Resource niche matching method and device

Abstract

The invention provides a resource niche matching method and device. The method comprises the steps that resource information of a target resource niche and lease information of each tenant sending a request for lease the target resource niche are acquired, the resource information comprises a lease time period, and the lease information comprises a lease deadline, a lease fee and a lease type; the plurality of tenants are combined according to the lease deadline of each tenant, a plurality of tenant combinations in the lease time period are obtained, and each tenant combination comprises one or more tenants; determining a combination score corresponding to the tenant combination according to the lease fee and the lease type of each tenant in each tenant combination; and renting the target resource niche to the tenant in the tenant combination with the highest combination score. By adopting the technical means, the problem of low rental benefit of the resource niche in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a resource bit matching method and device. Background Art

[0002] At present, when shopping malls lease resource locations, they often lease the currently vacant resource locations to the tenants with the highest current rent. After the tenants end their leases, they look for new tenants. This tenant method, although the current tenant has the highest rent, will lead to a long vacancy period for the resource location due to conflicts between the lease terms of different tenants. In the end, the rent of all tenants added up over a period of time may not be the highest. Moreover, if the resource locations in the mall are vacant for a long time, it will also affect the flow of people in the mall, and eventually worsen the operation of the mall. In addition, if only the rent is simply considered, it will not be conducive to the overall flow of people in the mall, because some types of leases may have lower rents, but they can attract traffic and are beneficial to the overall operation of the mall. Summary of the invention

[0003] In view of this, embodiments of the present application provide a resource position matching method, device, electronic device, and computer-readable storage medium to solve the problem of low resource position leasing efficiency in the prior art.

[0004] According to a first aspect of an embodiment of the present application, a resource position matching method is provided, comprising: obtaining resource information of a target resource position and leasing information of each tenant who issues a request to lease the target resource position, wherein the resource information includes a leasing time period, and the leasing information includes a leasing period, a leasing fee, and a leasing type; combining multiple tenants according to the leasing period of each tenant to obtain multiple tenant combinations within the leasing time period, wherein each tenant combination includes one or more tenants; determining a combination score corresponding to the tenant combination based on the leasing fee and the leasing type of each tenant in each tenant combination; and leasing the target resource position to the tenant in the tenant combination with the highest combination score.

[0005] According to a second aspect of an embodiment of the present application, a resource position matching device is provided, comprising: an acquisition module, configured to acquire resource information of a target resource position and leasing information of each tenant who issues a request to lease the target resource position, wherein the resource information includes a leasing time period, and the leasing information includes a leasing period, a leasing fee and a leasing type; a combination module, configured to combine a plurality of tenants according to the leasing period of each tenant, and obtain a plurality of tenant combinations within the leasing time period, wherein each tenant combination includes one or more tenants; a determination module, configured to determine a combination score corresponding to the tenant combination based on the leasing fee and the leasing type of each tenant in each tenant combination; and an allocation module, configured to lease the target resource position to the tenant in the tenant combination with the highest combination score.

[0006] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0007] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0008] Compared with the prior art, the embodiments of the present application have the following beneficial effects: obtaining resource information of the target resource location and leasing information of each tenant who issues a request to lease the target resource location, wherein the resource information includes a leasing period, and the leasing information includes a leasing period, a leasing fee, and a leasing type; combining multiple tenants according to the leasing period of each tenant to obtain multiple tenant combinations within the leasing period, wherein each tenant combination includes one or more tenants; determining the combination score corresponding to the tenant combination based on the leasing fee and leasing type of each tenant in each tenant combination; leasing the target resource location to the tenant in the tenant combination with the highest combination score. The above technical means can be used to solve the problem of low resource location leasing efficiency in the prior art, thereby improving the resource location leasing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0010] Figure 1 It is a flowchart of a resource bit matching method provided in an embodiment of the present application;

[0011] Figure 2 It is a flowchart of another resource bit matching method provided in an embodiment of the present application;

[0012] Figure 3 is a structural diagram of a resource bit matching device provided in an embodiment of the present application;

[0013] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0014] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0015] A resource bit matching method and device according to an embodiment of the present application will be described in detail below with reference to the accompanying drawings.

[0016] Figure 1 It is a flowchart of a resource bit matching method provided in an embodiment of the present application. Figure 1 The resource bit matching method can be executed by a computer or a server, or software on the computer or the server. Figure 1 As shown, the resource bit matching method includes:

[0017] S101, obtaining resource information of a target resource location and leasing information of each tenant who issues a request to lease the target resource location, wherein the resource information includes a leasing period, and the leasing information includes a leasing period, a leasing fee, and a leasing type;

[0018] S102, combining multiple tenants according to the lease term of each tenant to obtain multiple tenant combinations within the lease time period, wherein each tenant combination includes one or more tenants;

[0019] S103, determining a combination score corresponding to each tenant combination according to the rental fee and rental type of each tenant in each tenant combination;

[0020] S104: Lease the target resource location to the tenant in the tenant combination with the highest combination score.

[0021] The target resource location is a vacant space in the mall that can be rented out. The lease period is the period of time during which the target resource location can be rented out. The lease term is the period of time during which the tenant rents out the space. The lease fee is the rent given by the tenant. The lease type is the type of the target resource location used by the tenant. Lease types include art exhibitions, technology exhibitions, cultural exhibitions, concerts, car shows, children's parks, promotional activities, literary and artistic performances, product launches, daily necessities sales, clothing stores, restaurants, electronic equipment sales, cosmetics promotions, etc.

[0022] Combine multiple tenants according to the lease term of each tenant to obtain multiple tenant combinations within the lease time period, and the lease terms of each tenant in each tenant combination do not overlap. For example, if the lease time period is from January 10 to January 26, a tenant combination contains three tenants, and the lease terms of the three tenants are January 10 to January 16, January 18 to January 22, and January 23 to January 25. Score the tenant combination based on the lease fee and lease type of each tenant in each tenant combination, and match the target resource position to the tenant combination with the highest score.

[0023] In an optional embodiment, the resource information also includes an area and location description, and the leasing information of the tenants in the leasing pool is obtained, wherein the resource information includes an area and location description; multiple tenants are matched for the target resource location according to the area and location description in the resource information and the area and location description in the resource information; multiple tenants are matched according to the lease term combinations of each tenant to obtain multiple tenant combinations within the leasing time period.

[0024] According to the area and location description in the resource information and the area and location description in the resource information, multiple tenants are matched for the target resource, requiring that the difference between the area in the resource information and the area in the resource information is less than a preset size, and the cosine similarity of the text features of the location description in the resource information and the location description in the resource information is greater than a preset threshold.

[0025] According to the technical solution provided in the embodiment of the present application, the resource information of the target resource position and the leasing information of each tenant who issues a request to lease the target resource position are obtained, wherein the resource information includes the leasing time period, and the leasing information includes the leasing period, leasing fee and leasing type; multiple tenants are combined according to the leasing period of each tenant to obtain multiple tenant combinations within the leasing time period, wherein each tenant combination contains one or more tenants; the combination score corresponding to the tenant combination is determined based on the leasing fee and leasing type of each tenant in each tenant combination; the target resource position is leased to the tenant in the tenant combination with the highest combination score. The above technical means can solve the problem of low resource position leasing efficiency in the prior art, thereby improving the resource position leasing efficiency.

[0026] Furthermore, based on the rental costs and rental types of each tenant in each tenant combination, a combination score corresponding to the tenant combination is determined, including: calculating the total rent corresponding to the tenant combination based on the rental costs of each tenant in each tenant combination; determining the rental score corresponding to the tenant combination based on the total rent corresponding to each tenant combination; determining the type score corresponding to the tenant combination based on the rental type of each tenant in each tenant combination; and taking a weighted sum of the rental scores and type scores corresponding to each tenant combination to obtain a combination score corresponding to the tenant combination.

[0027] The rental fees of all tenants in each tenant combination are summed to obtain the total rent corresponding to the tenant combination. Based on the total rent corresponding to each tenant combination, the rent score corresponding to the tenant combination is determined. The larger the total rent, the higher the rent score.

[0028] Because different types of leases bring different traffic to the mall, some types of leases have low lease fees, but they can increase traffic to the mall, which is beneficial to the overall operation of the mall. Therefore, it is also necessary to determine the type score corresponding to the tenant combination based on the lease type of each tenant in each tenant combination. For example, art exhibitions, science and technology exhibitions, cultural exhibitions, concerts, literary performances, product launches and other types of leases have low lease fees, but can increase traffic to the mall. However, the lease fees of daily necessities sales, clothing stores, electronic equipment sales and other types of leases are high, but they cannot increase traffic to the mall.

[0029] Furthermore, based on the rental type of each tenant in each tenant combination, a type score corresponding to the tenant combination is determined, including: based on the rental type of each tenant, determining the type score corresponding to the tenant; based on the type score corresponding to each tenant in each tenant combination, calculating the type score corresponding to the tenant combination.

[0030] The type scores corresponding to different lease types can be set based on the amount of traffic added to the mall by different lease types in historical experience. Then, the type score corresponding to each tenant can be determined based on the lease type of each tenant. The type scores corresponding to all tenants in each tenant combination are summed to obtain the type score corresponding to the tenant combination.

[0031] Furthermore, based on the lease type of each tenant, the type score corresponding to the tenant is determined, including: determining a rating of the target resource location that can increase traffic for the area to which it belongs when the target resource location is leased as the lease type of each tenant; and determining a type score corresponding to the tenant based on the rating corresponding to each tenant.

[0032] You can set ratings for different rental types based on historical experience to determine how much traffic they can bring to the mall, and different ratings correspond to different types of scores.

[0033] Furthermore, after determining the type score corresponding to each tenant based on the lease type of each tenant, the method also includes: obtaining the lease type of existing tenants in the area where the target resource location belongs; if the lease type of each tenant is not within the lease type of existing tenants in the area where the target resource location belongs, increasing the type score corresponding to the tenant according to the set score; if the lease type of each tenant is within the lease type of existing tenants in the area where the target resource location belongs, reducing the type score corresponding to the tenant according to the set score.

[0034] The target resource location can be in the same area as the mall to which the target resource location belongs. Generally, if the newly added rental type of the mall is the same as the existing rental type of the mall, it will not increase the traffic of the mall. Often, the newly added rental type of the mall is different from the existing rental type of the mall, which will increase the traffic of the mall. Therefore, according to whether the rental type of each tenant is within the rental type of the existing tenants in the area to which the target resource location belongs, the type score corresponding to the tenant is adjusted.

[0035] Furthermore, the rental scores and type scores corresponding to each tenant combination are weighted and summed to obtain the combination score corresponding to the tenant combination, including: obtaining the daily average traffic in the preset time period of the area to which the target resource location belongs; determining the weighted ratio of the rental score and the type score according to the daily average traffic; and weightedly summing the rental scores and type scores corresponding to each tenant combination according to the weighted ratio to obtain the combination score corresponding to the tenant combination.

[0036] Because art exhibitions, science and technology exhibitions, cultural exhibitions, concerts, literary performances, product launches and other rental types have low rental fees but can increase traffic for the mall, while daily necessities sales, clothing stores, electronic equipment sales and other rental types have high rental fees but cannot increase traffic for the mall. Therefore, the weighted ratio of the rental score and the type score can be dynamically adjusted according to the daily average traffic. Specifically, when the daily average traffic is small, the proportion of the type score is increased, and when the daily average traffic is large, the proportion of the type score is reduced.

[0037] Furthermore, after determining the combination score corresponding to each tenant combination based on the rental fee and rental type of each tenant in each tenant combination, the method also includes: obtaining the rental types of multiple tenants of the target resource position adjacent to the resource position within the rental time period; determining the number of the same rental types of multiple tenants in each tenant combination and the rental types of multiple tenants of the target resource position adjacent to the resource position within the rental time period; and adjusting the combination score corresponding to each tenant combination according to the number.

[0038] In order to avoid homogeneous competition between the target resource position and its adjacent resource position within the mall, the same rental type should be avoided between the target resource position and its adjacent resource position. Therefore, the fewer the number of identical rental types between multiple tenants in the tenant combination and multiple tenants in the adjacent resource position, the higher the combination score corresponding to the tenant combination will be. Conversely, the lower the combination score corresponding to the tenant combination will be. When the number of identical rental types between multiple tenants in the tenant combination and multiple tenants in the adjacent resource position is zero, the combination score corresponding to the tenant combination is the highest.

[0039] Figure 2 FIG. 1 is a flow chart of another resource bit matching method provided in an embodiment of the present application. Figure 2 As shown, the method includes:

[0040] S201, obtaining resource information of a target resource location and leasing information of each tenant who issues a request to lease the target resource location, wherein the resource information includes a leasing period, and the leasing information includes a leasing period, a leasing fee, and a leasing type;

[0041] S202, combining multiple tenants according to the lease term of each tenant to obtain multiple tenant combinations within the lease time period, wherein each tenant combination includes one or more tenants;

[0042] S203, calculating the total rent corresponding to each tenant combination according to the rental fee of each tenant in the tenant combination;

[0043] S204, determining a rent score corresponding to each tenant combination based on the total rent corresponding to each tenant combination;

[0044] S205, determining a type score corresponding to each tenant combination according to the rental type of each tenant in each tenant combination;

[0045] S206, performing weighted summation of the rental score and the type score corresponding to each tenant combination to obtain a combination score corresponding to the tenant combination;

[0046] S207, leasing the target resource location to the tenant in the tenant combination with the highest combination score.

[0047] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0048] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0049] Figure 3 Schematic diagram of a resource bit matching device provided in an embodiment of the present application. Figure 3 As shown, the resource bit matching device includes:

[0050] The acquisition module 301 is configured to acquire resource information of the target resource location and lease information of each tenant who issues a request to lease the target resource location, wherein the resource information includes a lease time period, and the lease information includes a lease term, a lease fee, and a lease type;

[0051] The combination module 302 is configured to combine multiple tenants according to the lease period of each tenant to obtain multiple tenant combinations within the lease period, wherein each tenant combination includes one or more tenants;

[0052] The determination module 303 is configured to determine a combination score corresponding to each tenant combination according to the rental fee and rental type of each tenant in each tenant combination;

[0053] The allocation module 304 is configured to lease the target resource bit to the tenant in the tenant combination with the highest combination score.

[0054] In some embodiments, the acquisition module 301 is also configured so that the resource information also includes area and location descriptions, and the lease information of the tenants in the lease pool is obtained, wherein the resource information includes area and location descriptions; multiple tenants are matched for the target resource location according to the area and location descriptions in the resource information and the area and location descriptions in the resource information; multiple tenants are matched according to the lease term combinations of each tenant to obtain multiple tenant combinations within the lease time period.

[0055] According to the technical solution provided in the embodiment of the present application, the resource information of the target resource position and the leasing information of each tenant who issues a request to lease the target resource position are obtained, wherein the resource information includes the leasing time period, and the leasing information includes the leasing period, leasing fee and leasing type; multiple tenants are combined according to the leasing period of each tenant to obtain multiple tenant combinations within the leasing time period, wherein each tenant combination contains one or more tenants; the combination score corresponding to the tenant combination is determined based on the leasing fee and leasing type of each tenant in each tenant combination; the target resource position is leased to the tenant in the tenant combination with the highest combination score. The above technical means can solve the problem of low resource position leasing efficiency in the prior art, thereby improving the resource position leasing efficiency.

[0056] In some embodiments, the determination module 303 is further configured to calculate the total rent corresponding to each tenant combination based on the rental fee of each tenant in the tenant combination; determine the rent score corresponding to the tenant combination based on the total rent corresponding to each tenant combination; determine the type score corresponding to the tenant combination based on the rental type of each tenant in each tenant combination; and perform weighted summation of the rent score and type score corresponding to each tenant combination to obtain a combination score corresponding to the tenant combination.

[0057] The rental fees of all tenants in each tenant combination are summed to obtain the total rent corresponding to the tenant combination. Based on the total rent corresponding to each tenant combination, the rent score corresponding to the tenant combination is determined. The larger the total rent, the higher the rent score.

[0058] Because different types of leases bring different traffic to the mall, some types of leases have low lease fees, but they can increase traffic to the mall, which is beneficial to the overall operation of the mall. Therefore, it is also necessary to determine the type score corresponding to the tenant combination based on the lease type of each tenant in each tenant combination. For example, art exhibitions, science and technology exhibitions, cultural exhibitions, concerts, literary performances, product launches and other types of leases have low lease fees, but can increase traffic to the mall. However, the lease fees of daily necessities sales, clothing stores, electronic equipment sales and other types of leases are high, but they cannot increase traffic to the mall.

[0059] In some embodiments, the determination module 303 is further configured to determine the type score corresponding to each tenant according to the rental type of each tenant; and calculate the type score corresponding to the tenant combination according to the type score corresponding to each tenant in each tenant combination.

[0060] The type scores corresponding to different lease types can be set based on the amount of traffic added to the mall by different lease types in historical experience. Then, the type score corresponding to each tenant can be determined based on the lease type of each tenant. The type scores corresponding to all tenants in each tenant combination are summed to obtain the type score corresponding to the tenant combination.

[0061] In some embodiments, the determination module 303 is further configured to determine that when the target resource location is leased as a lease type of each tenant, the target resource location can increase the rating of traffic for the area to which it belongs; and determine the type score corresponding to the tenant based on the rating corresponding to each tenant.

[0062] You can set ratings for different rental types based on historical experience to determine how much traffic they can bring to the mall, and different ratings correspond to different types of scores.

[0063] In some embodiments, the determination module 303 is also configured to obtain the lease type of existing tenants in the area to which the target resource location belongs; if the lease type of each tenant is not within the lease type of existing tenants in the area to which the target resource location belongs, the type score corresponding to the tenant is increased according to the set score; if the lease type of each tenant is within the lease type of existing tenants in the area to which the target resource location belongs, the type score corresponding to the tenant is reduced according to the set score.

[0064] The target resource location can be in the same area as the mall to which the target resource location belongs. Generally, if the newly added rental type of the mall is the same as the existing rental type of the mall, it will not increase the traffic of the mall. Often, the newly added rental type of the mall is different from the existing rental type of the mall, which will increase the traffic of the mall. Therefore, according to whether the rental type of each tenant is within the rental type of the existing tenants in the area to which the target resource location belongs, the type score corresponding to the tenant is adjusted.

[0065] In some embodiments, the determination module 303 is further configured to obtain the daily average traffic within a preset time period in the area to which the target resource location belongs; determine the weighted ratio of the rental score and the type score based on the daily average traffic; and weightedly sum the rental scores and type scores corresponding to each tenant combination according to the weighted ratio to obtain a combination score corresponding to the tenant combination.

[0066] Because art exhibitions, science and technology exhibitions, cultural exhibitions, concerts, literary performances, product launches and other rental types have low rental fees but can increase traffic for the mall, while daily necessities sales, clothing stores, electronic equipment sales and other rental types have high rental fees but cannot increase traffic for the mall. Therefore, the weighted ratio of the rental score and the type score can be dynamically adjusted according to the daily average traffic. Specifically, when the daily average traffic is small, the proportion of the type score is increased, and when the daily average traffic is large, the proportion of the type score is reduced.

[0067] In some embodiments, the determination module 303 is further configured to obtain the lease types of multiple tenants of the target resource bit adjacent resource bit within the lease time period; determine the number of the same lease types between the multiple tenants in each tenant combination and the lease types of the multiple tenants of the target resource bit adjacent resource bit within the lease time period; and adjust the combination score corresponding to each tenant combination according to the number.

[0068] In order to avoid homogeneous competition between the target resource position and its adjacent resource position within the mall, the same rental type should be avoided between the target resource position and its adjacent resource position. Therefore, the fewer the number of identical rental types between multiple tenants in the tenant combination and multiple tenants in the adjacent resource position, the higher the combination score corresponding to the tenant combination will be. Conversely, the lower the combination score corresponding to the tenant combination will be. When the number of identical rental types between multiple tenants in the tenant combination and multiple tenants in the adjacent resource position is zero, the combination score corresponding to the tenant combination is the highest.

[0069] In some embodiments, the determination module 303 is further configured to obtain resource information of the target resource location and leasing information of each tenant who issues a request to lease the target resource location, wherein the resource information includes a leasing time period, and the leasing information includes a leasing period, a leasing fee, and a leasing type; combine multiple tenants according to the leasing period of each tenant to obtain multiple tenant combinations within the leasing time period, wherein each tenant combination contains one or more tenants; calculate the total rent corresponding to the tenant combination based on the leasing fee of each tenant in each tenant combination; determine the rent score corresponding to the tenant combination based on the total rent corresponding to each tenant combination; determine the type score corresponding to the tenant combination based on the leasing type of each tenant in each tenant combination; weighted sum the rent score and type score corresponding to each tenant combination to obtain a combination score corresponding to the tenant combination; and lease the target resource location to the tenant in the tenant combination with the highest combination score.

[0070] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0071] Figure 4 Schematic diagram of an electronic device 4 provided in an embodiment of the present application. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401. When the processor 401 executes the computer program 403, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 401 executes the computer program 403, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0072] The electronic device 4 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 The electronic device 4 is merely an example and does not limit the electronic device 4 , and may include more or less components than those shown in the figure, or different components.

[0073] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0074] The memory 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. The memory 402 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.

[0075] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0076] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0077] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A resource bit matching method, characterized in that: include: Acquire resource information of the target resource location and lease information of each tenant who issues a request to lease the target resource location, wherein the resource information includes a lease time period, and the lease information includes a lease term, a lease fee, and a lease type; Combining multiple tenants according to the lease term of each tenant to obtain multiple tenant combinations within the lease time period, wherein each tenant combination includes one or more tenants; Determine the combination score corresponding to each tenant combination based on the rental cost and rental type of each tenant in each tenant combination; The target resource location is leased to the tenant in the tenant combination with the highest combination score.

2. The method according to claim 1, characterized in that According to the rental cost and rental type of each tenant in each tenant combination, the combination score corresponding to the tenant combination is determined, including: Calculate the total rent corresponding to each tenant combination based on the rental fee of each tenant in the tenant combination; Based on the sum of rents corresponding to each tenant combination, determine the rent score corresponding to the tenant combination; According to the rental type of each tenant in each tenant combination, determine the type score corresponding to the tenant combination; The rental score and type score corresponding to each tenant combination are weighted and summed to obtain the combined score corresponding to the tenant combination.

3. The method according to claim 2, characterized in that According to the rental type of each tenant in each tenant combination, the type score corresponding to the tenant combination is determined, including: According to the rental type of each tenant, determine the type score corresponding to the tenant; Based on the type score corresponding to each tenant in each tenant combination, the type score corresponding to the tenant combination is calculated.

4. The method according to claim 3, characterized in that According to the rental type of each tenant, the corresponding type score of the tenant is determined, including: When determining that the target resource location is leased as a lease type of each tenant, the target resource location can increase the rating of the traffic in the area to which it belongs; According to the rating corresponding to each tenant, the type score corresponding to the tenant is determined.

5. The method according to claim 3, characterized in that: After determining the type score corresponding to each tenant according to the rental type of each tenant, the method further includes: Obtaining the lease type of existing tenants in the area to which the target resource belongs; If the lease type of each tenant is not within the lease type of the existing tenants in the area to which the target resource location belongs, the type score corresponding to the tenant is increased according to the set score; If the lease type of each tenant is within the lease type of an existing tenant in the area to which the target resource location belongs, the type score corresponding to the tenant is reduced according to the set score.

6. The method according to claim 2, characterized in that The rental score and type score corresponding to each tenant combination are weighted and summed to obtain the combined score corresponding to the tenant combination, including: Obtain the daily average flow rate within a preset time period of the area to which the target resource location belongs; Determining a weighted ratio of the rental score and the type score based on the average daily traffic; The rental score and type score corresponding to each tenant combination are weighted and summed according to the weighted ratio to obtain a combination score corresponding to the tenant combination.

7. The method according to claim 1, characterized in that After determining the combination score corresponding to each tenant combination according to the rental fee and rental type of each tenant in each tenant combination, the method further includes: Obtaining the lease types of multiple tenants of the target resource position and the adjacent resource position within the lease time period; Determine the number of identical lease types of multiple tenants in each tenant combination and the target resource position adjacent to the target resource position between the lease types of multiple tenants in the lease time period; The combination score corresponding to each tenant combination is adjusted according to the quantity.

8. A resource bit matching device, characterized in that: include: An acquisition module is configured to acquire resource information of a target resource location and lease information of each tenant who issues a request to lease the target resource location, wherein the resource information includes a lease time period, and the lease information includes a lease term, a lease fee, and a lease type; A combination module is configured to combine multiple tenants according to the lease period of each tenant to obtain multiple tenant combinations within the lease period, wherein each tenant combination includes one or more tenants; A determination module is configured to determine a combination score corresponding to each tenant combination according to the rental fee and rental type of each tenant in each tenant combination; The allocation module is configured to lease the target resource bit to a tenant in the tenant combination with the highest combination score.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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