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House renting recommendation method and device, electronic equipment and storage medium

A recommendation method, a technology for renting houses, applied in the field of deep learning, knowledge graph, and artificial intelligence, which can solve problems such as difficulties in renting houses for users, inconvenient work, and ignorance of company commuting conditions

Pending Publication Date: 2021-06-04
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for most users who want to rent a house, especially young people who have just graduated, they are often unfamiliar with their places of life. They don’t know where their colleagues live, and they don’t know how the commuting conditions are near the company. Convenient for work and so on
However, due to reality, they have to find a house that is convenient for work and affordable in a short period of time.
Obviously, the current housing search products on the market cannot meet the needs of users, making the user's journey of renting a house even more difficult

Method used

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  • House renting recommendation method and device, electronic equipment and storage medium
  • House renting recommendation method and device, electronic equipment and storage medium
  • House renting recommendation method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] figure 1 It is a schematic flow chart of the method for recommending a house in the embodiment of the present application. The method can be executed by a device or electronic device for renting a house. The device or electronic device can be implemented by software and / or hardware. The device or electronic device can be integrated In any smart device with network communication function. Such as figure 1 As shown, the renting recommendation method may include the following steps:

[0031] S101. Receive a destination and a housing rental requirement input by the current user; wherein, the housing rental requirement at least includes: commuting time and housing rental fee.

[0032] In this step, the electronic device may receive the destination and rental requirements input by the current user; wherein, the rental requirements include at least: commuting time and rental fees. Specifically, the electronic device may provide the current user with at least three input box...

Embodiment 2

[0039] figure 2 It is a second schematic flow chart of the method for renting a house recommendation provided in the embodiment of the present application. Further optimization and expansion based on the above technical solution, and may be combined with each of the above optional implementation modes. Such as figure 2 As shown, the renting recommendation method may include the following steps:

[0040] S201. Obtain group decision-making characteristics of destinations, and user group characteristics of each residential area.

[0041] In this step, the electronic device can acquire the group decision-making features of the destination and the user group features of each residential area; where the group decision-making features are used to represent the distribution characteristics of the crowd arriving at the destination, including but not limited to: Area information, business district information or community information of the crowd at the destination; user group charac...

Embodiment 3

[0052] Figure 4 It is a schematic flowchart of the third flowchart of the rental house recommendation method provided in the embodiment of the present application. Further optimization and expansion based on the above technical solution, and may be combined with each of the above optional implementation modes. Such as Figure 4 As shown, the renting recommendation method may include the following steps:

[0053] S401. Receive a destination and a housing rental requirement input by the current user; wherein, the housing rental requirement at least includes: commuting time and housing rental fee.

[0054] S402. Input the destination and rental requirements input by the current user into the pre-trained recommendation model; output the current user's search results based on the pre-built rental knowledge map through the recommendation model.

[0055] S403. Based on the group decision-making characteristics of the destination, the user group characteristics of each residential...

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Abstract

The invention discloses a house renting recommendation method and device, electronic equipment and a storage medium, and relates to the field of artificial intelligence, in particular to the field of deep learning and knowledge maps. The specific implementation scheme comprises the steps: receiving a destination and a house renting requirement input by a current user, wherein the house renting requirement at least comprises commuting time and house renting cost; inputting the destination and the house renting requirement input by the current user into a pre-trained recommendation model; outputting a search result of the current user based on a pre-constructed house renting knowledge graph through the recommendation model; and if the search result of the current user comprises the information of the at least one candidate housing resource, recommending the information of the at least one candidate housing resource to the current user. According to the embodiment of the invention, house renting requirements of different users can be met, personalized, reasonable and intelligent recommendation effects are achieved, and the users are helped to complete a final house renting decision.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and further relates to the technical field of deep learning and knowledge graph, especially a method, device, electronic device and storage medium for renting a house recommendation. Background technique [0002] Clothing, food, housing and transportation are the most basic demands of people's life, among which renting a house related to living is a topic that most young people cannot avoid nowadays. According to statistics, more and more people who want to rent a house will use the method of online housing search to find a place of residence that is convenient for work. However, the online housing search products on the market are usually difficult to meet the needs of these people. Users often need to spend a lot of time and energy to continuously screen, ask colleagues and friends, and on-site inspections to find a house that meets their needs; Some users only found o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q50/16
CPCG06F16/9535G06Q50/16G06Q30/0631G06N5/022G06N3/04G06N5/02G06Q30/0625
Inventor 卓安陈俞刘欢李帅王佳李春风杨维陈浩张澍
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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