Method and device for house source recall based on commuting to find a house

Abstract

The present invention provides a house source recall method and device based on commuting to find a house. The method includes: obtaining a list of communities that meet commuting screening conditions; wherein, the commuting screening conditions include commuting destinations; The commuting time of the commuting destination is ring-segmented; the cells in the ring-shaped area after the ring-segmentation are clustered to obtain a clustering set corresponding to the ring-shaped area; House information, for the client to render the house information on the map. The house source recall method and device based on commuting to find a house provided by the present invention divide the communities that meet the commuting conditions in a ring according to the commuting time, and then obtain multiple cluster sets respectively, and recall the area where each cluster in the cluster set is located. The housing information is displayed in parallel, which is conducive to displaying the clustering results of housing resources that meet the requirements of different commuting times, and improves the accuracy of the display of housing resources for commuting.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a house source recall method and device based on commuting house hunting. Background technique [0002] At present, the mainstream map information recall models in the market use urban areas and business districts as clustering models to recall housing sources. The division of urban areas and business districts is often the inherent boundary of the city. However, many urban areas cover a wide range. Concentrated in a small part of the urban area or business district, but when the bubbles are displayed, the bubbles are often located in the center of the area. For commuting and house hunting, which require a relatively high distance, this way of recalling listings is easy to make Users are confused and cannot intuitively see the distribution of recalled listings. Contents of the invention [0003] Aiming at the problems existing in the prior art, the present invention ...

AI Technical Summary

Problems solved by technology

[0002] At present, the mainstream map information recall models in the market use urban areas and business districts as clustering models to recall housing sources. The division of urban areas and business districts is often the inherent boundary of the city. However, many urban areas cover a wide range. Concentrated in a small part of the urban area or business district, but when the bubbles are displayed, the bubbles are often located in the center of the area. For commuting and house hunting, which require a relatively high distance, this way of recalling listings is easy to make Users are confused and cannot intuitively see the distribution of recalled listings

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