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...

AI Technical Summary

Problems solved by technology

At present, there is no way to realize the corresponding push according to the channel that the user is accustomed to

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