House resource recommendation method and device and server

A recommendation method and technology for housing listings, applied in the fields of instruments, electrical digital data processing, buying and selling/rental transactions, etc., can solve the problems of missing a more satisfactory house type, improve the efficiency of house transaction, and detrimental user experience, so as to reduce the cost of viewing. Room time, the effect of improving transaction efficiency

Inactive Publication Date: 2019-04-23
重庆锐云科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to the large amount of housing information on the online viewing platform, users cannot browse and view all housing types, and users usually can only browse some housing types

Method used

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  • House resource recommendation method and device and server
  • House resource recommendation method and device and server
  • House resource recommendation method and device and server

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0052] Example 1:

[0053] In order to improve the customer experience and improve the efficiency of the customer's house purchase process, we now use the viewing platform as the carrier, the house type as the minimum recommendation unit, and the house type characteristics and customer information as the content to provide a method of housing recommendation. See figure 1 , figure 1 A schematic flowchart of a house listing recommendation method provided in this embodiment, the method includes the following steps:

[0054] S101. When receiving the recommendation start instruction, obtain the historical access records of the customers to be recommended to each house type, where the historical access records include at least one of the number of visits to the apartment type, the number of clicks, and the access duration.

[0055] When a customer browses house information on the network viewing platform through a user terminal (such as a mobile phone, PAD, etc.), the user termina...

Example Embodiment

[0108] Embodiment 2:

[0109] Based on the first embodiment, this embodiment provides a house listing recommendation device, which is used to implement the steps of the house listing recommendation method described in the first embodiment. See image 3 , image 3 A schematic structural diagram of a housing recommendation device provided in this embodiment, the housing recommendation device includes:

[0110] The data acquisition module 31 is configured to acquire the historical access records of the customers to be recommended to each house type when receiving the recommendation start instruction, and the historical access records include at least one of the number of visits to the apartment type, the number of clicks, and the access duration;

[0111] The benchmark house type establishment module 32 is used to calculate the preference values ​​of the customers to be recommended for each house type according to the historical access records, and select N (the N is greater th...

Example Embodiment

[0117] Embodiment three:

[0118] Based on the first embodiment, this embodiment provides a server for implementing the steps of the house listing recommendation method described in the first embodiment. See Figure 4 , Figure 4 A schematic structural diagram of a server provided in this embodiment, the server includes a processor 41, a memory 42 and a communication bus 43;

[0119] The communication bus 43 is used to realize the connection communication between the processor 41 and the memory 42;

[0120] The processor 41 is configured to execute one or more programs stored in the memory 42, so as to implement the steps of the method for recommending a house listing as described in the first embodiment.

[0121] Optionally, the memory 42 stores five parts: a house type information database, a user's access record database to the house type, a user's location record database, a house type collection record database, and a customer database with investment intentions.

[0...

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Abstract

The invention provides a house resource recommendation method and device and a server. By utilizing the historical access records of clients, the historical access record can reflect the preference ofthe user for each house type, so that the client reference house type can be accurately determine. The method is characterized by determining a candidate house type set based on the similarity between the to-be-matched house type in the to-be-matched house type library and each reference house type, and then obtaining a target recommended house type according to the coverage rate of each candidate house type set and the collected house type, thereby recommending at least part of the house type of the target recommended house type to the to-be-recommended client. According to the present invention, the intelligent recommendation of house types is achieved, a client does not need to browse and check all the house types on the house viewing platform, the intelligent recommendation is conducted through the server, the browsing of the client can be more targeted, and the house viewing time is shortened. In addition, the intelligent recommendation is carried out according to customer preferences, and the house transaction efficiency can be improved.

Description

technical field [0001] The present invention relates to the technical field of real estate, in particular to a house source recommendation method, device and server. Background technique [0002] In order to facilitate house buyers to browse and view house information in real time and avoid the need to spend a lot of time through on-site house inspections, many intermediary service providers and housing developers have developed online house inspection platforms. Users can directly view houses on the Internet. Browse housing information, such as real estate location, price, apartment type, surrounding facilities, etc., so that users can learn about housing dynamics anytime, anywhere. [0003] Due to the large amount of housing information on the online viewing platform, users cannot browse and view all housing types, and users usually can only browse some housing types, which may lead to missing satisfactory housing types, which is not conducive to upgrading The user experi...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q30/06G06Q50/16
CPCG06Q30/0631G06Q50/16
Inventor 李琦宋卫东
Owner 重庆锐云科技有限公司
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