋晶赵卫滨崔鹏高海燕
Owner NANJING UNIV OF POSTS & TELECOMM
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