CN111798256A - Method for determining fare, method, device and system for acquiring data - Google Patents

Method for determining fare, method, device and system for acquiring data Download PDF

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CN111798256A
CN111798256A CN201910277418.XA CN201910277418A CN111798256A CN 111798256 A CN111798256 A CN 111798256A CN 201910277418 A CN201910277418 A CN 201910277418A CN 111798256 A CN111798256 A CN 111798256A
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fare
market
market segment
data
historical data
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严岭
钊魁
章琦
王超
杨程
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Alibaba Group Holding Ltd
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    • G06Q30/00—Commerce
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination

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Abstract

The invention discloses a method for determining a fare, a method, a device and a system for acquiring data. Wherein, the method comprises the following steps: calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market subdivision; a fare for each market segment is determined based at least on the total budget and the relationship. The method solves the technical problem of low calculation accuracy caused by too much manual intervention for pricing the fare in the prior art.

Description

Method for determining fare, method, device and system for acquiring data
Technical Field
The invention relates to the technical field of internet, in particular to a method for determining a fare, a method, a device and a system for acquiring data.
Background
In order to seize market share, the ticketing platform gives a part of capital budget every year to perform ticketing subsidy, the price of a competitor, the current share condition and the subsidy overhead condition are completely observed in real time in the former mode to dynamically adjust the subsidy price, the number of subsidies needs a lot of manual intervention, and the granularity of the intervention is coarse.
Wherein, the price of the opponent is monitored and tracked in real time according to competition, and is lower than the competitive price comprehensively. But needs a lot of capital investment and cannot guarantee that the overall business effect (market share) is optimal within a limited budget range.
Aiming at the problem of low calculation precision caused by too much manual intervention for the pricing mode of the fare in the prior art, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a method for determining a fare, a method, a device and a system for acquiring data, which are used for at least solving the technical problem of low calculation precision caused by too much manual intervention required for a fare pricing mode in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a method of determining a fare, including: calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market subdivision; a fare for each market segment is determined based at least on the total budget and the relationship.
Optionally, the method further includes: acquiring cinema information and historical data; wherein, cinema information includes: the theater geographic location, film type, and show time period; the historical data includes: historical prices, historical competitive prices for box office data.
Optionally, the calculating according to the acquired cinema information and historical data to obtain the relationship between the fare and the sales volume of each market segment includes: market segmentation is carried out according to the geographic position of the cinema, the type of the film and the showing time period to obtain at least one segment market; predicting at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment; wherein, predetermine the model and include: a moving average method and a polynomial logic model.
Further, optionally, the method further includes: selecting corresponding subsidy money for each market segment from a preset discrete subsidy money point set; the expected box-office of each market segment is obtained according to the subsidy amount.
Optionally, determining the fare for each market segment based at least on the total budget and the relationship comprises: obtaining an expected box office of each market segment according to the relation; and calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment.
Optionally, the method further includes: sending the ticket price of each market segment to an online system for sale to obtain sale data; the sales data is stored as historical data so that the historical data is dynamically updated.
According to another aspect of the embodiments of the present invention, there is also provided a data acquisition method, including: market segmentation is carried out according to yard information to obtain at least one segment market; predicting at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment; obtaining an expected box office of each market segment according to the relation; calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment; sending the ticket price of each market segment to an online system for sale to obtain sale data; the sales data is stored as historical data so that the historical data is dynamically updated.
There is also provided, in accordance with yet another aspect of an embodiment of the present invention, apparatus for determining a fare, including: the calculation module is used for calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market segment; and the pricing module is used for determining the fare of each market segment at least according to the total budget and the relation.
According to another aspect of the embodiments of the present invention, there is also provided a data acquisition apparatus, including: the first acquisition module is used for market subdivision according to yard line information to obtain at least one market subdivision; the prediction module is used for predicting at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment; the second acquisition module is used for acquiring the expected box rooms of each market segment according to the relationship; the calculating module is used for calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment; the sending module is used for sending the ticket price of each market segment to an online system for sale to obtain sale data; and the storage module is used for storing the sales data as historical data so as to dynamically update the historical data.
There is also provided, in accordance with an aspect of another embodiment of the present invention, a system for determining a fare, including: the system comprises an online subsystem and a data learning subsystem, wherein the data learning subsystem is used for market segmentation according to yard information to obtain at least one segment market; predicting at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment; obtaining an expected box office of each market segment according to the relation; calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment; the online system is used for sending the ticket price of each market segment to the online system for sale to obtain sale data; the sales data is stored as historical data so that the historical data is dynamically updated.
According to another aspect of another embodiment of the present invention, there is also provided a storage medium including a stored program, wherein when the program is executed, an apparatus in which the storage medium is controlled to perform the above method.
According to another aspect of another embodiment of the present invention, there is also provided a processor for executing a program, where the program executes to perform the above method.
In the embodiment of the invention, the relation between the fare and the sales volume of each market segment is obtained by calculating according to the acquired cinema information and historical data; the fare of each market segment is determined at least according to the total budget and the relation, so that the aim of reducing the total budget is fulfilled, the technical effect of improving the calculation accuracy of fare pricing is achieved, and the technical problem of low calculation accuracy caused by too much manual intervention in the fare pricing mode in the prior art is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a block diagram of a hardware configuration of a computer terminal of a method of determining a fare according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of determining a fare according to a first embodiment of the invention;
FIG. 3 is a flow chart of a method of determining a fare according to a first embodiment of the invention;
FIG. 4 is a flow chart of a method of data acquisition according to a second embodiment of the invention;
fig. 5 is a schematic view of an apparatus for determining a fare according to a third embodiment of the present invention;
fig. 6 is a schematic diagram of a data acquisition apparatus according to a fourth embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical terms related to the present application are:
market segmentation: the whole product market is divided into independent modules according to time, regions and commodities, for example, the commodity market consumed by users is divided into N independent modules according to the shadow city of each region, each type of film and each showing time period (golden field and common field).
Price reaction model: for different markets, after changing prices, sales or market share changes with price. Market for oligopeptides: there are several huge monopoly markets, such as the movie ticketing platform in China, and the main shortages are the panning tickets and cat eyes.
Market share: the total amount of tickets on a certain platform occupies the share of the market occupied by the platform, and the proportion of all the tickets in the whole market is occupied by the platform.
Example 1
There is also provided, in accordance with an embodiment of the present invention, a method embodiment of a method of determining a fare, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
The method provided by the first embodiment of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the example of running on a computer terminal, fig. 1 is a hardware structure block diagram of a computer terminal of a method for determining a fare according to an embodiment of the present invention. As shown in fig. 1, the computer terminal 10 may include one or more (only one shown) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store software programs and modules of application software, such as program instructions/modules corresponding to the method for determining a fare in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 104, that is, implementing the method for determining a fare of the application program. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission module 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission module 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission module 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
In the above operating environment, the present application provides a method of determining a fare as shown in fig. 2. Fig. 2 is a flowchart of a method of determining a fare according to a first embodiment of the invention.
Step S202, calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market subdivision;
in the above step S202 of the present application, the method for determining a fare provided in the embodiment of the present application may be applicable to movie fare estimation scenes, and may also be applicable to various performance fare estimation scenes.
In the existing process of determining the ticket price, the prior art dynamically adjusts the price of subsidies and the number of the subsidies by observing the price of a competitor, the current share condition and the subsidy overhead condition in real time, and needs a lot of manual intervention so that the fund budget of the ticket subsidy cannot be accurately matched with the market demand;
in the embodiment of the present invention, the pricing of movie tickets is taken as an example, wherein in the embodiment of the present invention, the market is subdivided according to the geographic location of the cinema (national region, city center/suburb), the type of the movie (love photo, action photo, horror photo, science fiction photo), and the showing time period (weekend working day, gold common file), and the whole market is divided into N independent market segments. According to historical data, a price and sales relationship (what sales will be brought when different prices are selected) of each market segment in the future day is predicted by using a moving average method and a polynomial logic (MNL) model.
Wherein, cinema's information in this application embodiment includes: the theater geographic location, film type, and show time period; the historical data includes: historical prices, historical competitive prices for the box office data; the competitive price here is the historical competitor price of the box office data.
For example, the national area is divided into northeast, china, south, north, south, north and west, and then the line level of each city is divided in each area according to the regional division, for example, the wide and deep north is the first line, the other province cities are the second line, the city level city is the third line, the county city or district is the fourth line, and the like, according to the city where the movie theater is located, the movie type shown in the movie theater is shown, the time period shown is divided into market divisions to obtain each market segment;
in the case where each market segment is obtained, the relationship between the price and sales of each market segment for the future day is predicted using the moving average method and the MNL model based on the historical data, i.e., the historical price of each theater and the competitive price of the box office history.
It should be noted that, the algorithm and the calculation model in the embodiment of the present application are only examples of the above examples, and are not limited to the specific implementation of the method for determining the fare provided in the embodiment of the present application.
Step S204, determining the fare of each market segment according to at least the total budget and the relationship.
In the above step S204 of the present application, based on the relationship between the fare and the sales volume of each market segment obtained in step S202, the fare of the movie ticket selected in each market segment is calculated from the total budget, wherein it should be noted that each market segment is divided from the K discrete subsidy amount point sets [ p1, …, pK ]]One of the candidate subsidy prices is selected to take effect, the expected box-office corresponding to the subsidy price selected by each market segment is obtained and recorded as fijWherein f isijThe box office which is expected to be brought when the jth subsidy price is selected in the ith market segment;
after obtaining the expected box-office corresponding to the subsidy price selected by each market segment, calculating the box-office price of each market segment according to an optimization target, wherein the optimization target comprises the following steps: max Σ fij*xijWhere xijThe ith market is represented to select the jth price, namely, the fare of each market can be obtained according to the optimization target;
specifically, calculating the fare of each market segment to satisfy each constraint condition, and then obtaining xij(ii) a Wherein each constraint is as follows:
condition 1: the total budget of the pricing subsidy meets the requirements: sigma fij*xij*pij≤B；
Condition 2: each market segment subsidy selects 1 from k amounts: sigmajxij＝1for all i；
Condition 3: the optimization variables are integers: x is the number ofij∈{0,1}；
Wherein B is the total budget, pijSet of discrete subsidy points [ p1, …, pK]One subsidy amount.
In summary, fig. 3 is a flowchart of a method for determining a fare according to an embodiment of the present invention, and as shown in fig. 3, the method for determining a fare provided in the embodiment of the present application specifically includes the following steps:
market is subdivided according to geographical position, film type, showing time and the like, price-sales relation modeling is carried out on each subdivided market according to historical data, box-office of each subdivided market is predicted under different prices in the future, and then the optimal solution of pricing of each subdivided market, namely subsidy unit price, is given under the condition that the total budget constraint condition is met;
as shown in fig. 3, after obtaining the subsidy unit price, applying the subsidy unit price to the online ticketing system, performing online sales, performing further learning based on the sales result as historical data, i.e. continuing to execute step S202 and step S204, continuously optimizing the subsidy unit price through continuous learning, further implementing accurate control of the total budget, so as to avoid resource waste caused by artificial subjective participation, and performing verification and correction on data delivered by actual market data through actual market feedback, so that the per-field movie ticket price pricing better meets the competitive demand of the same market.
In the embodiment of the invention, the relation between the fare and the sales volume of each market segment is obtained by calculating according to the acquired cinema information and historical data; the fare of each market segment is determined according to the total budget and the relation, the purpose of reducing the total budget is achieved, the technical effect of improving the calculation accuracy of the fare pricing is achieved, and the technical problem that in the prior art, too much manual intervention is needed in the fare pricing mode, so that the calculation accuracy is low is solved.
Optionally, the method for determining a fare provided in an embodiment of the present application further includes:
step S201, acquiring cinema information and historical data before calculation according to the acquired cinema information and the historical data; wherein, cinema information includes: the theater geographic location, film type, and show time period; the historical data includes: historical prices, historical competitive prices for box office data.
Wherein the competitive price is the price of a competitor in the history of the box office data.
Specifically, the cinema information and the historical data are acquired for different cities and different scenes of different pricing of the same film according to different regions and consumption capacities, so that the same film can obtain greater benefits in different cities, and the low box office phenomenon caused by the fact that the falsely high ticket prices are shown on the cinema of the low-consumption city is avoided, and the limited film arrangement resources of the cinema are wasted.
Optionally, the step S202 of calculating according to the acquired cinema information and historical data to obtain the relationship between the fare and the sales volume of each market segment includes:
step S2021, market segmentation is carried out according to the geographic position of the cinema, the type of the film and the showing time period to obtain at least one segment market;
step S2022, predicting at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment; wherein, predetermine the model and include: a moving average method and a polynomial logic model.
Further, optionally, the method for determining a fare provided in the embodiment of the present application further includes:
step S2023, selecting corresponding subsidy amount for each market segment from the preset discrete subsidy amount point set;
step S2024, obtain the expected box office of each market segment according to the subsidy amount.
Specifically, in the embodiment of the present application, in combination with steps S2021 to S2024, the market is subdivided according to the geographic location of the cinema (national area, city center/suburb), the type of the movie (scene, action, horror, science fiction), and the time period of the showing (weekend working day, gold common file), and the entire market is divided into N independent market segments. Based on historical data, a moving average method and a polynomial logic (MNL) model are used to predict the price-sales relationship (what sales will be when different prices are selected) of each market segment for the next day.
Wherein, cinema's information in this application embodiment includes: the theater geographic location, film type, and show time period; the historical data includes: historical prices, historical competitive prices for the box office data; the competitive price here is the historical competitor price of the box office data.
For example, the national area is divided into northeast, china, south, north, south, north and west, and then the line level of each city is divided in each area according to the regional division, for example, the wide and deep north is the first line, the other province cities are the second line, the city level city is the third line, the county city or district is the fourth line, and the like, according to the city where the movie theater is located, the movie type shown in the movie theater is shown, the time period shown is divided into market divisions to obtain each market segment;
in the case where each market segment is obtained, the relationship between the price and sales of each market segment for the future day is predicted using the moving average method and the MNL model based on the historical data, i.e., the historical price of each theater and the competitive price of the box office history.
It should be noted that, the algorithm and the calculation model in the embodiment of the present application are only examples of the above examples, and are not limited to the specific implementation of the method for determining the fare provided in the embodiment of the present application.
Optionally, the determining the fare for each market segment at step S204 according to at least the total budget and the relationship includes:
step S2041, obtaining an expected box office of each market segment according to the relationship;
and step S2042, calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment.
Specifically, in conjunction with steps S2041 and S2042, each market segment is populated from a set of K discrete subsidy amount points [ p1, …, pK [ ]]One of the candidate subsidy prices is selected to take effect, the expected box-office corresponding to the subsidy price selected by each market segment is obtained and recorded as fijWherein f isijIndicating the ith market segment selectionWhen the price is subsidized, the box office is expected to be brought;
after obtaining the expected box-office corresponding to the subsidy price selected by each market segment, calculating the box-office price of each market segment according to an optimization target, wherein the optimization target comprises the following steps: max Σ fij*xijWhere xijThe ith market is represented to select the jth price, namely, the fare of each market can be obtained according to the optimization target;
specifically, calculating the fare of each market segment to satisfy each constraint condition, and then obtaining xij(ii) a Wherein each constraint is as follows:
condition 1: the total budget of the pricing subsidy meets the requirements: sigma fij*xij*pij≤B；
Condition 2: each market segment subsidy selects 1 from k amounts: sigmajxij＝1for all i；
Condition 3: the optimization variables are integers: x is the number ofij∈{0,1}；
Wherein B is the total budget, pijSet of discrete subsidy points [ p1, …, pK]One subsidy amount.
Optionally, the method for determining a fare provided in an embodiment of the present application further includes:
step S205, sending the ticket price of each market segment to an online system for sale to obtain sale data;
in step S206, the sales data is stored as history data so that the history data is dynamically updated.
Specifically, combining step S205 and step S206, as shown in fig. 3, after obtaining the subsidy unit price, applying the subsidy unit price to the online ticketing system, performing online sales, and performing further learning based on the sales result as historical data, i.e., continuing to execute step S202 and step S204, continuously optimizing the subsidy unit price through continuous learning, and further achieving accurate control of the total budget, so as to avoid resource waste caused by artificial subjective participation, and submitting data to the actual data of the market for verification and correction through actual feedback of the market, so that the pricing of each movie ticket more conforms to the competitive demand of the same market.
It should be noted that the method for determining a fare provided in the embodiment of the present application is only described by taking the determination of a fare of a movie in a movie market as an example, and in addition, the method can be applied to other performance ticketing systems, so as to implement the method for determining a fare provided in the embodiment of the present application, and is not particularly limited.
Example 2
According to another aspect of the embodiments of the present invention, there is also provided a method for data acquisition, and fig. 4 is a flowchart of a method for data acquisition according to a second embodiment of the present invention, as shown in fig. 4, including:
step S401, market subdivision is carried out according to yard information to obtain at least one market subdivision;
s402, predicting at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment;
step S403, obtaining an expected box office of each market segment according to the relation;
step S404, calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment;
step S405, sending the fare of each market segment to an online system for sale to obtain sale data;
in step S406, the sales data is stored as history data so that the history data is dynamically updated.
Specifically, with reference to steps S401 to S406, the embodiment of the present application is different from the example in embodiment 1, and the method for acquiring data provided by the embodiment of the present application may be applied to each performance ticketing system, that is, according to each level of city in each region of the country, market segmentation is performed according to the location of the place where the performance activity is located, so as to obtain each market segment, and further, according to historical data, that is, past ticketing pricing and pricing of competitors, each market segment is predicted through a preset model, so as to obtain a relationship between the fare and the sales volume of each market segment, where the obtained relationship between the fare and the sales volume of each market segment may be a relationship between the fare and the sales volume of a day in the future; and then under the condition of obtaining the relation, obtaining an expected box office of each market segment, calculating based on the expected box office and the total budget to obtain the fare of each market segment, finally sending the fare of each market segment to an online system for sale to obtain sale data, storing the sale data as historical data to dynamically update the historical data, so that the fare and the total budget can be corrected by actual feedback of the market after each sale behavior, resource waste caused by artificial subjective participation is avoided, and the actual data of the market is subjected to checking and correcting through actual feedback of the market, so that the fare pricing of different performance markets more conforms to the competitive requirements of the same market.
It should be noted that, in the embodiment of the present application, in addition to being applicable to the movie ticket house market, the method may also be applied to an online-offline ticketing system for theater performances, such as drama, opera, concert, and concert related to ticket revenue, except that a variable parameter is added in step S402 in the data acquisition method provided in the embodiment of the present application according to the characteristics of each play category, for example, a star performance may be adjusted to a high-expectation ticket house in a manner of setting weight when calculating expectation; or performing the box-office prediction and the reservation of the ticket price for the next quarter or the next year according to the inflation coefficient of the currency.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method for acquiring data according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation manner in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 3
There is also provided an apparatus for implementing the method for determining a fare in accordance with an embodiment of the present invention, fig. 5 is a schematic diagram of an apparatus for determining a fare in accordance with a third embodiment of the present invention, as shown in fig. 5, the apparatus including:
the calculating module 52 is used for calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market segment; a pricing module 54 for determining a fare for each market segment based at least on the total budget and the relationship.
Example 4
According to an embodiment of the present invention, there is also provided an apparatus for implementing the above method for data acquisition, and fig. 6 is a schematic diagram of an apparatus for data acquisition according to a fourth embodiment of the present invention, as shown in fig. 6, the apparatus includes:
the first obtaining module 61 is used for market subdivision according to yard line information to obtain at least one market subdivision; the prediction module 62 is configured to predict at least one market segment through a preset model according to historical data to obtain a relationship between the fare and the sales volume of each market segment; a second obtaining module 63, configured to obtain an expected box office of each segment market according to the relationship; a calculating module 64, configured to calculate according to the total budget and the expected box-office of each segment market to obtain a fare of each segment market; a sending module 65, configured to send the fare of each market segment to an online system for sale, so as to obtain sales data; a storage module 66 for storing the sales data as historical data, such that the historical data is dynamically updated.
Example 5
There is also provided, in accordance with an aspect of another embodiment of the present invention, a system for determining a fare, including: the system comprises an online subsystem and a data learning subsystem, wherein the data learning subsystem is used for market segmentation according to yard information to obtain at least one segment market; predicting at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment; obtaining an expected box office of each market segment according to the relation; calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment; the online system is used for sending the ticket price of each market segment to the online system for sale to obtain sale data; the sales data is stored as historical data so that the historical data is dynamically updated.
Specifically, as shown in fig. 3, the online subsystem is an outer part of a dashed-line frame, and the data learning subsystem is an inner part of the dashed-line frame, where the system for determining the fare in the embodiment of the present application is divided into three layers, a data layer, an algorithm layer, and an application layer.
The data layer is the data source and business constraint of intelligent pricing of the ticketing system. The data layer provides the data needed by the algorithm and gives pricing and regulatory business requirements, such as total budget limits.
And the algorithm layer is the core of the dynamic pricing and yield optimization decision system. The algorithm layer subdivides the market, carries out deep price-sales relation modeling according to historical transaction data and market characteristics, predicts the results of sales and shares when different prices are set in different subdivided markets in the future, and selects the optimal pricing solution according to business requirements.
And the application layer is the final price output of each market segment of the intelligent pricing and profit optimization decision-making system.
Still take the movie market to confirm the movie fare as an example, the online subsystem carries out online sale of the movie fare according to the price output of the application layer, and feeds back the sale result after sale to the data layer, so that the algorithm layer carries out further learning, resource waste caused by artificial subjective participation is avoided, and data is submitted to the market actual data for verification and correction through the market actual feedback, so that the pricing of each movie fare is more in line with the competitive demand of the same market.
Example 6
According to another aspect of another embodiment of the present invention, there is also provided a storage medium including a stored program, wherein when the program is executed, a device in which the storage medium is located is controlled to execute the method of the above embodiment 1 or 2.
Example 7
According to another aspect of another embodiment of the present invention, there is also provided a processor for executing a program, where the program executes to perform the above method.
Example 8
The embodiment of the invention also provides a storage medium. Optionally, in this embodiment, the storage medium may be configured to store the program code executed by the method for determining a fare provided in the first embodiment.
Optionally, in this embodiment, the storage medium may be located in any one of computer terminals in a computer terminal group in a computer network, or in any one of mobile terminals in a mobile terminal group.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market subdivision; a fare for each market segment is determined based at least on the total budget and the relationship.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: acquiring yard information and historical data before calculation according to the acquired yard information and the historical data; wherein, cinema information includes: the theater geographic location, film type, and show time period; the historical data includes: historical prices, historical competitive prices for box office data.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market subdivision, wherein the relation comprises the following steps: market segmentation is carried out according to the geographic position of the cinema, the type of the film and the showing time period to obtain at least one segment market; predicting at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment; wherein, predetermine the model and include: a moving average method and a polynomial logic model.
Further, optionally, in the present embodiment, the storage medium is configured to store program code for performing the following steps: selecting corresponding subsidy money for each market segment from a preset discrete subsidy money point set; the expected box-office of each market segment is obtained according to the subsidy amount.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: determining the fare for each market segment based on the total budget and the relationship includes: obtaining an expected box office of each market segment according to the relation; and calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: sending the ticket price of each market segment to an online system for sale to obtain sale data; the sales data is stored as historical data so that the historical data is dynamically updated.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be 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, units or modules, and may be in an electrical or other form.
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 purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention 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 solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes 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 method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (12)

1. A method of determining a fare, comprising:
calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market subdivision;
determining a fare for each market segment based at least on the total budget and the relationship.
2. The method of claim 1, wherein the method further comprises:
acquiring the cinema information and historical data;
wherein the yard information comprises: the theater geographic location, film type, and show time period;
the historical data includes: historical prices, historical competitive prices for box office data.
3. The method of claim 1 or 2, wherein the obtaining of the relationship between the fare and the sales of each market segment by performing the calculation according to the acquired cinema information and the historical data comprises:
market segmentation is carried out according to the geographic position of the cinema, the type of the film and the showing time period to obtain at least one segment market;
predicting the at least one market segment through a preset model according to the historical data to obtain the relation between the fare and the sales volume of each market segment;
wherein the preset model comprises: a moving average method and a polynomial logic model.
4. The method of claim 3, wherein the method further comprises:
selecting corresponding subsidy money for each market segment from a preset discrete subsidy money point set;
and obtaining the expected box-office of each market segment according to the subsidy amount.
5. The method of claim 1 or 4, wherein said determining a fare for each market segment in dependence on at least a total budget and said relationship comprises:
obtaining an expected box office of each market segment according to the relation;
and calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment.
6. The method of claim 1, wherein the method further comprises:
sending the ticket price of each market segment to an online system for sale to obtain sale data;
storing the sales data as historical data such that the historical data is dynamically updated.
7. A method of data acquisition, comprising:
market segmentation is carried out according to yard information to obtain at least one segment market;
predicting the at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment;
obtaining an expected box office of each market segment according to the relation;
calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment;
sending the ticket price of each market segment to an online system for sale to obtain sale data;
storing the sales data as historical data such that the historical data is dynamically updated.
8. An apparatus for determining a fare, comprising:
the calculation module is used for calculating according to the acquired cinema information and historical data to obtain the relation between the fare and the sales volume of each market segment;
a pricing module for determining a fare for each market segment based at least on the total budget and the relationship.
9. An apparatus for data acquisition, comprising:
the first acquisition module is used for market subdivision according to yard line information to obtain at least one market subdivision;
the prediction module is used for predicting the at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment;
the second obtaining module is used for obtaining the expected box-office of each market segment according to the relation;
the calculating module is used for calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment;
the sending module is used for sending the ticket price of each market segment to an online system for sale to obtain sale data;
and the storage module is used for storing the sales data as historical data so as to dynamically update the historical data.
10. A system for determining a fare, comprising: an online subsystem and a data learning subsystem, wherein,
the data learning subsystem is used for market subdivision according to yard line information to obtain at least one market subdivision; predicting the at least one market segment through a preset model according to historical data to obtain the relation between the fare and the sales volume of each market segment; obtaining an expected box office of each market segment according to the relation;
calculating according to the total budget and the expected box-office of each market segment to obtain the fare of each market segment;
the online system is used for sending the fare of each market segment to the online system for sale to obtain sale data; storing the sales data as historical data such that the historical data is dynamically updated.
11. A storage medium comprising a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to perform the method of determining a fare of claim 1 or the method of data acquisition of claim 6.
12. A processor for running a program, wherein the program when run performs the method of determining a fare of claim 1 or the method of data acquisition of claim 6.
CN201910277418.XA 2019-04-08 2019-04-08 Method for determining fare, method, device and system for acquiring data Pending CN111798256A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115660728A (en) * 2022-10-11 2023-01-31 南京意博软件科技有限公司 Air ticket sales order prediction method and device, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115660728A (en) * 2022-10-11 2023-01-31 南京意博软件科技有限公司 Air ticket sales order prediction method and device, electronic equipment and storage medium
CN115660728B (en) * 2022-10-11 2023-10-20 南京意博软件科技有限公司 Air ticket sales order prediction method and device, electronic equipment and storage medium

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