House resource information recommendation method, apparatus and device, and readable storage medium

Abstract

The embodiment of the invention relates to the field of communication, and discloses a housing resource information recommendation method, which comprises the steps of obtaining a behavior track of atarget user; generating a user behavior portrait corresponding to the target user according to the behavior track of the target user and a user behavior portrait recognition model; determining a matched first house resource information list from a house resource information base according to the user behavior portrait; determining a second house resource information list from a house resource information base according to the basic information of the user; determining a first house resource information weight according to the user behavior portrait, determining a second house resource information weight according to the basic information, and weighting the first house resource information weight and the second house resource information weight to obtain a target house resource informationweight; determining optimal house resource information according to the target house resource information weight, the first house resource information list and the second house resource information list; and recommending the optimal house resource information and the target house resource information list to the target user. According to the embodiment of the invention, the related house resourceinformation can be recommended to the user more accurately.

Description

technical field

[0001] The embodiments of the present invention relate to the field of communication technology, and in particular to a method, device, equipment, and readable storage medium for recommending housing information. Background technique

[0002] At present, when real estate agents communicate with customers, because the brokers do not know the customers, they need to communicate with the customers repeatedly to dig out the intentions of the customers, which leads to a longer maintenance cycle.

[0003] In addition, users with different needs need different housing information. Since the precise needs of users cannot be known, brokers cannot find accurate customers and cannot recommend housing information that meets customer needs, resulting in customer loss.

[0004] Furthermore, with the continuous optimization of network channels, usually an application will have multiple channels such as application programs, web pages, applets, and public accounts at the sam...

Examples

Embodiment Construction

[0072] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein.

[0073] figure 1 A flow chart of an embodiment of a method for recommending house source information is shown in the present invention, and the method is executed by a device for recommending house source information. It should be noted that the device recommended by the listing information can be functionalized in the server, or can be an independent device, which is not specifically limited here. Such as figure 1 As shown, the method includes the following steps:

[0074] Step 110: Obtain the target user's behavior track, the behavior track includes the number of times the target user browses the first target page, th...

technical field

[0001] The embodiments of the present invention relate to the field of communication technology, and in particular to a method, device, equipment, and readable storage medium for recommending housing information. Background technique

[0002] At present, when real estate agents communicate with customers, because the brokers do not know the customers, they need to communicate with the customers repeatedly to dig out the intentions of the customers, which leads to a longer maintenance cycle.

[0003] In addition, users with different needs need different housing information. Since the precise needs of users cannot be known, brokers cannot find accurate customers and cannot recommend housing information that meets customer needs, resulting in customer loss.

[0004] Furthermore, with the continuous optimization of network channels, usually an application will have multiple channels such as application programs, web pages, applets, and public accounts at the sam...

Examples

Embodiment Construction

[0072] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein.

[0073] figure 1 A flow chart of an embodiment of a method for recommending house source information is shown in the present invention, and the method is executed by a device for recommending house source information. It should be noted that the device recommended by the listing information can be functionalized in the server, or can be an independent device, which is not specifically limited here. Such as figure 1 As shown, the method includes the following steps:

[0074] Step 110: Obtain the target user's behavior track, the behavior track includes the number of times the target user browses the first target page, th...

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