Efficient real estate transaction matching system

Abstract

The invention discloses an efficient real estate transaction matching system, which comprises the following steps that: when a buyer and a seller sell and hang tags for real estates, relevant information is truly filled in a transaction algorithm basic data table; the algorithm system performs time comprehensive matching degree calculation on the data on the transaction algorithm basic table; thealgorithm system pushes matching demand house resource information to the buyer according to the sorting result, and prompts the demand matching degree; the buyer selects the real estate with the satisfaction degree reaching the standard, enters an on-site house viewing program and gives an intentional quotation and transaction time, otherwise, the reason is filled in the opinion feedback table asif it is, the algorithm system carries out re-matching calculation, and the above steps are repeated; under the condition that matching is completed, the algorithm system pushes the quoted price provided by the buyer to the seller as a sealed quoted price, performs secondary combination weight calculation on the transaction time and then gives a matching degree rank; and the seller obtains and reads the quotation information, selects intention buying and selling with high matching degree in the intention selling time, and carries out appointment conversation.

Description

technical field [0001] The invention relates to the technical field of real estate transaction algorithms, in particular to an efficient real estate transaction matching system. Background technique [0002] With the continuous development of China's economy, China's comprehensive national strength is constantly improving. Real estate transactions not only have huge economic investment value in my country, but also are essential consumer goods for the people to survive. [0003] However, the existing real estate transaction process is generally such that the buyer screens the information through the Internet or an intermediary company, then inspects the house, and interviews the owner after the inspection is satisfactory. However, the existing real estate transaction platforms, such as Shell and 58. When users use the multiple linear regression method to search for housing sources, buyers filter through regions, locations, apartment types, facilities, areas, prices, etc. to ...

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Problems solved by technology

[0003] However, the existing real estate transaction process is generally such that the buyer screens the information through the Internet or an intermediary company, then inspects the house, and interviews the owner after the inspection is satisfactory. However, the existing real estate transaction platforms, such as Shell and 58. When users use the multiple linear regression method to search for housing sources, buyers filter through regions, locations, apartment types, facilities, areas, prices, etc. to determine the intended housing sources. However, the above methods exist: a large amount of invalid information and high maintenance costs ;Low search query accuracy, large number of invalid house inspections; low negotiation turnover rate after inspection; inability to obtain complete information leads to misjudgment and failure to obtain optimal transaction results

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