Property shopping system capable of analyzing popularity in community

Abstract

This disclosure relates to a property shopping system capable of analyzing popularity in community, comprising at least one electronic device and at least one server. The server is communicated with the electronic device by data transfer. The server comprises a database, a receiving module, an analysis module, a selection module, a distributing module, and an output module. This disclosure provides buyers with related property information for desired real estate in a particular zone through the property shopping system, so that buyers are able to search for their desired information for the property, including the hit on interest, thereby enabling buyers to get hold of the popularity and hit of interest in their desired community, which serves as references for buyers in considering the property.

Description

technical field [0001] The present invention is related to a housing object service system, in particular to a housing object shopping guide system that can analyze the popularity of the community. Background technique [0002] Nowadays, with the development of the Internet, when a buyer wants to purchase a house object, the market information of the area where the house object is located is not only provided by the house rental and sales website of the house intermediary practitioners, but also the buyer can obtain relevant information from the Internet. [0003] However, there is no lack of search and shopping guide systems for the current housing property transactions. Buyers often encounter troubles because there is no effective housing property search and shopping guide system on the market that can provide buyers with information for quickly identifying a certain location. How many people are paying attention, and the popularity of the size of the area set by the locat...

AI Technical Summary

Problems solved by technology

[0003] However, there is no lack of search and shopping guide systems for the current housing property transactions. Buyers often encounter troubles because there is no effective housing property search and shopping guide system on the market that can provide buyers with information for quickly identifying a certain location. How many people are paying attention, and the popularity of the size of the area set by the location area. In addition, buyers cannot know how many buyers or competitors there are from the huge house object results that appear after the search. Therefore, It will cause buyers to miss the opportunity to purchase house objects, resulting in a loss in the price difference of purchase house objects

[0004] Furthermore, buyers need to individually browse the information of the house objects in detail, and then know how many people are paying attention to them from the webpage information of the individual objects in the search and shopping guide system of the existing house objects, which takes a lot of time and is completely inconsistent with Cost-effectiveness

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