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, which may lead to missing satisfactory housing types, which is not conducive to upgrading The user experience is also not conducive to improving the efficiency of housing transactions

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

Embodiment 1

[0053] In order to improve the customer experience and improve the efficiency of the customer's house purchase process, a housing recommendation method is now provided with the house inspection platform as the carrier, the house type as the minimum recommendation unit, and the house type characteristics and customer information as the content. See figure 1 , figure 1 A flow diagram of a house source recommendation method provided in this embodiment, the method includes the following steps:

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

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

Embodiment 2

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

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

[0111] The benchmark house type building 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 than or equal to...

Embodiment 3

[0118] On the basis of the first embodiment, this embodiment provides a server for realizing the steps of the house source recommendation method described in the first embodiment above. 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 connection and communication between the processor 41 and the memory 42;

[0120] The processor 41 is used to execute one or more programs stored in the memory 42, so as to realize the steps of the house source recommendation method as described in the first embodiment.

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

[0122] Among them, the house type information data...

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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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