House property transaction method, device and equipment based on big data and storage medium

[0047] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0048] figure 1 The flowchart of the big data-based real estate transaction method provided in an embodiment of this application, as shown in the figure, includes:

[0049] S1. Obtain housing information and review the housing information;

[0050] In this step, the basic information of the housing information entered by the landlord is obtained, and then the basic information is transmitted to the government system platform to verify the authenticity of the basic information, and the basic information is verified according to the government system platform. As a result, the verification result is reviewed. When the verification result is abnormal, the listing information is not allowed to be published, and error information is returned to the landlord; when the verification result is true, the publishing is allowed Housing information, and at the same time, through big data collection to complete and supplement the housing information, including acquiring the basic environment around the housing information, acquiring criminal incident information corresponding to the housing information, and acquiring the housing information. Current household information and historical household information of the source information.

[0051] S2. Calculate the published score of the housing information, compare the score with a preset threshold, and mark the housing information corresponding to the score higher than the threshold;

[0052] In this step, by acquiring the number of positive reviews and the number of negative reviews contained in each item of information in the housing information, the scores of each item of information are calculated according to the number of positive reviews and the negative reviews, and After summing the scores of the various pieces of information, the score of the listing information is obtained, and the score is compared with a preset threshold. When the score is higher than the threshold, the corresponding room is marked. Source information, when the score is lower than the threshold, the corresponding housing information is not marked; the various information includes house type information, geographic location, traffic information, mortgage information, building information, completion date information, The positive evaluation includes the evaluations of each tenant, each housing platform, and each housing agency expressing satisfaction with the various information. The negative evaluation includes each tenant, each housing platform, and each housing agency expressing disapproval of the various information. Satisfactory evaluation, for example, if tenant A is subjectively dissatisfied with the geographical location of housing information B, tenant A’s evaluation of the geographical location information of housing information B is a negative evaluation. If the comprehensive layout and lighting of housing platform C are comprehensive When judging the house type information of housing information B is a satisfactory evaluation, the evaluation of the house type information of housing information B by the housing platform C is a positive evaluation, if the real estate agent D subjectively believes that the house information B that is 3 kilometers away from the subway station is in If the traffic information is unsatisfactory, the real estate agent D's evaluation of the housing information B on the traffic information is negative.

[0053] S3. Obtain tenant information, review the tenant information, and obtain the renting demand of the tenant information that has passed the review;

[0054] In this step, the basic information of the tenant is acquired, the basic information is transmitted to the government system platform for authenticity verification, the verification result fed back by the government system platform is obtained, and the tenant's registration information is reviewed according to the verification result. When the result is abnormal, successful registration is not allowed, and an error message is returned to the user; when the verification result is true, the tenant is allowed to successfully register, and at the same time, the basic information of the tenant is improved through big data collection, including Obtain the tenant's historical lease information, obtain the tenant's criminal record information, and obtain the tenant's credit record information.

[0055] S4. According to the rental demand, recommend the marked housing information to the tenant corresponding to the rental demand;

[0056] In this step, the rental requirements of the successfully registered tenants are obtained, and the housing information that meets the rental requirements is searched from the published housing information according to the keywords in the rental requirements, and then selected from the search results. The marked housing information is recommended to tenants after ranking the marked housing information in the order of the score. For example, tenant E’s rental demand F is "one bedroom and one living room close to Tsinghua University", According to the keyword "Tsinghua University", "One room and one living room" of the rental demand F, we found that there are housing G, housing H, housing J, housing K, and housing L that meet the requirements, and their scores correspond to 51, 60, 53, 69, 75, according to the order of the score, arrange the qualified houses as house L, house K, house H, house J, and house G, and recommend the listed houses to tenants .

[0057] In this embodiment, the authenticity verification of both housing information and tenant information is established by building, and the housing information and tenant information are improved through big data, which improves the security of tenant rental and improves the efficiency of screening effective housing.

[0058] figure 2 The flow chart for obtaining housing information provided in an embodiment of this application, as shown in the figure, said S1, acquiring housing information, and reviewing the housing information, including:

[0059] S101. Obtain the housing information entered by the landlord;

[0060] The basic information of the housing information entered by the landlord acquired in this step includes house size, floor, lighting and ventilation, community type, staircase number, street, house number, etc.

[0061] S102. Verify the authenticity of the housing information through the government system platform;

[0062] In this step, through the connection established with the government system platform, the basic information of the housing information entered by the landlord is transmitted to the government system platform to verify the authenticity of each information contained in the housing information.

[0063] S103. Obtain the verification result of the housing information fed back by the government system platform, and review the verification result, and when the verification result is true, publish the housing information; when the verification result is abnormal , Do not publish the said housing information, and return error information to the landlord;

[0064] In this step, according to the verification result of the authenticity of the housing information fed back by the government system, the housing information is verified, for example, housing information A is sent to the government system platform, and the verification result is the authenticity of housing information A 100%, the housing information A is publicly released. If it is found that the entered floor of the housing information A does not match the floor information recorded in the government system platform, the housing information A is not allowed to be publicly released, and its floor information Error returned to the landlord.

[0065] In this embodiment, the authenticity of all housing information is verified after being connected to the government system platform, which improves the credibility of housing information and improves the security of renting by tenants.

[0066] image 3 This application provides a flow chart for calculating the rating of housing information in an embodiment. As shown in the figure, the S2, calculating the rating of the housing information after publishing, and comparing the rating with a preset threshold , And mark the listing information corresponding to the score higher than the threshold, including:

[0067] S201. Obtain the number of positive reviews and the number of negative reviews contained in each piece of information in the housing information;

[0068] In this step, the number of positive reviews and the number of negative reviews contained in the various pieces of information in the housing information are acquired. The various pieces of information include house type information, geographic location, traffic information, mortgage information, building information, and completion date. Information, etc., the positive evaluation includes each tenant, each housing platform, and each housing intermediary’s evaluation of satisfaction with the various information, and the negative evaluation includes each tenant, each housing platform, and each housing intermediary’s evaluation of the various information. Items of information represent unsatisfactory evaluations. For example, if tenant A is subjectively dissatisfied with the geographic location of housing information B, tenant A’s evaluation of the geographic location information of housing information B is negative. If the comprehensive layout of housing platform C, When lighting and other aspects comprehensively judge the house type information of housing information B as a satisfactory evaluation, the evaluation of the house type information of housing information B by the housing platform C is a positive evaluation, if the real estate agent D subjectively believes that the house is 3 kilometers away from the subway station The source information B is unsatisfactory in terms of traffic information, and the real estate agent D's evaluation of the housing information B on the traffic information is negative.

[0069] S202: Calculate the scores of the various pieces of information according to the number of positive reviews and the number of negative reviews;

[0070] In this step, the scores of each item of information are calculated according to the number of positive reviews and the number of negative reviews obtained in combination with formula (1). The calculation formula (1) is as follows:

[0071]

[0072] In formula (1), S represents the score of each item of information, m represents the number of negative reviews, n represents the number of positive reviews, A and B are constants, A takes a value of 6.78, and B takes a value of 14.43.

[0073] S203: Sum the scores of the various pieces of information to obtain the score of the housing information;

[0074] In this step, the scores of the various pieces of information are obtained, and all the scores are summed to obtain the score of the housing information. The calculation formula is as shown in formula (2):

[0075] S t =S 1 +S 2 +...+S n (2),

[0076] In formula (2), S t Indicates the rating of the listing information, S 1 , S 2 , S n Represents the score of each item of information, and n represents a non-zero positive integer.

[0077] S204. Compare the score of the listing information with the threshold, and when the score is higher than the threshold, mark the corresponding listing information, and when the score is lower than the threshold, Do not mark the corresponding housing information;

[0078] In this step, after comparing the score of the house information with a preset threshold, mark the house information with the score higher than the threshold, for example, the threshold is 50, and the score of house information A is 48 , Then the property information A is not marked, and the score of the property information B is 68, then the property information B is marked.

[0079] In this embodiment, by calculating the score of the housing information, and marking the housing information with a higher score, it provides a basis for subsequently recommending the housing information to tenants.

[0080] In an embodiment, the calculation of the scores of the various items of information according to the number of positive reviews and the number of negative reviews includes:

[0081] Obtain the number of positive reviews and the number of negative reviews contained in each item of information in the house information, and calculate the score of each item of information. The calculation formula is as shown in formula (1),

[0082]

[0083] In formula (1), S represents the score of each item of information, m represents the number of negative reviews, n represents the number of positive reviews, A and B are constants, A takes a value of 6.78, and B takes a value of 14.43;

[0084] In this step, the number of positive reviews and the number of negative reviews contained in the various pieces of information obtained are substituted into formula (1), and the scores of the various pieces of information are calculated, such as listings. In the evaluation of information A on traffic information, there are a total of 80 positive reviews and 30 negative reviews. Then the score of the available housing information A on traffic information is 12.93;

[0085] In this embodiment, the scores of the various pieces of information are calculated to provide a basis for the subsequent calculation of the scores of the housing information.

[0086] In an embodiment, the summing the scores of the various pieces of information to obtain the score of the housing information includes:

[0087] Obtain the calculation result of the score of the various information, and calculate the sum of the scores to obtain the score of the house information, and the calculation formula is as shown in formula (2),

[0088] S t =S 1 +S 2 +...+S n (2),

[0089] In formula (2), S t Indicates the rating of the listing information, S 1 , S 2 , S n Represents the score of the various information, n represents a non-zero positive integer;

[0090] In this step, the calculated scores of the various pieces of information are substituted into formula (2) to calculate the scores of the housing information, for example, the scores of the house information, geographic location, and traffic information of housing information A are respectively 15.3, 18.6, 13.4, the score of housing information A is calculated to be 47.3.

[0091] In this embodiment, the calculation of the score of the listing information provides a basis for subsequently determining whether the listing information is worth recommending.

[0092] In an embodiment, the obtaining tenant information to audit the tenant information, and obtaining the renting demand of the tenant information that has passed the audit includes:

[0093] Obtain the basic information of the tenant, and verify the basic information of the tenant through the government system platform;

[0094] In this step, the basic information entered by the tenant is obtained, the basic information of the tenant is verified through the connection with the government system platform, and the verification result is obtained from the government system platform. For example, the basic information entered by the tenant A includes the name, ID card and educational background, the basic information entered by tenant A is transmitted to the government system platform for verification, and it is verified whether the name of tenant A is consistent with the ID number and educational background.

[0095] Obtain the verification result of the tenant’s basic information fed back by the government system platform, and review the tenant’s registration information according to the verification result. When the verification result is true, the tenant is allowed to successfully register, and when the verification result is abnormal, Successful registration is not allowed, and an error message is returned to the tenant;

[0096] In this step, the verification result of the tenant’s basic information fed back by the government system platform is obtained, and the tenant is allowed to register according to the verification result. For example, the verification result A of the tenant A shows that all the information in the basic information of the tenant A is consistent. It means that the basic information of tenant A is true and tenant A is allowed to successfully register. If the verification result B of tenant B shows that the educational background of tenant B’s basic information does not match the name and ID number of tenant B, then tenant B’s basic information The information is not true, tenant B is not allowed to successfully register, and an error message is returned to tenant B.

[0097] Obtain the rental demand of the successfully registered tenant, and search for relevant housing information according to the rental demand;

[0098] In this step, the successfully registered tenant is allowed to publish the rental demand, obtain the keywords of the rental demand published by the tenant, and search for the housing information that meets the requirements based on the keywords. For example, the rental demand F of tenant E is " One bedroom and one living room close to Tsinghua University. According to the keywords of renting demand F, “Tsinghua University” and “one bedroom and one living room” can be searched for housing G, housing H, housing J, housing K, Listing L.

[0099] In this embodiment, by verifying the authenticity of the basic information of the tenant, the security of the real estate transaction process is improved, and the standardization of the real estate transaction market is enhanced.

[0100] In an embodiment, the recommending the marked listing information to the tenant corresponding to the renting demand according to the renting demand includes:

[0101] Acquire the rental demand in the tenant information; search for the housing information that meets the rental demand from the published housing information according to the keywords in the rental demand, and then filter out the housing information from the search results. The marked listing information;

[0102] In this step, the keywords in the renting demand are acquired, and the published housing information is searched for housing information that meets the tenant’s requirements based on the keywords, and then the marked ones are selected from the search results. Housing information, for example, tenant E’s rental demand F is “one bedroom and one living room close to Tsinghua University”. According to the keywords of renting demand F “Tsinghua University” and “one bedroom and one living room”, you can search for housing G that meets the requirements , House H, House J, House K, House L, among which the marked house information includes House H, House K and House L, then put House H, House K and House L Screened out and recommended to tenants.

[0103] Arrange the marked housing information according to the order of the score, and recommend the arranged housing information to tenants;

[0104] In this step, the marked housing information is arranged in the order of the score, and the arranged housing information is recommended to tenants. For example, tenant E’s rental demand F is "a room near Tsinghua University One room”, and finally screened out the qualified and marked housing information including housing H, housing K and housing L, and the scores of housing H, housing K and housing L were 60 and 69 respectively , 75, arranged in the order of high and low of the scores as house L, house K, and house H, and recommend the arranged house information to tenants.

[0105] In this embodiment, the high-quality housing information is recommended based on the score, which reduces the time for tenants to screen housing information and improves the efficiency of real estate transactions.

[0106] Based on the same concept, this application also provides a real estate transaction device based on big data, such as Figure 4 As shown, the big data-based real estate transaction device includes a housing information acquisition module, a calculation module, a tenant information acquisition module, and a recommendation module. The housing information acquisition module is set to acquire housing information and review the housing information. Source information; an arithmetic module, configured to calculate a rating of the listing information after publishing, compare the rating with a preset threshold, and mark the listing information corresponding to the rating higher than the threshold; The obtaining tenant information module is set to obtain tenant information to review the tenant information, and obtain the renting demand of the tenant information that has passed the review; the recommendation module is set to recommend to the tenant corresponding to the renting demand according to the renting demand The marked listing information.

[0107] In an embodiment, the module for obtaining housing information includes:

[0108] The housing information acquisition unit is set to acquire the housing information entered by the landlord;

[0109] The housing information verification unit is set to verify the authenticity of the housing information through the government system platform;

[0110] The housing information review unit is configured to obtain the verification result of the housing information fed back by the government system platform, and to review the verification result, and when the verification result is true, the housing information is released; When the verification result is abnormal, the housing information is not released, and error information is returned to the landlord.

[0111] In an embodiment, the computing module includes:

[0112] The information quantity obtaining unit is set to obtain the number of positive reviews and the number of negative reviews contained in each piece of information in the housing information;

[0113] A first-level arithmetic unit, configured to calculate the score of each item of information according to the number of positive reviews and the number of negative reviews;

[0114] A secondary computing unit, configured to sum the scores of the various pieces of information to obtain the score of the housing information;

[0115] The marking unit is configured to compare the score of the listing information with the threshold, and when the score is higher than the threshold, mark the corresponding listing information, and when the score is lower than the threshold When the threshold is set, the corresponding listing information is not marked.

[0116] In an embodiment, the first-level arithmetic unit includes:

[0117] Calculating scoring units at all levels, configured to obtain the number of positive reviews and the number of negative reviews contained in each item of information in the housing information, calculate the score of each item of information, and calculate the formula As shown in formula (1),

[0118]

[0119] In formula (1), S represents the score of the various pieces of information, m represents the number of negative reviews, n represents the number of positive reviews, and A and B are constants.

[0120] In an embodiment, the two-level arithmetic unit includes:

[0121] The total score calculation unit is configured to obtain the calculation result of the score of the various information, and calculate the score of the house information by summing the scores. The calculation formula is as shown in formula (2),

[0122] S t =S 1 +S 2 +...+S n (2),

[0123] In formula (2), S t Indicates the rating of the listing information, S 1 , S 2 , S n Represents the score of each item of information, and n represents a non-zero positive integer.

[0124] In an embodiment, the acquiring tenant information module includes:

[0125] The acquiring tenant information unit is configured to acquire basic information of the tenant, and verify the basic information of the tenant through the government system platform;

[0126] The tenant information verification unit is configured to obtain the verification result of the basic information of the tenant fed back by the government system platform, and review the registration information of the tenant according to the verification result. When the verification result is true, the tenant is allowed to successfully register. If the verification result is abnormal, the successful registration is not allowed, and an error message will be returned to the tenant;

[0127] The registered tenant information unit is configured to obtain the rental demand of the successfully registered tenant, and search for relevant housing information according to the rental demand.

[0128] In an embodiment, the recommendation module includes:

[0129] An acquiring demand unit, configured to acquire the rental demand in the tenant information;

[0130] The search unit is configured to search for housing information that meets the housing demand from the published housing information according to the keywords in the housing demand, and then filter the marked housing information from the search results ;

[0131] The recommendation unit is configured to arrange the marked house information in the order of the score, and recommend the arranged house information to tenants.

[0132] Based on the same technical concept, the embodiments of the present application also provide a computer device. The computer device includes a memory and a processor. The memory stores computer-readable instructions. When the computer-readable instructions are executed by one or more processors, The steps of the big data-based real estate transaction method in the foregoing embodiments are realized when one or more of the processors execute computer-readable instructions.

[0133] Based on the same technical concept, the embodiments of the present application also provide a storage medium, the storage medium can be read and written by a processor, the storage medium stores computer-readable instructions, and the computer-readable instructions are executed by one or more When the processor is executed, one or more of the processors execute the computer-readable instructions to implement the steps of the big data-based real estate transaction method in the foregoing embodiments. Wherein, the storage medium may be a non-volatile storage medium.

[0134] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by a program instructing relevant hardware. The program can be stored in a computer-readable storage medium, and the storage medium can include: Read only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.

[0135] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the various technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, All should be considered as the scope of this specification.

[0136] The above-mentioned embodiments only express some exemplary embodiments of the present invention, and the description is relatively specific and detailed, but it should not be understood as a limitation to the patent scope of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.