CN111324829A - Transportation capacity resource recommendation method and device, server and storage medium - Google Patents

Transportation capacity resource recommendation method and device, server and storage medium Download PDF

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Publication number
CN111324829A
CN111324829A CN202010153106.0A CN202010153106A CN111324829A CN 111324829 A CN111324829 A CN 111324829A CN 202010153106 A CN202010153106 A CN 202010153106A CN 111324829 A CN111324829 A CN 111324829A
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capacity
target
site
resource
sites
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CN202010153106.0A
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CN111324829B (en
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黄龙平
付正龙
施正阳
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Rajax Network Technology Co Ltd
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Rajax Network Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The embodiment of the invention provides a method, a device, a server and a storage medium for recommending capacity resources, wherein the method comprises the following steps: acquiring target information of a capacity resource to be recommended, wherein the target information at least comprises a target geographical coordinate of the capacity resource for a capacity site; determining a target geographical range for matching the capacity resources with capacity sites according to the target geographical coordinates; determining candidate transportation capacity sites bound by the target geographic range; determining a target capacity site matched with the capacity resource from the candidate capacity sites according to the capacity demand data of the candidate capacity sites; and generating recommendation information, wherein the recommendation information is used for recommending the capacity resources to the target capacity site. According to the embodiment of the invention, the matching accuracy of the capacity resources and the capacity sites can be improved, and the recommendation effect is improved.

Description

Transportation capacity resource recommendation method and device, server and storage medium
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a capacity resource recommendation method, a capacity resource recommendation device, a server and a storage medium.
Background
The transport capacity resource is a transport capacity unit for executing the transport capacity task, and the transport capacity resource completes the transport capacity task by transporting a task object from a task starting position to a task destination position; the capacity resources are generally managed by capacity sites, one or more capacity sites are often set in one geographic area, and one capacity site manages a plurality of capacity resources; a capacity task for a geographic area is typically performed by capacity resources managed by capacity sites for the geographic area.
In order to meet the increasing demand of the capacity, the capacity site often needs to obtain new capacity resources, so how to recommend the capacity resources to the capacity site through a technical scheme to provide a way for the capacity site to obtain the new capacity resources becomes a hotspot concerned by technical personnel in the field; at present, in the process of recommending the capacity resources to the capacity site, the capacity resources are required to be matched with the capacity site, so how to improve the matching accuracy of the capacity resources and the capacity site, thereby improving the recommendation effect, and the problem that needs to be solved urgently by technical staff in the field is solved.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, a server, and a storage medium for recommending capacity resources, so as to improve matching accuracy of capacity resources and capacity sites and improve a recommendation effect.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
in a first aspect, an embodiment of the present invention provides a method for recommending capacity resources, including:
acquiring target information of a capacity resource to be recommended, wherein the target information at least comprises a target geographical coordinate of the capacity resource for a capacity site;
determining a target geographical range for matching the capacity resources with capacity sites according to the target geographical coordinates;
determining candidate transportation capacity sites bound by the target geographic range;
determining a target capacity site matched with the capacity resource from the candidate capacity sites according to the capacity demand data of the candidate capacity sites;
and generating recommendation information, wherein the recommendation information is used for recommending the capacity resources to the target capacity site.
With reference to the first aspect, in a first implementation manner of the first aspect, the target information further includes a target distance; the determining the target geographic range for the capacity resource to match the capacity site according to the target geographic coordinates comprises:
determining a first map grid to which the target geographic coordinate belongs;
if the first map grid is bound with a transportation site, determining that the first map grid is the target geographic range;
and if the first map grid is not bound with the transportation site, determining an initial geographical range taking the target geographical coordinate as the center and the target distance as the radius, and taking a second map grid corresponding to the initial geographical range as the target geographical range.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the determining the candidate transportation capacity site of the target geographical range binding includes:
if the first map grid is determined to be the target geographic range, determining candidate transportation capacity sites bound by the first map grid;
and if the second map grid corresponding to the geographic range is taken as the target geographic range, determining the candidate transportation capacity site bound by the second map grid.
With reference to the first or second implementation manner of the first aspect, in a third implementation manner of the first aspect, an embodiment of the present invention includes that the second map grid corresponding to the initial geographic range includes: a map grid within the initial geographic range, and a map grid intersecting the initial geographic range.
With reference to the first aspect, in a fourth implementation manner of the first aspect, the determining, according to the capacity demand data of the candidate capacity sites, a target capacity site matched with the capacity resource from the candidate capacity sites includes:
determining the transport capacity demand values of candidate transport capacity sites from the pre-recorded transport capacity demand values of the transport capacity sites, wherein the transport capacity demand values of the transport capacity sites and the transport capacity demands of the transport capacity sites are in a positive correlation;
and determining the transport capacity sites with the maximum transport capacity requirement value as target transport capacity sites.
With reference to the fourth implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the method further includes:
and updating the pre-recorded capacity demand value of each capacity site at regular time.
With reference to the fifth implementation manner of the first aspect, in a sixth implementation manner of the first aspect, the periodically updating the pre-recorded capacity demand values of the capacity sites includes:
forecasting the transport capacity resource target quantity of the transport capacity site at regular time according to historical task data of the transport capacity site in a set historical time period;
determining a capacity demand value of the capacity site according to the predicted capacity resource target quantity of the capacity site and the current capacity resource quantity of the capacity site;
and updating the recorded capacity demand value of the capacity site according to the determined capacity demand value of the capacity site.
In a second aspect, an embodiment of the present invention further provides a capacity resource recommendation device, including:
the system comprises a target information acquisition module, a recommendation module and a recommendation module, wherein the target information acquisition module is used for acquiring target information of the transportation capacity resource to be recommended, and the target information at least comprises a target geographical coordinate of the transportation capacity resource aiming at a transportation capacity site;
the target geographic range determining module is used for determining a target geographic range for matching the transportation capacity resource with the transportation capacity site according to the target geographic coordinate;
the candidate site determination module is used for determining the candidate transportation capacity site bound to the target geographic range;
the target site determining module is used for determining a target capacity site matched with the capacity resource from the candidate capacity sites according to the capacity demand data of the candidate capacity sites;
and the recommendation information generation module is used for generating recommendation information, and the recommendation information is used for recommending the capacity resources to the target capacity site.
In a third aspect, an embodiment of the present invention further provides a server, including: at least one memory and at least one processor; the memory stores one or more computer-executable instructions that are invoked by the processor to perform the capacity resource recommendation method described above.
In a fourth aspect, an embodiment of the present invention further provides a storage medium, where the storage medium stores one or more computer-executable instructions, and the one or more computer-executable instructions are configured to perform the capacity resource recommendation method described above.
According to the capacity resource recommendation method provided by the embodiment of the invention, the capacity resource can be considered for the target geographic coordinate of the capacity site, and the candidate capacity site near the target geographic coordinate is screened out, so that the candidate capacity site can be the capacity site intended by the capacity resource at a distance level; in consideration of the capacity requirement condition of the candidate capacity sites, the embodiment of the invention determines the finally matched target capacity site from the candidate capacity sites, so that the capacity requirements among the capacity sites can be balanced, the possibility that the capacity resource is accepted by the target capacity site is improved, and the accurate matching of the capacity site and the capacity resource is realized on the capacity requirement level. Therefore, the capacity resource recommendation method provided by the embodiment of the invention can improve the matching accuracy of capacity resources and capacity sites, so that the matched target capacity site is a capacity site of the capacity resource intention, and the target capacity site is a capacity site with capacity requirements, and thus the recommendation effect can be improved when the capacity resources are recommended to the target capacity site.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a block diagram of a capacity resource recommendation system according to an embodiment of the present invention;
fig. 2 is a flowchart of a capacity resource recommendation method according to an embodiment of the present invention;
fig. 3 is another flowchart of a method for recommending capacity resources according to an embodiment of the present invention;
FIG. 4 is an exemplary diagram of a first map grid bound capacity site;
FIG. 5 is an exemplary diagram of a second map grid;
fig. 6 is a flowchart of determining a capacity demand value of a capacity site according to an embodiment of the present invention;
fig. 7 is a flowchart of determining a target capacity site according to an embodiment of the present invention;
FIG. 8 is an exemplary process diagram provided by an embodiment of the present invention;
fig. 9 is a block diagram of a capacity resource recommendation device according to an embodiment of the present invention;
fig. 10 is another block diagram of a capacity resource recommendation device according to an embodiment of the present invention;
fig. 11 is a further block diagram of a capacity resource recommendation device according to an embodiment of the present invention;
fig. 12 is a block diagram of a server.
Detailed Description
In the process of recommending the capacity resources to the capacity sites, the capacity resources are required to be matched with the capacity sites, so that the capacity resources are recommended to the matched capacity sites; at present, the capacity resource and the capacity site are matched based on a multi-level administrative region, and whether the capacity site exists is matched step by step from the intentional administrative region by obtaining the intentional administrative region of the capacity resource according to the sequence of the levels of the administrative region from low to high until the capacity site is matched in the administrative region of a certain level, and the capacity resource is recommended to the matched capacity site;
in the multi-level administrative areas, the lower-level administrative areas are generally categorized as higher-level administrative areas, and taking the three-level administrative areas as an example, the lowest third-level administrative area is categorized as a second-level administrative area, and the second-level administrative area is categorized as a highest first-level administrative area, for example, a provincial administrative area, a county-level administrative area, and a rural administrative area.
In the above manner of matching the transportation capacity resource and the transportation capacity site based on the multi-level administrative regions, since the matching granularity is large (that is, the transportation capacity site is matched with the administrative regions), it is very likely that the matched transportation capacity site is not the transportation capacity site intended by the transportation capacity resource, and there is a problem that the matching accuracy of the transportation capacity resource and the transportation capacity site is low; for example, the intended administrative region of the capacity resource is a rural administrative region, and when the rural administrative region is not matched with the capacity site, the administrative region is matched up step by step, so that the capacity site is matched in a county administrative region to which the rural administrative region belongs, even a provincial administrative region, which results in a large deviation between the position of the finally matched capacity site and the intended position of the capacity resource; at this time, if the capacity resource is recommended to the matched capacity site, the possibility that the capacity resource is added to the recommended capacity site is extremely low, so that the satisfaction degrees of the capacity resource and the capacity site on the recommendation result are low, and the recommendation effect is greatly influenced.
Based on this, the embodiment of the invention provides an improved capacity resource recommendation scheme to improve the matching accuracy of capacity resources and capacity sites, so that the matched capacity sites are capacity sites of capacity resource intentions, and the recommendation effect can be improved when capacity resources are recommended to the matched capacity sites.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As an alternative implementation, fig. 1 shows an alternative block diagram of a capacity resource recommendation system provided in an embodiment of the present invention, and as shown in fig. 1, the capacity resource recommendation system may include: the system comprises a plurality of information channels 1, a capacity resource set 2, a server 3 and capacity site equipment 4.
Optionally, the information channel 1 may be regarded as a channel for collecting information of the capacity resources to be recommended in the embodiment of the present invention, and the information of the capacity resources to be recommended may be collected through multiple channels in the embodiment of the present invention; in an example, the information channels such as entry channels of capacity resources, each entry channel may collect entry information of capacity resources, the entry channels according to an embodiment of the present invention may include an official website entry channel, a short message entry channel, an internal promotion entry channel, a scanning two-dimensional code entry channel, and the like, and the capacity resources may submit entry information through the entry channels;
it should be noted that, an information channel may correspond to a channel platform, and a corresponding platform architecture provides channel service support, for example, an official website registration channel corresponds to an official website platform, and a platform architecture of the official website platform provides service support of official website registration.
The transport capacity resource set 2 can summarize the information of the transport capacity resources collected by each information channel; optionally, the capacity resource set 2 may be implemented by a database support, for example, the information of the capacity resources collected by each information channel may be collected into the database in a unified manner to form the capacity resource set; optionally, after summarizing the information of the transportation capacity resource collected by each information channel, if the same transportation capacity resource has multiple pieces of the same information (for example, the same transportation capacity resource submits the same information through different information channels), the embodiment of the present invention may perform deduplication processing on multiple pieces of information of the same transportation capacity resource, and then record the duplicate pieces of information into the transportation capacity resource set.
In an optional implementation, the server 3 may match the capacity site with the corresponding capacity resource in the capacity resource set by using the capacity resource recommendation method provided in the embodiment of the present invention, and recommend the capacity resource to the matched capacity site; optionally, the server 3 may be a service device that is specially configured to execute the method for recommending the transportation capacity resource provided in the embodiment of the present invention, or may be a service device that implements the recommendation of the transportation capacity resource in an online internet platform (the service device may be a part of a device in an online internet platform architecture), in an example, the online internet platform may generate a transportation capacity task based on a user request, and the transportation capacity task is executed by the transportation capacity resource indicated in the embodiment of the present invention; optionally, the server 3 may be a single server, or may be a server group formed by multiple servers;
the capacity site device 4 is an electronic device corresponding to the capacity site, and the electronic device may be a terminal device such as a personal computer, a tablet computer, a smart phone, or the like, or may be a network side device, and in an example, the capacity site device may manage information of the capacity site; in the embodiment of the invention, after the server determines the capacity site matched with the capacity resource, the server can send recommendation information to the capacity site equipment corresponding to the capacity site so as to recommend the capacity resource to the matched capacity site.
In the capacity resource recommendation system shown in fig. 1, the capacity resource set summarizes the information of the capacity resources collected by each information channel, so that the entry traffic of the capacity resources can be increased, and the server uniformly matches the capacity resources corresponding to the capacity resources in the capacity resource set with capacity sites, thereby improving the matching efficiency of the capacity sites. Of course, the architecture of the capacity resource recommendation system shown in fig. 1 is only an optional architecture, and the embodiment of the present invention may also support the server to process the capacity resource information collected by a single information channel, so as to implement matching of capacity resources with capacity sites.
In an optional implementation, a process of the server executing the capacity resource recommendation method provided by the embodiment of the present invention may be as shown in fig. 2, where the process shown in fig. 2 may be implemented based on the system shown in fig. 1, and may also support a case where the server processes capacity resource information collected by a single information channel; aiming at any transport capacity resource to be recommended, the server can execute the transport capacity resource recommendation method provided by the embodiment of the invention to realize the matching of the transport capacity resource with the transport capacity site and recommend the transport capacity resource to the matched transport capacity site; referring to fig. 2, a process of the capacity resource recommendation method provided by the embodiment of the present invention may include:
step S10, target information of the transportation capacity resource to be recommended is obtained, wherein the target information at least comprises a target geographical coordinate of the transportation capacity resource for the transportation capacity site.
In an optional implementation, the server may obtain target information of the capacity resource to be recommended from the capacity resource set, and as described above, the capacity resource set may summarize information of the capacity resource to be recommended, which is collected by each information channel; optionally, the server may obtain the target information of the capacity resources to be recommended, which is summarized by the capacity resource set, at regular time, so as to execute the capacity resource recommendation method provided by the embodiment of the present invention at regular time, match capacity sites for the corresponding capacity resources in the capacity resource set at regular time, and recommend the capacity resources to the matched capacity sites.
In another alternative implementation, the server may also periodically obtain the target information of the capacity resource to be recommended from a single information channel.
In the embodiment of the present invention, the information of the capacity resource collected by the information channel may include the target information, for example, when the capacity resource submits the entry information through the information channel, the submitted entry information may include the target information.
No matter what manner the server obtains the target information of the capacity resource to be recommended, for any capacity resource to be recommended, the target information of the capacity resource may at least include: the capacity resource is directed to a target geographic coordinate of the capacity site. The target geographic coordinates may be considered geographic coordinates of the intent of the capacity resource, and capacity sites present near the target geographic coordinates may be considered capacity sites to which the intent of the capacity resource joins.
It should be noted that, unlike the way of matching the transportation capacity resource and the transportation capacity site according to the multi-level administrative area, in the embodiment of the present invention, the address intention of the transportation capacity resource to the transportation capacity site is not expressed by the administrative area, but is expressed by a specific target geographic coordinate, which may be, for example, a target longitude and latitude coordinate.
Optionally, the target geographic coordinate of the transportation capacity resource may be input when the transportation capacity resource submits information through an information channel; as an example, when reporting the capacity resource, the terminal device of the capacity resource may display a report page, the report page may display map data, the capacity resource may select a target geographic coordinate in the map data based on its own intention, for example, the capacity resource clicks a certain position of the map data, the geographic coordinate of the position may be regarded as the target geographic coordinate, and the terminal device of the capacity resource records the target geographic coordinate and carries the target geographic coordinate in report information submitted to a report channel.
Optionally, the target information of the transportation capacity resource may include other contents besides the target geographic coordinates, such as an identity of the transportation capacity resource, basic information (e.g., gender, age), and the like; the specific content of the target information may be set according to actual situations, and the embodiment of the present invention is not limited.
And step S11, determining a target geographical range for matching the capacity resource with the capacity site according to the target geographical coordinates.
Based on the target geographic coordinates, the embodiment of the present invention may determine the geographic range of the capacity resource matching the capacity site, and for convenience of description, the embodiment of the present invention refers to the geographic range as the target geographic range.
Optionally, the target geographic range may be a map grid to which the target geographic coordinate belongs, and for convenience of description, the map grid to which the target geographic coordinate belongs may be referred to as a first map grid in the embodiment of the present invention; the map grids are basic geographic units obtained by meshing and dividing map data, and one map grid corresponds to one geographic area in the map data and comprises geographic coordinates of the corresponding geographic area; based on the target geographic coordinate in step S10, in an alternative implementation of step S11, the embodiment of the present invention may determine the first map grid to which the target geographic coordinate belongs (i.e., the first map grid on which the target geographic coordinate is located), so as to determine the target geographic range.
In another optional implementation, the target information of the capacity resource may further include a target distance, where the target distance may be input when the capacity resource submits information through an information channel, and the target distance may represent a distance of a capacity site acceptable to the capacity resource near the target geographic coordinate; the embodiment of the invention can determine the initial geographic range taking the target geographic coordinate as the center and the target distance as the radius, thereby taking the map grid corresponding to the initial geographic range as the target geographic range; for convenience of description, in the embodiment of the present invention, the map grid corresponding to the initial geographic range is referred to as a second map grid. In one example, the second map grid may include: a map grid within the initial geographic range, and a map grid intersecting the initial geographic range.
Of course, the above manners of determining the target geographic range may also be combined with each other, for example, when the first map grid does not match the capacity site, the embodiment of the present invention may match the capacity site based on the second map grid, and at this time, the second map grid may serve as the target geographic range; for another example, when a capacity site is matched based on the first map grid, the first map grid may be directly used as the target geographic range without using the second map grid.
It should be noted that the above-described manner for determining the target geographic range is only optional, and the embodiment of the present invention is not limited to other manners for determining the target geographic range.
And step S12, determining the candidate transportation capacity site bound by the target geographic range.
Optionally, based on the target geographic range determined in step S11, the embodiment of the present invention may determine the candidate transportation capacity site bound to the target geographic range; in an optional implementation, the target geographic range may be the first map grid or the second map grid, and the map grid may have a binding relationship with the capacity site.
Based on step S12, the embodiment of the present invention may obtain the candidate transportation capacity site near the target geographic coordinate of the transportation capacity resource, so that the determined geographic location of the candidate transportation capacity site is closer to the target geographic location of the intention of the transportation capacity resource, and may be implemented as the transportation capacity site matching the intention at a distance level.
And step S13, determining a target capacity site matched with the capacity resource from the candidate capacity sites according to the capacity demand data of the candidate capacity sites.
In order to further improve matching accuracy, in the embodiment of the invention, under the condition of determining candidate capacity sites, the capacity demand condition of the capacity sites can be considered, so that a target capacity site finally matched with capacity resources is determined from the candidate capacity sites according to the capacity demand data of the candidate capacity sites; in an optional implementation, the embodiment of the invention can determine a target capacity site with a large capacity demand from the candidate capacity sites based on the capacity demand data of the candidate capacity sites, so that the capacity resource is preferentially matched with the capacity site with the large capacity demand, and the capacity demand of the capacity site is relieved.
Therefore, in the embodiment of the invention, the candidate capacity sites are matched for capacity resources from a distance level, and the capacity demand level of the capacity sites is considered under the condition that the candidate capacity sites are matched, and the capacity sites with larger capacity demand are preferentially matched for the capacity resources from the candidate capacity sites, so that the capacity resources and the capacity sites are accurately matched by combining the position intention of the capacity resources to the capacity sites and the capacity demand of the capacity sites.
Optionally, the number of the target capacity sites may be one or more, for example, the target capacity site may be a capacity site with the largest capacity demand among the candidate capacity sites, or the target capacity site may be a capacity site with the largest capacity demand among the candidate capacity sites.
And step S14, generating recommendation information, wherein the recommendation information is used for recommending the capacity resources to the target capacity site.
In order to recommend the capacity resources to the target capacity site, the embodiment of the present invention may generate recommendation information for recommending the capacity resources to the target capacity site.
Optionally, the server may further send the recommendation information to the device of the target capacity site, so that after the device of the target capacity site obtains the recommendation information, the server may process the recommendation information to determine whether the target capacity site accepts the recommended capacity resource.
The method for recommending the transport capacity resource provided by the embodiment of the invention can be used for acquiring the target information of the transport capacity resource aiming at any transport capacity resource to be recommended, wherein the target information at least comprises the target geographical coordinate of the transport capacity resource aiming at a transport capacity site; therefore, according to the target geographic coordinates, the embodiment of the invention can determine the target geographic range of the capacity resource matching capacity site, and determine the candidate capacity site bound by the target geographic range; furthermore, according to the embodiment of the invention, the target capacity site which is finally matched with the capacity resource can be determined from the candidate capacity sites according to the capacity demand data of the candidate capacity sites, so that the purpose that the capacity resource is accurately matched with the target capacity site is realized on the basis of combining the position intention of the capacity resource to the capacity site and the capacity demand of the capacity site; in order to recommend the capacity resource to the target capacity site, the embodiment of the invention can generate recommendation information so as to recommend the capacity resource to the target capacity site through the recommendation information.
According to the capacity resource recommendation method provided by the embodiment of the invention, the capacity resource can be considered for the target geographic coordinate of the capacity site, and the candidate capacity site near the target geographic coordinate is screened out, so that the candidate capacity site can be the capacity site intended by the capacity resource at a distance level; in consideration of the capacity requirement condition of the candidate capacity sites, the embodiment of the invention determines the finally matched target capacity site from the candidate capacity sites, so that the capacity requirements among the capacity sites can be balanced, the possibility that the capacity resource is accepted by the target capacity site is improved, and the accurate matching of the capacity site and the capacity resource is realized on the capacity requirement level. Therefore, the capacity resource recommendation method provided by the embodiment of the invention can improve the matching accuracy of capacity resources and capacity sites, so that the matched target capacity site is a capacity site of the capacity resource intention, and the target capacity site is a capacity site with capacity requirements, and thus the recommendation effect can be improved when the capacity resources are recommended to the target capacity site.
In an optional implementation, the embodiment of the invention can match the candidate transportation capacity site based on the first map grid to which the target geographic coordinate belongs, and match the candidate transportation capacity site by combining the target geographic coordinate and the target distance when the candidate transportation capacity site is not matched; optionally, fig. 3 shows another flow of the capacity resource recommendation method provided in the embodiment of the present invention, and as shown in fig. 3, the flow may include:
step S20, target information of the transportation capacity resource to be recommended is obtained, wherein the target information at least comprises a target geographic coordinate and a target distance.
Optionally, the target geographic coordinate and the target distance may be input when the transportation capacity resource submits information through an information channel, for example, when the transportation capacity resource is registered, the terminal device of the transportation capacity resource may display a registration page, the registration page may display map data, and the terminal device of the transportation capacity resource may record the target geographic coordinate selected by the transportation capacity resource in the map data; further, after the target geographic coordinate is determined, the terminal device of the capacity resource may present a plurality of distance options, one distance option may correspond to one distance, which represents a distance, relative to the target geographic coordinate, of the capacity site that the capacity resource can accept, so that the capacity resource may select one distance option from the plurality of distance options, and the distance corresponding to the distance option may be taken as the target distance; optionally, in another implementation, the embodiment of the present invention may also support the capacity resource to customize the target distance, for example, support the capacity resource to input the target distance.
And step S21, determining a first map grid to which the target geographic coordinate belongs.
And step S22, judging whether the first map grid is bound with a transportation capacity site, if so, executing step S23, and if not, executing step S24.
Optionally, the transportation capacity site and the map grid have a binding relationship, and the embodiment of the invention can judge whether the first map grid is bound with the transportation capacity site or not based on the binding relationship between the transportation capacity site and the map grid.
And step S23, determining the capacity site bound by the first map grid as a candidate capacity site.
When the determination result in step S22 is yes, the first map grid is used as a target geographic range for matching the capacity resource with the capacity site, so that in step S23, the capacity site bound by the first map grid may be used as a candidate capacity site; based on the determined candidate capacity site, embodiments of the present invention may perform the following step S26.
For example, fig. 4 shows an exemplary diagram of a first map grid binding capacity sites, and as shown in fig. 4, the first map grid to which the target geographic coordinate a belongs is map grid a1, map grid a1 binds capacity sites B1 and B2, and map grid a2, which is different from map grid a1, binds capacity sites B3, and map grid A3 binds capacity sites B4, B5, and B6, so that embodiments of the present invention can determine capacity sites B1 and B2 bound by first map grid a1 as candidate capacity sites; of course, the first map grid to which the target geographic coordinate belongs may also be unbound with the capacity site, for example, when the first map grid is the map grid a4 shown in fig. 4, the map grid a4 is unbound with the capacity site, and at this time, the determination result in step S22 is no.
And step S24, determining an initial geographic range with the target geographic coordinate as the center and the target distance as the radius, and determining a second map grid corresponding to the initial geographic range.
If the determination result in step S22 is "no", it indicates that the candidate transportation capacity site cannot be found only by the target geographic coordinate, and at this time, the embodiment of the present invention may determine that the target geographic coordinate is the center and the target distance is the initial geographic range of the radius.
Based on the initial geographic range, embodiments of the invention may determine a second map grid corresponding to the initial geographic range. In an alternative implementation, the second map grid may include: a map grid within the initial geographic range, a map grid intersecting the initial geographic range; for example, as shown in fig. 5, the circular range in fig. 5 is centered on the target geographic coordinate, the target distance is an initial geographic range of a radius, the map grid in the initial geographic range is a5, and the map grids intersecting the initial geographic range are a1, a2, A3, a4, a6, a7, A8, and a9, so that the map grids corresponding to the initial geographic range may be considered as a1 to a 9.
And step S25, determining the candidate transportation capacity site bound by the second map grid.
Optionally, in the embodiment of the present invention, based on the binding relationship between the map grid and the transportation capacity site, a candidate transportation capacity site bound by the second map grid is determined; for example, based on the example of fig. 5, embodiments of the present invention may determine that a capacity site bound by map grids a 1-a 9 is a candidate capacity site.
Based on the candidate capacity site determined in step S25, embodiments of the invention may perform a subsequent step S26.
And step S26, determining a target transportation capacity site from the candidate transportation capacity sites according to the transportation capacity demand data of the candidate transportation capacity sites.
And step S27, generating recommendation information, wherein the recommendation information is used for recommending the capacity resources to the target capacity site.
According to the embodiment of the invention, the candidate transportation capacity sites can be matched with the first map grid to which the target geographic coordinate belongs preferentially, and when the candidate transportation capacity sites cannot be matched with the first map grid, the bottom pocket matching of the candidate transportation capacity sites is carried out through the second map grid determined based on the target geographic coordinate and the target distance, so that the accurate matching of the transportation capacity sites and the transportation capacity resources is realized at the distance level of the intention of the transportation capacity resources.
It should be noted that the manner of determining the candidate transportation capacity site shown in fig. 3 is only optional, and the embodiment of the present invention may also directly use the first map grid or the second map grid to determine the candidate transportation capacity site;
for example, when determining candidate capacity sites directly using the first map grid, an alternative implementation of step S11 shown in fig. 2 may be: determining a first map grid to which the target geographic coordinate belongs as the target geographic range; accordingly, an alternative implementation of step S12 shown in fig. 2 may be: determining candidate transportation capacity sites bound by the first map grid according to the binding relationship between the map grid and the transportation capacity sites;
as another example, when determining candidate capacity sites directly using the second map grid, an alternative implementation of step S11 shown in fig. 2 may be: determining an initial geographic range with the target geographic coordinate as a center and the target distance as a radius, and taking a second map grid corresponding to the initial geographic range as the target geographic range; accordingly, an alternative implementation of step S12 shown in fig. 2 may be: and determining candidate transportation capacity sites bound by the second map grid according to the binding relationship between the map grid and the transportation capacity sites.
It should be further noted that, when determining a candidate capacity site based on the first map grid or determining a candidate capacity site based on the second map grid, the embodiment of the present invention may also cause a situation that the candidate capacity site cannot be determined, for example, the candidate capacity site is not bound to the first map grid or the candidate capacity site is not bound to the second map grid, and at this time, the embodiment of the present invention may terminate the subsequent process of determining the target capacity site.
Optionally, if the method for recommending the capacity resource provided in the embodiment of the present invention is set to be executed at a fixed time, when the next fixed time comes, for each corresponding capacity resource (including the capacity resource that is not determined to the candidate capacity site) in the capacity resource set, the embodiment of the present invention may match the capacity site for the capacity resource, and recommend the capacity resource to the matched capacity site when the capacity resource is matched to the capacity site;
it can be understood that, at intervals of a plurality of timing times, the capacity resource to the candidate capacity site is not determined originally, and the candidate capacity site is determined possibly due to the newly added binding relationship between the map grid and the capacity site (for example, the map grid to which the capacity site is not bound originally is newly added and the capacity site is bound).
In an optional implementation, the capacity demand condition of the capacity site can be represented by the capacity demand value of the capacity site, the larger the capacity demand value of the capacity site is, and conversely, the smaller the capacity demand value of the capacity site is; optionally, fig. 6 shows an optional process for determining the capacity demand value of the capacity site according to the embodiment of the present invention, and as shown in fig. 6, the process may include:
and step S30, predicting the capacity resource target quantity of the capacity site according to the historical task data of the capacity site.
Optionally, the embodiment of the present invention may determine the historical daily average task volume of the capacity site based on the historical task data of the capacity site, so as to predict the capacity resource target number of the capacity site according to the historical daily average task volume of the capacity site, the estimated daily average task volume increase of the capacity site, the daily average completed task volume of the capacity resource of the capacity site; the target number of the capacity resources of the capacity site can be considered as the number of the capacity resources which the capacity site needs to reach to meet the capacity requirement;
in an alternative implementation, the embodiment of the present invention may determine the capacity resource target number of the capacity site based on the following formula:
T=U*(1+a)/N;
wherein, T represents the capacity resource target number of the capacity site, U represents the historical daily average task volume of the capacity site, a represents the estimated daily average task volume increase of the capacity site, a may be a preset estimation value, and N represents the daily average completed task volume of the capacity resource of the capacity site;
optionally, in the embodiment of the present invention, the value of U may be determined based on historical task data of a set historical time period, and correspondingly, a may be an estimated daily average task amount increase of the capacity site in the future set time period, and the durations of the historical set time period and the future set time period may be the same; for example, if the historical time period is set as the past two weeks and the future time period is set as the future two weeks, U may represent the average task amount of the capacity site in the past two weeks per day, and a may represent the estimated average task amount increase of the capacity site in the future two weeks; in this example, the capacity resource target quantity comprehensively considers the historical task quantity of the capacity site, the predicted future task quantity increase and the task quantity of the capacity resource which is evenly completed every day, so that the capacity resource demand quantity of the capacity site in a future set time period (for example, two weeks in the future) can be reflected to a certain extent, and the capacity resource target quantity of the capacity site can be predicted more accurately.
Alternatively, the task referred to by the embodiments of the present invention may be a capacity task.
And step S31, determining the capacity demand value of the capacity site according to the capacity resource target quantity of the capacity site and the current capacity resource quantity of the capacity site.
In an optional implementation, the embodiment of the invention can divide the target quantity of the capacity resources of the capacity site by the current quantity of the capacity resources to obtain the capacity demand value of the capacity site; for example, assuming that the capacity demand value is V and the current number of capacity resources is P, the capacity demand value of a capacity site can be expressed as:
V=T/P;
when V <1, the capacity site is not lack of capacity resources; when V is 1, the transport capacity requirement of the transport capacity site is in a balanced state, and the current transport capacity resource of the transport capacity resource just meets the transport capacity requirement; when V >1, the state that the capacity site is lack of capacity resources is represented; it can be seen that the larger the value of V (i.e., the larger the value of the capacity demand), the greater the capacity demand of the capacity site.
Optionally, for each capacity site, the embodiment of the present invention may execute the flow shown in fig. 6 to obtain a capacity demand value of each capacity site; optionally, further, the embodiment of the present invention may update the required capacity values of the capacity sites at regular time by using the flow shown in fig. 6, for example, the embodiment of the present invention may set an update time, so that when the current time reaches the update time, the required capacity values of all the capacity sites are updated once by using the flow shown in fig. 6; the update time may be specifically set according to an actual situation, and the embodiment of the present invention is not limited.
The embodiment of the invention can record the capacity demand value of each capacity site and update the recorded capacity demand value of each capacity site at regular time, so that after the candidate capacity sites are determined, the embodiment of the invention can determine the capacity demand values of the candidate capacity sites based on the recorded capacity demand values of each capacity site, and further determine the target capacity site from the candidate capacity sites according to the capacity demand values of the candidate capacity sites; optionally, fig. 7 shows an optional process for determining a target capacity site according to an embodiment of the present invention, and as shown in fig. 7, the process may include:
and step S40, determining the capacity demand value of the candidate capacity site from the pre-recorded capacity demand values of the capacity sites.
Optionally, based on the flow shown in fig. 6, the embodiment of the present invention may update the pre-recorded capacity demand values of each capacity site at regular time; and after the candidate transportation capacity sites are determined, the transportation capacity demand values of the candidate transportation capacity sites are determined based on the pre-recorded transportation capacity demand values of the transportation capacity sites.
And step S41, determining the capacity stations with the maximum capacity demand value as target capacity stations.
The embodiment of the invention can sequence the candidate capacity sites according to the capacity demand values of the candidate capacity sites, thereby determining the capacity sites with the maximum capacity demand values and taking the capacity sites with the front set number as target capacity sites from the candidate capacity sites. Optionally, the specific numerical value of the set quantity may be defined according to an actual situation, and if the set quantity is defined to be 5, the embodiment of the present invention may determine, from the candidate transportation capacity sites, the first 5 transportation capacity sites with the largest transportation capacity demand value as the target transportation capacity sites.
According to the embodiment of the invention, on the basis of updating the capacity demand values of the capacity sites at regular time, the capacity demand values of the capacity sites can be timely and accurately prerecorded, and then the target capacity sites with the maximum capacity demand values and the maximum front set number are determined through the capacity demand values of the candidate capacity sites, so that the capacity sites and capacity resources can be accurately matched on the capacity demand level.
In an optional implementation, the embodiment of the present invention may periodically obtain the capacity resources to be recommended from the capacity resource set, so that based on the capacity resource recommendation method provided by the embodiment of the present invention, the capacity resources in the capacity resource set are periodically matched with the target capacity site, and the capacity resources are recommended to the matched target capacity site; accordingly, an alternative implementation of step S10 shown in fig. 2 may be: and acquiring target information of the transportation resources to be recommended in the transportation resource set at regular time, wherein the transportation resource set can summarize the target information of the transportation resources to be recommended, which is collected by each information channel.
Optionally, the capacity resource set may include, in addition to the target information of the capacity resource to be recommended collected by each information channel, further: target information of the capacity resources with history not matched with the target capacity site, and/or target information of the capacity resources with history matched with the target capacity site but with processing overtime of the recommended information and flowing back to the capacity resource set;
it should be noted that, in the stage of determining the candidate capacity site for the capacity resource to be recommended, the candidate capacity site may not be matched near the target geographic coordinate of the capacity resource, and at this time, since the candidate capacity site cannot be matched, the target capacity site cannot be determined from the candidate capacity site, and it may be considered that the capacity resource is not matched to the target capacity site; and continuing to reserve the capacity resources which are not matched with the target capacity site in the capacity resource set so as to wait for the capacity resources to be matched with the target capacity site when the next timing time comes.
In addition, after the recommendation information is sent to the equipment of the target capacity site, the target capacity site may not process the recommendation information for a long time, and at this time, the capacity resource which is matched with the target capacity site but processes the recommendation information overtime by the target capacity site can be returned to the capacity resource set, so as to continue to match the target capacity site for the capacity resource when the next timing time arrives; optionally, the timeout time may be specifically set, and the embodiment of the present invention is not limited.
Optionally, the target information of the capacity resource in the capacity resource set may be stored for a certain preset duration, and for the capacity resource of the target capacity site that is not yet matched with the preset duration, the embodiment of the present invention may delete the target information of the capacity resource from the capacity resource set; in an optional implementation, the embodiment of the present invention may determine that the preset duration in the capacity resource set does not match the target information of the capacity resource of the target capacity site, and delete the determined target information from the capacity resource set, where the process may be executed in a timed manner or in real time, so as to delete the information of the capacity resource set that has not been successfully matched for a long time, so as to release the storage space of the capacity resource set, and reduce the invalid matching work.
In an application example, based on the capacity resource recommendation method provided by the embodiment of the invention, the embodiment of the invention can recommend capacity resources for capacity sites in a scene where the capacity sites recruit the capacity resources; optionally, with reference to the application example process diagram of fig. 8, the application example process provided by the embodiment of the present invention may be as follows:
and step S01, submitting the registration information by the capacity resource through a registration channel.
Optionally, the registration information may at least include a target longitude and latitude coordinate and a target distance of the capacity resource for the capacity site; the embodiment of the invention can support a plurality of entry channels, so that the capacity resource can submit entry information in a plurality of entry modes.
And step S02, collecting the entry information of the capacity resources of each entry channel to a capacity resource pool.
The capacity resource pool can be considered as an alternative form of capacity resource collection;
the embodiment of the invention can be provided with a server, and the entry information of the capacity resources gathered in the capacity resource pool is processed at regular time, so that the capacity resources are matched with the target capacity site, and the capacity resources are recommended to the target capacity site; an example processing procedure of the server may be as shown in steps S03 to S08 as follows.
And step S03, searching a first map grid through the longitude and latitude coordinates of the target.
Step S04, determining whether the first map grid is bound with a transportation site, if yes, executing step S05, and if no, executing step S06.
And step S05, determining the capacity site bound by the first map grid as a candidate capacity site.
And step S06, searching a second map grid through the longitude and latitude coordinates and the target distance of the target, and determining the capacity site bound by the second map grid as a candidate capacity site.
And step S07, determining the top n target capacity sites with the maximum capacity demand values from the candidate capacity sites based on the capacity demand values of the candidate capacity sites.
Alternatively, n may represent the set number, and the value of n may be specifically set.
And step S08, sending recommendation information of the capacity resources to the n target capacity sites.
Based on the recommendation information, if the target capacity site accepts the recommended capacity resource, the target capacity site may notify the capacity resource to enter a subsequent recruitment procedure (e.g., enter an interview procedure, etc.).
According to the embodiment of the invention, the information of the transport capacity resources collected by multiple information sources is collected into a uniform transport capacity resource set, so that the inflow of the transport capacity resources can be increased; depending on the binding relationship between the capacity site and the map grid, the embodiment of the invention matches the candidate capacity site based on the target geographic coordinate and the target distance of the capacity resource intention; by introducing the capacity demand data of the capacity sites, the embodiment of the invention preferentially matches the capacity resources with the target capacity sites with larger capacity demand in the candidate capacity sites, and further recommends the capacity resources for the target capacity sites. Therefore, the capacity resource recommendation method provided by the embodiment of the invention can improve the matching accuracy of capacity resources and capacity sites, so that the matched target capacity site is a capacity site of the capacity resource intention, and the target capacity site is a capacity site with capacity requirements, and thus the recommendation effect can be improved when the capacity resources are recommended to the target capacity site.
While various embodiments of the present invention have been described above, various alternatives described in the various embodiments can be combined and cross-referenced without conflict to extend the variety of possible embodiments that can be considered disclosed and disclosed in connection with the embodiments of the present invention.
In the following, the capacity resource recommendation device provided in the embodiment of the present invention is introduced, and the capacity resource recommendation device described below may be considered as a functional module that is required by a server to implement the capacity resource recommendation method provided in the embodiment of the present invention. The content of the capacity resource recommendation device described below may be referred to in correspondence with the content of the capacity resource recommendation method described above.
In an alternative implementation, fig. 9 shows an alternative block diagram of a capacity resource recommendation device provided in an embodiment of the present invention, and as shown in fig. 9, the capacity resource recommendation device may include:
a target information obtaining module 100, configured to obtain target information of a capacity resource to be recommended, where the target information at least includes a target geographic coordinate of the capacity resource for a capacity site;
a target geographic range determining module 110, configured to determine, according to the target geographic coordinates, a target geographic range for matching the capacity resource with the capacity site;
a candidate site determination module 120, configured to determine a candidate transportation site bound to the target geographic range;
a target site determining module 130, configured to determine, according to the capacity demand data of the candidate capacity sites, a target capacity site that is matched with the capacity resource from the candidate capacity sites;
a recommendation information generating module 140, configured to generate recommendation information, where the recommendation information is used to recommend the capacity resource to the target capacity site.
Optionally, in an aspect, the target geographic range determining module 110 is configured to determine, according to the target geographic coordinate, a target geographic range for matching the capacity resource with the capacity site, and includes:
determining a first map grid to which the target geographic coordinate belongs as the target geographic range;
accordingly, the candidate site determination module 120 is configured to determine the candidate transportation capacity site bound to the target geographic area, and includes:
and determining candidate transportation capacity sites bound by the first map grid according to the binding relationship between the map grid and the transportation capacity sites.
Optionally, in another aspect, the target information may further include a target distance; a target geographic range determining module 110, configured to determine a target geographic range for matching the capacity resource with the capacity site according to the target geographic coordinate, where the target geographic range determining module includes:
determining an initial geographic range with the target geographic coordinate as a center and the target distance as a radius, and taking a second map grid corresponding to the initial geographic range as the target geographic range;
accordingly, the candidate site determination module 120 is configured to determine the candidate transportation capacity site bound to the target geographic area, and includes:
and determining candidate transportation capacity sites bound by the second map grid according to the binding relationship between the map grid and the transportation capacity sites.
Optionally, in another aspect, the target information may further include a target distance; a target geographic range determining module 110, configured to determine a target geographic range for matching the capacity resource with the capacity site according to the target geographic coordinate, where the target geographic range determining module includes:
determining a first map grid to which the target geographic coordinate belongs;
if the first map grid is bound with a transportation site, determining that the first map grid is the target geographic range;
and if the first map grid is not bound with the transportation site, determining an initial geographical range taking the target geographical coordinate as the center and the target distance as the radius, and taking a second map grid corresponding to the initial geographical range as the target geographical range.
Accordingly, the candidate site determination module 120 is configured to determine the candidate transportation capacity site bound to the target geographic area, and includes:
if the first map grid is determined to be the target geographic range, determining candidate transportation capacity sites bound by the first map grid;
and if the second map grid corresponding to the geographic range is taken as the target geographic range, determining the candidate transportation capacity site bound by the second map grid.
Optionally, the second map grid corresponding to the initial geographic range may include: a map grid within the initial geographic range, and a map grid intersecting the initial geographic range.
Optionally, the target site determining module 130 is configured to determine, according to the capacity demand data of the candidate capacity sites, a target capacity site matched with the capacity resource from the candidate capacity sites, and includes:
determining the transport capacity demand values of candidate transport capacity sites from the pre-recorded transport capacity demand values of the transport capacity sites, wherein the transport capacity demand values of the transport capacity sites and the transport capacity demands of the transport capacity sites are in a positive correlation;
and determining the transport capacity sites with the maximum transport capacity requirement value as target transport capacity sites.
Optionally, fig. 10 shows another optional block diagram of the capacity resource recommendation device provided in the embodiment of the present invention, and in combination with fig. 9 and fig. 10, the capacity resource recommendation device may further include:
and the updating module 150 is used for updating the pre-recorded capacity demand value of each capacity site at regular time.
Optionally, the updating module 150 is configured to update the pre-recorded capacity demand value of each capacity site at regular time, and includes:
forecasting the transport capacity resource target quantity of the transport capacity site at regular time according to historical task data of the transport capacity site in a set historical time period;
determining a capacity demand value of the capacity site according to the predicted capacity resource target quantity of the capacity site and the current capacity resource quantity of the capacity site;
and updating the recorded capacity demand value of the capacity site according to the determined capacity demand value of the capacity site.
Optionally, the updating module 150 is configured to predict the capacity resource target number of the capacity site according to historical task data of the capacity site in a set historical time period at regular time, and includes:
determining the historical daily average task amount of the capacity site in a set historical time period according to the historical task data of the capacity site in the set historical time period;
and predicting the target quantity of the transportation capacity resources of the transportation capacity site according to the historical daily average task quantity, the estimated daily average task quantity increase of the transportation capacity site in a set time period in the future and the daily average completed task quantity of the transportation capacity resources of the transportation capacity site.
Optionally, the target information obtaining module 100 is configured to obtain target information of the capacity resource to be recommended, and includes:
and acquiring target information of the transportation capacity resources to be recommended from the transportation capacity resource set at regular time, wherein the transportation capacity resource set summarizes the target information of the transportation capacity resources collected by each information channel.
Optionally, the capacity resource set may further include: target information for capacity resources whose history does not match a target capacity site, and/or target information for capacity resources whose history matches a target capacity site but whose recommended information processing times out and flows back to the capacity resource set.
Optionally, fig. 11 shows still another optional block diagram of the capacity resource recommendation device according to the embodiment of the present invention, and in combination with fig. 10 and fig. 11, the capacity resource recommendation device may further include:
a deleting module 160, configured to determine that, in the transportation capacity resource set, the preset time duration does not yet match the target information of the transportation capacity resource of the target transportation capacity site, and delete the determined target information of the transportation capacity resource from the transportation capacity resource set.
According to the embodiment of the invention, the matching accuracy of the capacity resources and the capacity sites can be improved, so that the matched target capacity site is the capacity site of the capacity resource intention, and the target capacity site has capacity resource requirements, therefore, when the capacity resources are recommended to the target capacity site, the recommendation effect can be improved.
In an alternative implementation, the embodiment of the present invention further provides a server, where the server may implement the method for recommending transportation resources provided by the embodiment of the present invention by loading the above-mentioned transportation resource recommending apparatus in the form of computer-executable instructions (e.g., a program). Alternatively, fig. 12 shows an alternative block diagram of a server, which, as shown in fig. 12, may include: the terminal device may include: at least one processor 10, at least one communication interface 20, at least one memory 30 and at least one communication bus 40;
alternatively, the communication interface 20 may be an interface of a communication module for performing network communication;
the processor 10 may be a central processing unit CPU or an application specific Integrated circuit asic or one or more Integrated circuits configured to implement an embodiment of the invention.
The memory 30 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The memory 30 stores one or more computer-executable instructions, and the processor 1 calls the one or more computer-executable instructions to execute the capacity resource recommendation method provided by the embodiment of the present invention.
The embodiment of the present invention further provides a storage medium, where the storage medium may store one or more computer-executable instructions, and the one or more computer-executable instructions may be used to execute the method for recommending a capacity resource provided by the embodiment of the present invention.
Specific functions and extended functions of the computer-executable instructions, which need to be implemented, can be referred to the description of the corresponding parts in the foregoing.
Although the embodiments of the present invention have been disclosed, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
To sum up, in the aspect 1, an embodiment of the present invention provides a capacity resource recommendation method, including:
acquiring target information of a capacity resource to be recommended, wherein the target information at least comprises a target geographical coordinate of the capacity resource for a capacity site;
determining a target geographical range for matching the capacity resources with capacity sites according to the target geographical coordinates;
determining candidate transportation capacity sites bound by the target geographic range;
determining a target capacity site matched with the capacity resource from the candidate capacity sites according to the capacity demand data of the candidate capacity sites;
and generating recommendation information, wherein the recommendation information is used for recommending the capacity resources to the target capacity site.
With reference to the aspect 1, in a1 st implementation manner of the aspect 1, the determining, according to the target geographic coordinate, a target geographic range for matching the capacity resource with the capacity site includes:
determining a first map grid to which the target geographic coordinate belongs as the target geographic range;
the determining the candidate capacity sites for the target geographic scope binding comprises:
and determining candidate transportation capacity sites bound by the first map grid according to the binding relationship between the map grid and the transportation capacity sites.
With reference to the aspect 1, in a2 nd implementation manner of the aspect 1, in the embodiment of the present invention, the target information further includes a target distance; the determining the target geographic range for the capacity resource to match the capacity site according to the target geographic coordinates comprises:
determining an initial geographic range with the target geographic coordinate as a center and the target distance as a radius, and taking a second map grid corresponding to the initial geographic range as the target geographic range;
the determining the candidate capacity sites for the target geographic scope binding comprises:
and determining candidate transportation capacity sites bound by the second map grid according to the binding relationship between the map grid and the transportation capacity sites.
With reference to the aspect 1, in a3 rd implementation manner of the aspect 1, in the embodiment of the present invention, the target information further includes a target distance; the determining the target geographic range for the capacity resource to match the capacity site according to the target geographic coordinates comprises:
determining a first map grid to which the target geographic coordinate belongs;
if the first map grid is bound with a transportation site, determining that the first map grid is the target geographic range;
and if the first map grid is not bound with the transportation site, determining an initial geographical range taking the target geographical coordinate as the center and the target distance as the radius, and taking a second map grid corresponding to the initial geographical range as the target geographical range.
With reference to the 3 rd implementation manner of the aspect 1, in a4 th implementation manner of the aspect 1, the determining the candidate transportation capacity site of the target geographical range binding includes:
if the first map grid is determined to be the target geographic range, determining candidate transportation capacity sites bound by the first map grid;
and if the second map grid corresponding to the geographic range is taken as the target geographic range, determining the candidate transportation capacity site bound by the second map grid.
With reference to the 2 nd to 4 th implementation manners of the aspect 1, in a5 th implementation manner of the aspect 1, an embodiment of the present invention includes that the second map grid corresponding to the initial geographic range includes: a map grid within the initial geographic range, and a map grid intersecting the initial geographic range.
With reference to the aspect 1, in a6 th implementation manner of the aspect 1, the determining, according to the capacity demand data of the candidate capacity sites, a target capacity site matching the capacity resource from the candidate capacity sites includes:
determining the transport capacity demand values of candidate transport capacity sites from the pre-recorded transport capacity demand values of the transport capacity sites, wherein the transport capacity demand values of the transport capacity sites and the transport capacity demands of the transport capacity sites are in a positive correlation;
and determining the transport capacity sites with the maximum transport capacity requirement value as target transport capacity sites.
With reference to the 6 th implementation manner of the aspect 1, in the 7 th implementation manner of the aspect 1, the method further includes:
and updating the pre-recorded capacity demand value of each capacity site at regular time.
With reference to the 7 th implementation manner of the aspect 1, in an 8 th implementation manner of the aspect 1, the periodically updating the pre-recorded capacity demand values of the capacity sites includes:
forecasting the transport capacity resource target quantity of the transport capacity site at regular time according to historical task data of the transport capacity site in a set historical time period;
determining a capacity demand value of the capacity site according to the predicted capacity resource target quantity of the capacity site and the current capacity resource quantity of the capacity site;
and updating the recorded capacity demand value of the capacity site according to the determined capacity demand value of the capacity site.
With reference to the 8 th implementation manner of the aspect 1, in an embodiment of the invention, in the 9 th implementation manner of the aspect 1, the predicting, at the timing according to the historical task data of the capacity site in the set historical time period, the capacity resource target amount of the capacity site includes:
determining the historical daily average task amount of the capacity site in a set historical time period according to the historical task data of the capacity site in the set historical time period;
and predicting the target quantity of the transportation capacity resources of the transportation capacity site according to the historical daily average task quantity, the estimated daily average task quantity increase of the transportation capacity site in a set time period in the future and the daily average completed task quantity of the transportation capacity resources of the transportation capacity site.
With reference to the aspect 1, in a 10 th implementation manner of the aspect 1, the acquiring target information of the capacity resource to be recommended includes:
and acquiring target information of the transportation capacity resources to be recommended from the transportation capacity resource set at regular time, wherein the transportation capacity resource set summarizes the target information of the transportation capacity resources collected by each information channel.
With reference to the 10 th implementation manner of the aspect 1, in an 11 th implementation manner of the aspect 1, the capacity resource set further includes: target information for capacity resources whose history does not match a target capacity site, and/or target information for capacity resources whose history matches a target capacity site but whose recommended information processing times out and flows back to the capacity resource set.
With reference to the 10 th or 11 th implementation manner of the aspect 1, in a 12 th implementation manner of the aspect, the method further includes:
and determining the target information of the capacity resource of the target capacity site, which is not matched with the preset time length in the capacity resource set, and deleting the determined target information of the capacity resource from the capacity resource set.
In a second aspect, an embodiment of the present invention provides a capacity resource recommendation device, including:
the system comprises a target information acquisition module, a recommendation module and a recommendation module, wherein the target information acquisition module is used for acquiring target information of the transportation capacity resource to be recommended, and the target information at least comprises a target geographical coordinate of the transportation capacity resource aiming at a transportation capacity site;
the target geographic range determining module is used for determining a target geographic range for matching the transportation capacity resource with the transportation capacity site according to the target geographic coordinate;
the candidate site determination module is used for determining the candidate transportation capacity site bound to the target geographic range;
the target site determining module is used for determining a target capacity site matched with the capacity resource from the candidate capacity sites according to the capacity demand data of the candidate capacity sites;
and the recommendation information generation module is used for generating recommendation information, and the recommendation information is used for recommending the capacity resources to the target capacity site.
With reference to the second aspect, in a1 st implementation manner of the second aspect, an embodiment of the present invention is that, in the target geographic range determining module, the determining, according to the target geographic coordinate, a target geographic range for matching the capacity resource with the capacity site includes:
determining a first map grid to which the target geographic coordinate belongs as the target geographic range;
the candidate site determination module is configured to determine a candidate capacity site bound to the target geographic range, and includes:
and determining candidate transportation capacity sites bound by the first map grid according to the binding relationship between the map grid and the transportation capacity sites.
With reference to the aspect 2, in a2 nd implementation manner of the aspect 2, in the embodiment of the present invention, the target information further includes a target distance; the target geographic range determination module is configured to determine a target geographic range for matching the capacity resource with the capacity site according to the target geographic coordinate, and includes:
determining an initial geographic range with the target geographic coordinate as a center and the target distance as a radius, and taking a second map grid corresponding to the initial geographic range as the target geographic range;
the candidate site determination module is configured to determine a candidate capacity site bound to the target geographic range, and includes:
and determining candidate transportation capacity sites bound by the second map grid according to the binding relationship between the map grid and the transportation capacity sites.
With reference to the aspect 2, in a3 rd implementation manner of the aspect 2, in the embodiment of the present invention, the target information further includes a target distance; the target geographic range determination module is configured to determine a target geographic range for matching the capacity resource with the capacity site according to the target geographic coordinate, and includes:
determining a first map grid to which the target geographic coordinate belongs;
if the first map grid is bound with a transportation site, determining that the first map grid is the target geographic range;
and if the first map grid is not bound with the transportation site, determining an initial geographical range taking the target geographical coordinate as the center and the target distance as the radius, and taking a second map grid corresponding to the initial geographical range as the target geographical range.
With reference to the 3 rd implementation manner of the aspect, in a4 th implementation manner of the aspect of the invention, an embodiment of the present invention provides that the candidate site determining module is configured to determine the candidate transportation capacity site bound to the target geographic range, and includes:
if the first map grid is determined to be the target geographic range, determining candidate transportation capacity sites bound by the first map grid;
and if the second map grid corresponding to the geographic range is taken as the target geographic range, determining the candidate transportation capacity site bound by the second map grid.
With reference to the 2 nd to 4 th implementation manners of the aspect 2, in a5 th implementation manner of the aspect 2, an embodiment of the present invention includes that the second map grid corresponding to the initial geographic range includes: a map grid within the initial geographic range, and a map grid intersecting the initial geographic range.
With reference to the aspect 2, in a6 th implementation manner of the aspect, in the embodiment of the present invention, the target site determining module is configured to determine, according to the capacity demand data of the candidate capacity sites, a target capacity site matching the capacity resource from the candidate capacity sites, and includes:
determining the transport capacity demand values of candidate transport capacity sites from the pre-recorded transport capacity demand values of the transport capacity sites, wherein the transport capacity demand values of the transport capacity sites and the transport capacity demands of the transport capacity sites are in a positive correlation;
and determining the transport capacity sites with the maximum transport capacity requirement value as target transport capacity sites.
With reference to the 6 th implementation manner of the 2 nd aspect, in a7 th implementation manner of the 2 nd aspect, the apparatus further includes:
and the updating module is used for updating the pre-recorded capacity demand value of each capacity site at regular time.
With reference to the 7 th implementation manner of the aspect 2, in an 8 th implementation manner of the aspect 2, in an embodiment of the present invention, the updating module is configured to update the pre-recorded capacity demand values of the capacity sites at regular time, and includes:
forecasting the transport capacity resource target quantity of the transport capacity site at regular time according to historical task data of the transport capacity site in a set historical time period;
determining a capacity demand value of the capacity site according to the predicted capacity resource target quantity of the capacity site and the current capacity resource quantity of the capacity site;
and updating the recorded capacity demand value of the capacity site according to the determined capacity demand value of the capacity site.
With reference to the 8 th implementation manner of the aspect 2, in a9 th implementation manner of the aspect 2, an embodiment of the present invention provides that the updating module is configured to predict the capacity resource target amount of the capacity site according to historical task data of the capacity site in a set historical time period at regular time, and includes:
determining the historical daily average task amount of the capacity site in a set historical time period according to the historical task data of the capacity site in the set historical time period;
and predicting the target quantity of the transportation capacity resources of the transportation capacity site according to the historical daily average task quantity, the estimated daily average task quantity increase of the transportation capacity site in a set time period in the future and the daily average completed task quantity of the transportation capacity resources of the transportation capacity site.
With reference to the aspect 2, in a 10 th implementation manner of the aspect 2, in the embodiment of the present invention, the target information obtaining module is configured to obtain target information of a capacity resource to be recommended, and includes:
and acquiring target information of the transportation capacity resources to be recommended from the transportation capacity resource set at regular time, wherein the transportation capacity resource set summarizes the target information of the transportation capacity resources collected by each information channel.
With reference to the 10 th implementation manner of the aspect 2, in an 11 th implementation manner of the aspect, the embodiment of the present invention further includes: target information for capacity resources whose history does not match a target capacity site, and/or target information for capacity resources whose history matches a target capacity site but whose recommended information processing times out and flows back to the capacity resource set.
With reference to the 10 th or 11 th implementation manner of the aspect 2, in a 12 th implementation manner of the aspect, the apparatus further includes:
and the deleting module is used for determining the target information of the transport capacity resource of the target transport capacity site which is not matched with the preset time length in the transport capacity resource set, and deleting the determined target information of the transport capacity resource from the transport capacity resource set.
In aspect 3, an embodiment of the present invention provides a server, including: at least one memory and at least one processor; the memory stores one or more computer-executable instructions that are invoked by the processor to perform the capacity resource recommendation method described above.
In an aspect 4, an embodiment of the present invention provides a storage medium, where the storage medium stores one or more computer-executable instructions, and the one or more computer-executable instructions are configured to perform the capacity resource recommendation method described above.

Claims (10)

1. A capacity resource recommendation method, comprising:
acquiring target information of a capacity resource to be recommended, wherein the target information at least comprises a target geographical coordinate of the capacity resource for a capacity site;
determining a target geographical range for matching the capacity resources with capacity sites according to the target geographical coordinates;
determining candidate transportation capacity sites bound by the target geographic range;
determining a target capacity site matched with the capacity resource from the candidate capacity sites according to the capacity demand data of the candidate capacity sites;
and generating recommendation information, wherein the recommendation information is used for recommending the capacity resources to the target capacity site.
2. The capacity resource recommendation method according to claim 1, wherein the target information further comprises a target distance; the determining the target geographic range for the capacity resource to match the capacity site according to the target geographic coordinates comprises:
determining a first map grid to which the target geographic coordinate belongs;
if the first map grid is bound with a transportation site, determining that the first map grid is the target geographic range;
and if the first map grid is not bound with the transportation site, determining an initial geographical range taking the target geographical coordinate as the center and the target distance as the radius, and taking a second map grid corresponding to the initial geographical range as the target geographical range.
3. The capacity resource recommendation method of claim 2, wherein said determining the candidate capacity sites for the target geographic scope binding comprises:
if the first map grid is determined to be the target geographic range, determining candidate transportation capacity sites bound by the first map grid;
and if the second map grid corresponding to the geographic range is taken as the target geographic range, determining the candidate transportation capacity site bound by the second map grid.
4. The capacity resource recommendation method according to any one of claims 2-3, wherein the second map grid corresponding to the initial geographical range comprises: a map grid within the initial geographic range, and a map grid intersecting the initial geographic range.
5. The capacity resource recommendation method according to claim 1, wherein the determining, from the candidate capacity sites, a target capacity site matching the capacity resource according to the capacity demand data of the candidate capacity sites comprises:
determining the transport capacity demand values of candidate transport capacity sites from the pre-recorded transport capacity demand values of the transport capacity sites, wherein the transport capacity demand values of the transport capacity sites and the transport capacity demands of the transport capacity sites are in a positive correlation;
and determining the transport capacity sites with the maximum transport capacity requirement value as target transport capacity sites.
6. The capacity resource recommendation method of claim 5, further comprising:
and updating the pre-recorded capacity demand value of each capacity site at regular time.
7. The capacity resource recommendation method according to claim 6, wherein the updating the pre-recorded capacity demand values of the capacity sites periodically comprises:
forecasting the transport capacity resource target quantity of the transport capacity site at regular time according to historical task data of the transport capacity site in a set historical time period;
determining a capacity demand value of the capacity site according to the predicted capacity resource target quantity of the capacity site and the current capacity resource quantity of the capacity site;
and updating the recorded capacity demand value of the capacity site according to the determined capacity demand value of the capacity site.
8. A capacity resource recommendation device, comprising:
the system comprises a target information acquisition module, a recommendation module and a recommendation module, wherein the target information acquisition module is used for acquiring target information of the transportation capacity resource to be recommended, and the target information at least comprises a target geographical coordinate of the transportation capacity resource aiming at a transportation capacity site;
the target geographic range determining module is used for determining a target geographic range for matching the transportation capacity resource with the transportation capacity site according to the target geographic coordinate;
the candidate site determination module is used for determining the candidate transportation capacity site bound to the target geographic range;
the target site determining module is used for determining a target capacity site matched with the capacity resource from the candidate capacity sites according to the capacity demand data of the candidate capacity sites;
and the recommendation information generation module is used for generating recommendation information, and the recommendation information is used for recommending the capacity resources to the target capacity site.
9. A server, comprising: at least one memory and at least one processor; the memory stores one or more computer-executable instructions that are invoked by the processor to perform the capacity resource recommendation method of any one of claims 1-7.
10. A storage medium storing one or more computer-executable instructions for performing the capacity resource recommendation method of any one of claims 1-7.
CN202010153106.0A 2020-03-06 2020-03-06 Method, device, server and storage medium for recommending capacity resources Active CN111324829B (en)

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