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Real estate intermediary service system and client and agent matching method

A technology for brokers and real estate, applied in the field of real estate intermediary service systems, can solve problems such as confusion and confusion without considering whether real estate brokers have housing information that meets the needs of buyers, achieve easy transaction mode, save time, and reduce interruptions Effect

Inactive Publication Date: 2017-01-18
李壮志
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] There are also some methods for quickly matching house buyers and real estate agents in the prior art, but when matching, it does not consider whether the real estate agent has housing information that meets the requirements of the house buyer. Sometimes, some real estate agents do not The house source or customer source that the customer needs, but in order to close the deal, the customer is constantly provided with biased information, conducts invalid inspections, invalid negotiations, and tries to change the customer's demand, which also causes some confusion in the market

Method used

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  • Real estate intermediary service system and client and agent matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] Embodiment 1. For each piece of demand information (rent or purchase) released by a customer in the second database, match the housing information (sale or lease) released by a broker in the first database with it. For example, if the demand information released by a customer is "buying" demand information, correspondingly retrieve the "sale" housing information released by all brokers in the first database, compare key factors in turn, and retrieve For a "sale" listing information that best meets the matching conditions, the information of the real estate agent who released the listing information will be pushed to the client's client; Correspondingly, retrieve the "rental" housing information released by all brokers in the first database, compare the key factors in turn, and retrieve a piece of "rental" housing information that best meets the matching conditions, and release the housing information of this housing The real estate agent information of the source inform...

Embodiment 2

[0059] Embodiment 2. For each piece of housing information (for sale or lease) issued by a client in the second database, match the demand information (for rent or for purchase) issued by a broker in the first database with it. For example, if the housing information released by a customer is “for sale” housing information, correspondingly retrieve the “buying” demand information released by all brokers in the first database, compare the key factors in turn, and retrieve A piece of "buying" demand information that best meets the matching conditions will be pushed to the client's client; if the housing information released by a customer is "rental" housing information, then Correspondingly, retrieve the "rent-seeking" demand information released by all brokers in the first database, compare the key factors in turn, retrieve a "rent-seeking" demand information that best meets the matching conditions, and release the demand The real estate agent information of the information is ...

Embodiment 3

[0062] Embodiment 3. For each piece of demand information (rent or purchase) issued by a certain broker in the first database, match it with the housing information (sale or lease) issued by the customer in the second database. For example, if the demand information released by the broker is "buying" demand information, correspondingly retrieve the "sale" housing information released by all customers in the second database, compare key factors in turn, and retrieve the most For a piece of "sale" housing information that meets the matching conditions, the customer information that released the housing information will be pushed to the broker's client; if the demand information released by the broker is "rental" demand information, the corresponding In the second database, all the "rental" housing information released by customers is retrieved, the key factors are compared in turn, and the "rental" housing information that best meets the matching conditions is retrieved, and the ...

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Abstract

The invention discloses a client and agent matching method. Agents and clients send house resource or demand information to a server via client terminals respectively, and the server classifies the house resource or demand information sent by the agents and clients and then stores the classified information into two independent databases; and the server matches the information in the two databases according to the types, and information of a real estate agent which satisfies a matching condition most is pushed to the client terminal of the client for each demand or house resource information sent by the client, or information of a client which satisfies a matching condition most is pushed to the client terminal of the real estate agent for each demand or house resource information sent by the agent. The invention discloses a client and agent matching system. Compared with the prior art, the client privacy can be protected, information resources of the real estate intermediary agents can be protected, and bidirectional matching enables higher matching efficiency.

Description

technical field [0001] The invention relates to a real estate intermediary service system and a method for pairing a client with a real estate broker, and belongs to the technical field of Internet information mining. Background technique [0002] At present, there are roughly two traditional online real estate intermediary methods: [0003] The first is that the real estate intermediary company obtains first-hand rental and sales information from the homeowner, and then publishes various listing information on the real estate website. ), price (unit price or total price), area, floor, geographical location, house orientation, house age, house type (villa, general residence, commercial house, apartment, etc.), as well as the property charges of the community where the house is located, and surrounding facilities , real estate agents and their contact information, etc.; once the listing information is registered, it will be automatically saved in the listing information data...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/16
CPCG06Q10/06311G06Q50/16
Inventor 李壮志
Owner 李壮志
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