Housing resource recommendation method and a server

A recommendation method and house source technology, applied in the direction of equipment, commerce, sales/lease transactions, etc., can solve problems such as missing satisfactory house types, improving house transaction efficiency, and unfavorable user experience, so as to reduce house viewing time, The effect of improving transaction efficiency

Inactive Publication Date: 2019-04-19
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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  • Housing resource recommendation method and a server
  • Housing resource recommendation method and a server
  • Housing resource recommendation method and a server

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] 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:

[0044] 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.

[0045] 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

[0087] 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 image 3 , image 3 A schematic structural diagram of a server provided in this embodiment, the server includes a processor 31, a memory 32, and a communication bus 33;

[0088] The communication bus 33 is used to realize connection and communication between the processor 31 and the memory 32;

[0089] The processor 31 is used to execute one or more programs stored in the memory 32, so as to realize the steps of the house source recommendation method as described in the first embodiment.

[0090] Optionally, the memory 32 stores five parts: house type information database, user's access record database to house types, user location record database, house type collection record database, and customer database with investment intentions.

[0091] Among them, the house type information data...

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Abstract

The invention provides a housing resource recommendation method and a server, and the method comprises the steps: obtaining the historical access records of a to-be-recommended client for each housingtype when a recommendation starting instruction is received, the historical access records comprising at least one of the number of housing type access times, the number of clicks, and the access duration; Calculating a preference value of the to-be-recommended client for each house type according to the historical access record, and selecting one house type from the house types according to thepreference values as a reference house type of the to-be-recommended client; And calculating the similarity between each to-be-matched house type in the to-be-matched house type library and the reference house type, selecting the to-be-matched house type with the similarity meeting a preset relationship as a recommended candidate house type, and sending the recommended candidate house type recommendation to the to-be-recommended client. Intelligent recommendation of house types is achieved, browsing of clients can be more targeted, and house watching time is shortened. In addition, intelligentrecommendation is carried out according to customer preferences, and the house transaction efficiency can be improved.

Description

technical field [0001] The invention relates to the technical field of real estate, in particular to a house source recommendation method 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 experience is also not...

Claims

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Application Information

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