CN113850641A - Travel renting and selling fusion-based method, device, equipment and storage medium - Google Patents
Travel renting and selling fusion-based method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention provides a travel renting and selling fusion-based method, a travel renting and selling fusion-based device, equipment and a storage medium, wherein the travel renting and selling fusion-based method comprises the following steps: classifying the vehicles according to the set categories, and determining various vehicles, wherein each vehicle corresponds to various vehicles; determining the vehicle with the highest attention value as a display vehicle of the type of vehicle according to the attention value of each vehicle in the types of vehicles; providing display vehicles corresponding to various vehicles for a user to select, and obtaining the love value of the user to each display vehicle; determining the vehicle category corresponding to the display vehicle with the highest likeness value as the category required by the user; and providing the vehicles corresponding to the categories required by the user for the user to select. The vehicle selection method and the vehicle selection device can provide a suitable vehicle for a user to select according to the user requirement, and accuracy of selecting the suitable vehicle by the user is improved.
Description
Technical Field
The invention relates to the field of renting and selling fusion, in particular to a method, a device, equipment and a storage medium based on travel renting and selling fusion.
Background
In the daily trip process of people, often need rely on the trip instrument, the car is prepared with people's favor because of its convenience as common trip instrument. People mostly obtain the vehicle through renting or purchasing when needing to use the vehicle, most of the existing renting or purchasing modes are carried out through an automobile transaction platform, and users select the vehicles of the mood instrument to rent and sell or purchase according to own requirements on the automobile transaction platform.
However, at present, because the user has limited awareness of vehicles of different brands, models and the like, it is difficult to choose or not know which vehicle to fit for when selecting the vehicle, so that the target vehicle selected finally is not suitable for the user.
Therefore, a travel rental fusion-based method is urgently needed, a suitable vehicle can be provided for a user according to user requirements for selection by the user, and the accuracy of selecting the suitable vehicle by the user is improved.
Disclosure of Invention
An object of the embodiments herein is to provide a method, an apparatus, a device and a storage medium based on trip renting and selling fusion, so as to improve the accuracy of selecting a suitable vehicle by a user.
In order to achieve the above object, in one aspect, an embodiment herein provides a trip rental-sale fusion-based method, including:
classifying the vehicles according to the set categories, and determining various vehicles, wherein each vehicle corresponds to various vehicles;
determining the vehicle with the highest attention value as a display vehicle of the type of vehicle according to the attention value of each vehicle in the types of vehicles;
providing display vehicles corresponding to various vehicles for a user to select, and obtaining the love value of the user to each display vehicle;
determining the vehicle category corresponding to the display vehicle with the highest likeness value as the category required by the user;
and providing the vehicles corresponding to the categories required by the user for the user to select.
Preferably, the method for determining the attention value of each vehicle in the vehicles comprises the following steps:
obtaining the renting and selling records of each vehicle in various vehicle pairs in the vehicle renting and selling database;
determining the renting and selling times, the viewing times and the favorable evaluation times of each vehicle according to the renting and selling records;
and determining the attention value of each vehicle according to the renting and selling times, the checking times and the favorable times of each vehicle.
Preferably, the determining the attention value of each vehicle according to the number of renting and selling, the number of viewing and the number of good comments of each vehicle includes:
summing the renting and selling times, the checking times and the favorable times of each vehicle to obtain an initial value of each vehicle;
judging whether the initial values of any of the vehicles are consistent;
if the values are consistent, the initial value of the corresponding vehicle is added with the renting and selling times to obtain the attention value of the corresponding vehicle;
if not, the initial values of the various vehicles are determined as their corresponding attention values.
Preferably, the setting categories include:
the brand of the vehicle, and/or the type of the vehicle, and/or the price interval of the vehicle.
Preferably, the step of providing the display vehicles corresponding to the various types of vehicles for the user to select to obtain the likeness value of the user to each display vehicle includes:
providing display vehicles corresponding to various vehicles for a user to select, and acquiring the viewing times and the viewing duration of the user for each display vehicle;
and determining the user preference value of each display vehicle according to the viewing times and the viewing duration of each display vehicle, the set times proportion and the set duration proportion.
Preferably, the determining the user's likeness value for each display vehicle according to the number of viewing times and the viewing duration of each display vehicle, and the specific gravity of the set number of viewing times and the specific gravity of the set duration, includes:
determining the user's likeness value for each displayed vehicle by the following formula:
A=α×M+β×N;
wherein, A is the love value, alpha is the proportion of the set times, beta is the proportion of the set duration, M is the viewing times, and N is the viewing duration.
Preferably, the providing the vehicle corresponding to the category required by the user for the user to select includes:
sorting the vehicles corresponding to the categories required by the user according to the selected sequence;
and providing the vehicles corresponding to the categories required by the user for the user to select according to the sequence.
In another aspect, an embodiment herein provides a device based on trip renting and selling fusion, the device including:
a vehicle classification module: classifying the vehicles according to the set categories, and determining various vehicles, wherein each vehicle corresponds to various vehicles;
a display vehicle determination module: determining the vehicle with the highest attention value as a display vehicle of the type of vehicle according to the attention value of each vehicle in the types of vehicles;
a likeness value determination module: providing display vehicles corresponding to various vehicles for a user to select, and obtaining the love value of the user to each display vehicle;
a user required category determination module: determining the vehicle category corresponding to the display vehicle with the highest likeness value as the category required by the user;
providing a module: and providing the vehicles corresponding to the categories required by the user for the user to select.
In yet another aspect, embodiments herein also provide a computer device comprising a memory, a processor, and a computer program stored on the memory, the computer program, when executed by the processor, performing the instructions of any one of the methods described above.
In yet another aspect, embodiments herein also provide a computer-readable storage medium having stored thereon a computer program, which when executed by a processor of a computer device, performs the instructions of any one of the methods described above.
According to the technical scheme provided by the embodiment, the vehicle is finely classified, the pertinence of a user in vehicle selection is improved, all representative display vehicles can be provided for the user to select as much as possible after fine classification, the user can represent the actual will of the user through the browsing times and the browsing duration when browsing according to the preference and the idea of the user, the display vehicle with the highest user liking degree can be further determined according to mining of the actual will of the user, the corresponding vehicle is displayed in a centralized mode, the user is further selected, and the accuracy of selecting the appropriate vehicle by the user is improved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart illustrating a method based on travel renting and selling integration provided in an embodiment of the present disclosure;
FIG. 2 illustrates a schematic diagram of a method of determining a value of attention for each of a variety of vehicles provided by embodiments herein;
FIG. 3 illustrates a schematic diagram of a method of determining a value of attention for each vehicle provided by embodiments herein;
FIG. 4 is a schematic diagram illustrating a method for determining a user's likeness value for each of the exhibited vehicles provided by embodiments herein;
FIG. 5 is a schematic diagram illustrating a method for providing vehicles corresponding to a category desired by a user for selection by the user according to an embodiment of the disclosure;
fig. 6 is a schematic block diagram illustrating a device based on travel renting and selling fusion according to an embodiment of the present disclosure;
fig. 7 shows a schematic structural diagram of a computer device provided in an embodiment herein.
Description of the symbols of the drawings:
100. a vehicle classification module;
200. displaying the vehicle determination module;
300. a likeness value determination module;
400. a user required category determining module;
500. providing module
702. A computer device;
704. a processor;
706. a memory;
708. a drive mechanism;
710. an input/output module;
712. an input device;
714. an output device;
716. a presentation device;
718. a graphical user interface;
720. a network interface;
722. a communication link;
724. a communication bus.
Detailed Description
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 herein without making any creative effort, shall fall within the scope of protection.
In the daily trip process of people, often need rely on the trip instrument, the car is prepared with people's favor because of its convenience as common trip instrument. People mostly obtain the vehicle through renting or purchasing when needing to use the vehicle, most of the existing renting or purchasing modes are carried out through an automobile transaction platform, and users select the vehicles of the mood instrument to rent and sell or purchase according to own requirements on the automobile transaction platform.
However, because the user has limited awareness of vehicles of different brands, models, etc., it is often difficult to choose or not know which vehicle they are suitable for, resulting in the target vehicle that is finally selected not being suitable for themselves.
In order to solve the above problem, the embodiments herein provide a method based on trip renting and selling fusion. Fig. 1 is a schematic diagram of steps of a travel rental-sale fusion-based method provided in an embodiment herein, and the present specification provides the method operation steps as described in the embodiment or a flowchart, but more or less operation steps can be included based on conventional or non-creative labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual system or apparatus product executes, it can execute sequentially or in parallel according to the method shown in the embodiment or the figures.
Referring to fig. 1, a trip renting and selling fusion-based method includes:
s101: classifying the vehicles according to the set categories, and determining various vehicles, wherein each vehicle corresponds to various vehicles;
s102: determining the vehicle with the highest attention value as a display vehicle of the type of vehicle according to the attention value of each vehicle in the types of vehicles;
s103: providing display vehicles corresponding to various vehicles for a user to select, and obtaining the love value of the user to each display vehicle;
s104: determining the vehicle category corresponding to the display vehicle with the highest likeness value as the category required by the user;
s105: and providing the vehicles corresponding to the categories required by the user for the user to select.
The set categories comprise vehicle brands, vehicle types and/or price intervals of vehicles. Specifically, the vehicles may be classified according to their brand, and the vehicles of the same brand may be classified into the same category, or may be classified according to their type, such as cars, sports cars, vans, off-road vehicles, or other vehicles, or may be classified into 10 ten thousand yuan or less, 10 to 20 ten thousand yuan, 20 to 30 ten thousand yuan, 30 to 50 ten thousand yuan, 50 to 100 ten thousand yuan, and 100 ten thousand yuan or more according to their price ranges. Of course, the vehicle can be further divided according to the vehicle type and the price zone of the vehicle on the basis of the vehicle brand classification, various vehicles are finally obtained, and the specific set category can be determined through user selection.
After determining the vehicle classification, a representative vehicle for each vehicle type may be further determined, and a vehicle for display may be further determined, the vehicle for display being one that is most representative of the vehicle type corresponding to the vehicle type. The display vehicles corresponding to various vehicles are provided for the user to select, the user can browse, comment, collect and the like on the display vehicles during selection, according to the operations of the user, the likeness value of the user on each display vehicle can be obtained, the vehicle category corresponding to the display vehicle with the highest likeness value can be identified as the category required by the user, and further, the vehicle corresponding to the category required by the user can be provided for the user to select.
According to the method, the pertinence of a user in vehicle selection is improved according to fine classification of vehicles, all representative display vehicles can be provided for the user to select as much as possible after the fine classification, the user can represent the actual will of the user through browsing times and browsing duration when browsing according to own preference and idea, the display vehicle with the highest user liking degree can be further determined according to mining of the actual will of the user, the corresponding vehicles are displayed in a concentrated mode, the user is further selected, and the accuracy of selecting the proper vehicle by the user is improved.
Referring to fig. 2, in this embodiment, the method for determining the attention value of each vehicle in the vehicles in the category includes:
s201: obtaining the renting and selling records of each vehicle in various vehicle pairs in the vehicle renting and selling database;
s202: determining the renting and selling times, the viewing times and the favorable evaluation times of each vehicle according to the renting and selling records;
s203: and determining the attention value of each vehicle according to the renting and selling times, the checking times and the favorable times of each vehicle.
The vehicle renting and selling database comprises a vehicle renting and selling table, records of vehicle renting and selling are recorded in the vehicle renting table according to time, and for example, a vehicle of 10 months and 1 day in 2021 is rented for 5 times, sold for 1 time, clicked by a user to view for 1000 times, and scored for 2 times by the user. According to the leasing condition of the vehicle, the leasing times, the selling times, the checking times and the commenting times of the vehicle can be determined, and the leasing times and the selling times of the vehicle are summed to obtain the leasing times of the vehicle.
Referring to fig. 3, further, the determining the attention value of each vehicle according to the number of rentals and sales, the number of views and the number of good comments of each vehicle includes:
s301: summing the renting and selling times, the checking times and the favorable times of each vehicle to obtain an initial value of each vehicle;
s302: judging whether the initial values of any of the vehicles are consistent;
s303: if the values are consistent, the initial value of the corresponding vehicle is added with the renting and selling times to obtain the attention value of the corresponding vehicle;
s304: if not, the initial values of the various vehicles are determined as their corresponding attention values.
According to the data, the renting and selling conditions of the day are on the day of 10 months and 1 in 2021, when the renting and selling times, the checking times and the favorable evaluation times of each vehicle are summed, the renting and selling conditions of the vehicles on any day in the vehicle renting and selling table can be obtained, the renting and selling conditions of the vehicles on multiple days can be randomly obtained, and the specific taking method is not limited in the text.
For example, only the rental and sale condition on the day of 10/1/2021 is taken, the initial value of the a-type vehicle is 5+1+1000+2 which is 1008, the B-type vehicle is assumed to be rented 9 times and sold 0 times on 1/10/2021, the a-type vehicle is clicked by the user to check 999 times and rated 0 times, the initial value of the C-type vehicle is 9+0+999+0 which is 1008, the C-type vehicle is assumed to be rented 0 times and sold 0 times on 1/10/2021, the user clicks to check 1004 times and rated 0 times, the initial value of the C is 0+0+1004+ 0+1004, the initial values of the a-type vehicle and the B-type vehicle are identical, the initial value of the C-type vehicle is different from those of the a-type vehicle and the B-type vehicle, and when these three A, B, C-type vehicles appear, the initial value of the a-type vehicle and the rental number of the C-type vehicle are added: 1008+5+1 is 1014, 1014 is the attention value of a, and the initial value of B is added to the number of rents and sales: the 1008+9+0 is 1017,1017, which is the attention value of B, and the initial value 1004 of C is the attention value of C.
Referring to fig. 4, in this embodiment, the providing, to the user, display vehicles corresponding to various types of vehicles for selection to obtain a user preference value for each display vehicle includes:
s401: providing display vehicles corresponding to various vehicles for a user to select, and acquiring the viewing times and the viewing duration of the user for each display vehicle;
s402: and determining the user preference value of each display vehicle according to the viewing times and the viewing duration of each display vehicle, the set times proportion and the set duration proportion.
Since the viewing times and the viewing duration can represent the orientation and attitude of the user to the display vehicle, the user's preference value of the display vehicle is determined through the viewing times and the viewing duration.
Specifically, the determining the user's likeness value for each display vehicle according to the number of viewing times and the viewing duration of each display vehicle, and the specific gravity of the set number of viewing times and the specific gravity of the set duration, includes:
determining the user's likeness value for each displayed vehicle by the following formula:
A=α×M+β×N;
wherein, A is the love value, alpha is the proportion of the set times, beta is the proportion of the set duration, M is the viewing times, and N is the viewing duration.
Specifically, the sum of the set time proportion and the set time length proportion is 100%, the set time proportion and the set time length proportion can be set according to actual requirements, and can be respectively 50%, the set time proportion can be greater than the set time length proportion, and the set time length proportion can be greater than the set time proportion.
For example, if the number of views of the H-show vehicle by the user is 5 times and the total viewing time is 3 minutes, the setting number of times specific gravity is 60% and the setting time length specific gravity is 40%, the likeness value of the H-show vehicle is 5 × 60% +3 × 40% — 4.4.
Referring to fig. 5, in this embodiment, the providing vehicles corresponding to the user-desired category for the user selection includes:
s501: sorting the vehicles corresponding to the categories required by the user according to the selected sequence;
s502: and providing the vehicles corresponding to the categories required by the user for the user to select according to the sequence.
The selected order may be set according to actual conditions, and assuming that the classification of the vehicles according to the set categories is classified according to vehicle brands, the selected order may be set to be sorted from low to high in vehicle prices, or may be sorted according to vehicle types, and the vehicles may be provided to the user in the order of cars, sports cars, vans, off-road vehicles, or other vehicles.
Of course, when the category is the price zone where the vehicle is located, the vehicles may be sorted according to the brand of the vehicle or the type of the vehicle, and when the category is the type of the vehicle, the vehicles may be sorted according to the brand of the vehicle or the price of the vehicle.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Based on the method for the trip renting and selling fusion, the embodiment also provides a device for the trip renting and selling fusion. The apparatus may include systems (including distributed systems), software (applications), modules, components, servers, clients, etc. that employ the methods described herein in embodiments, in conjunction with any necessary apparatus to implement the hardware. Based on the same innovative concepts, embodiments herein provide an apparatus as described in the following embodiments. Since the implementation scheme of the apparatus for solving the problem is similar to that of the method, the specific apparatus implementation in the embodiment of the present disclosure may refer to the implementation of the foregoing method, and repeated details are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Specifically, fig. 6 is a schematic block structure diagram of an embodiment of an apparatus for trip renting and selling based on a trip renting and selling fusion, which is provided in the embodiment of the present disclosure, and referring to fig. 6, the apparatus for trip renting and selling based on a trip renting and selling fusion provided in the embodiment of the present disclosure includes: the vehicle classification module 100, the display vehicle determination module 200, the likeness value determination module 300, the user desired category determination module 400, and the provision module 500.
The vehicle classification module 100: classifying the vehicles according to the set categories, and determining various vehicles, wherein each vehicle corresponds to various vehicles;
the display vehicle determination module 200: determining the vehicle with the highest attention value as a display vehicle of the type of vehicle according to the attention value of each vehicle in the types of vehicles;
the likeness value determination module 300: providing display vehicles corresponding to various vehicles for a user to select, and obtaining the love value of the user to each display vehicle;
user desired category determination module 400: determining the vehicle category corresponding to the display vehicle with the highest likeness value as the category required by the user;
the providing module 500: and providing the vehicles corresponding to the categories required by the user for the user to select.
Referring to fig. 7, in an embodiment of the present disclosure, a computer device 702 is further provided based on the above-mentioned method for travel renting and selling based on a combination, wherein the above-mentioned method is executed on the computer device 702. Computer device 702 may include one or more processors 704, such as one or more Central Processing Units (CPUs) or Graphics Processors (GPUs), each of which may implement one or more hardware threads. The computer device 702 may also include any memory 706 for storing any kind of information, such as code, settings, data, etc., and in a particular embodiment, a computer program on the memory 706 and executable on the processor 704, which computer program when executed by the processor 704 may perform instructions according to the above-described method. For example, and without limitation, the memory 706 can include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any memory may use any technology to store information. Further, any memory may provide volatile or non-volatile retention of information. Further, any memory may represent fixed or removable components of computer device 702. In one case, when the processor 704 executes associated instructions that are stored in any memory or combination of memories, the computer device 702 can perform any of the operations of the associated instructions. The computer device 702 also includes one or more drive mechanisms 708, such as a hard disk drive mechanism, an optical disk drive mechanism, or the like, for interacting with any memory.
Communication link 722 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the Internet), a point-to-point connection, etc., or any combination thereof. Communication link 722 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc., governed by any protocol or combination of protocols.
Corresponding to the methods in fig. 1-5, the embodiments herein also provide a computer-readable storage medium having stored thereon a computer program, which, when executed by a processor, performs the steps of the above-described method.
Embodiments herein also provide computer readable instructions, wherein when executed by a processor, a program thereof causes the processor to perform the method as shown in fig. 1-5.
It should be understood that, in various embodiments herein, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments herein.
It should also be understood that, in the embodiments herein, the term "and/or" is only one kind of association relation describing an associated object, meaning that three kinds of relations may exist. For example, a and/or B, may represent: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided herein, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments herein.
In addition, functional units in the embodiments herein may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present invention may be implemented in a form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The principles and embodiments of this document are explained herein using specific examples, which are presented only to aid in understanding the methods and their core concepts; meanwhile, for the general technical personnel in the field, according to the idea of this document, there may be changes in the concrete implementation and the application scope, in summary, this description should not be understood as the limitation of this document.
Claims (10)
1. A trip renting and selling fusion-based method is characterized by comprising the following steps:
classifying the vehicles according to the set categories, and determining various vehicles, wherein each vehicle corresponds to various vehicles;
determining the vehicle with the highest attention value as a display vehicle of the type of vehicle according to the attention value of each vehicle in the types of vehicles;
providing display vehicles corresponding to various vehicles for a user to select, and obtaining the love value of the user to each display vehicle;
determining the vehicle category corresponding to the display vehicle with the highest likeness value as the category required by the user;
and providing the vehicles corresponding to the categories required by the user for the user to select.
2. A travel rental-sale fusion-based method according to claim 1, wherein the method for determining the attention value of each vehicle in the vehicles comprises:
obtaining the renting and selling records of each vehicle in various vehicle pairs in the vehicle renting and selling database;
determining the renting and selling times, the viewing times and the favorable evaluation times of each vehicle according to the renting and selling records;
and determining the attention value of each vehicle according to the renting and selling times, the checking times and the favorable times of each vehicle.
3. A travel rental-sale fusion-based method according to claim 2, wherein the determining of the attention value of each vehicle according to the number of rents, the number of views and the number of good comments of each vehicle comprises:
summing the renting and selling times, the checking times and the favorable times of each vehicle to obtain an initial value of each vehicle;
judging whether the initial values of any of the vehicles are consistent;
if the values are consistent, the initial value of the corresponding vehicle is added with the renting and selling times to obtain the attention value of the corresponding vehicle;
if not, the initial values of the various vehicles are determined as their corresponding attention values.
4. A travel rental-sale-based fusion method according to claim 1, wherein the set categories include:
the brand of the vehicle, and/or the type of the vehicle, and/or the price interval of the vehicle.
5. A travel renting and selling fusion-based method according to claim 1, wherein the step of providing the display vehicles corresponding to various types of vehicles for the user to select to obtain the user's likeability value for each display vehicle comprises:
providing display vehicles corresponding to various vehicles for a user to select, and acquiring the viewing times and the viewing duration of the user for each display vehicle;
and determining the user preference value of each display vehicle according to the viewing times and the viewing duration of each display vehicle, the set times proportion and the set duration proportion.
6. A travel rental-sale fusion-based method according to claim 5, wherein the determining of the user's likeability value for each display vehicle according to the viewing times and the viewing duration of each display vehicle, and the specific gravity of the set times and the specific gravity of the set duration comprises:
determining the user's likeness value for each displayed vehicle by the following formula:
A=α×M+β×N;
wherein, A is the love value, alpha is the proportion of the set times, beta is the proportion of the set duration, M is the viewing times, and N is the viewing duration.
7. A travel rental-sale fusion-based method according to claim 1, wherein the step of providing vehicles corresponding to the categories required by the users for selection comprises:
sorting the vehicles corresponding to the categories required by the user according to the selected sequence;
and providing the vehicles corresponding to the categories required by the user for the user to select according to the sequence.
8. An apparatus based on trip renting and selling fusion, characterized in that the apparatus comprises:
a vehicle classification module: classifying the vehicles according to the set categories, and determining various vehicles, wherein each vehicle corresponds to various vehicles;
a display vehicle determination module: determining the vehicle with the highest attention value as a display vehicle of the type of vehicle according to the attention value of each vehicle in the types of vehicles;
a likeness value determination module: providing display vehicles corresponding to various vehicles for a user to select, and obtaining the love value of the user to each display vehicle;
a user required category determination module: determining the vehicle category corresponding to the display vehicle with the highest likeness value as the category required by the user;
providing a module: and providing the vehicles corresponding to the categories required by the user for the user to select.
9. A computer device comprising a memory, a processor, and a computer program stored on the memory, wherein the computer program, when executed by the processor, performs the instructions of the method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor of a computer device, is adapted to carry out the instructions of the method according to any one of claims 1-7.
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