CN112070449A - Film arranging data processing method, terminal, server and system - Google Patents
Film arranging data processing method, terminal, server and system Download PDFInfo
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Abstract
The present specification provides a method, a terminal, a server and a system for processing movie film arrangement data, which determine the priority order of each movie to be arranged by analyzing the movie data of each movie in data platforms such as a cinema data service platform and a search engine. And performing box office prediction on the films to be arranged to determine the corresponding field range of each film to be arranged. Meanwhile, the quality and the golden period of the movie hall of the movie theatre to be arranged are analyzed, and the quality distribution and the golden period distribution of the movie hall of the movie theatre to be analyzed are determined. And (4) integrating the priority and the field range of the film to be arranged, the quality distribution of the cinema to be analyzed and the golden time period distribution of the cinema, and carrying out film arrangement treatment on each film to be arranged. Based on big data analysis, the heat degree of each film and the quality distribution and the golden period of cinema movie theatres are synthesized, the film arrangement is realized intelligently, automatically and differentially, and the reasonability and the flexibility of the film arrangement are improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, a terminal, a server, and a system for processing movie film arrangement data.
Background
With the development of the film industry, the number index of films is rising continuously, and how to arrange and show the films shown in the same period is related to the income of a cinema and the box office of the films.
In the prior art, manual film arrangement is generally adopted for film arrangement, or auxiliary film arrangement is performed based on preset rules, the film arrangement is not flexible enough, the film arrangement difficulty is high, and particularly, the centralized film management in a film festival scene reaches thousands, and the film arrangement difficulty is high. How to realize flexible and reasonable film arrangement of the movies is a technical problem which needs to be solved urgently in the field.
Disclosure of Invention
An embodiment of the specification aims to provide a method, a terminal, a server and a system for processing movie film arrangement data, so that the flexibility and the rationality of movie film arrangement are improved.
In one aspect, an embodiment of the present specification provides a method for processing movie scheduling data, including:
receiving film analysis data of a film to be filmed and historical box office income data of a cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
determining the priority of each film to be filmed according to the film associated data;
according to the single-day forecast box office data of each film to be arranged, determining the corresponding field range of each film to be arranged;
determining the quality distribution and golden time period distribution of the movie hall of the movie theatre to be arranged according to the historical box office income data of the movie theatre to be arranged;
and generating a film arrangement result of the film to be arranged based on the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the film hall and the golden period distribution of the film hall.
In another aspect, an embodiment of the present specification provides a method for processing movie scheduling data, including:
acquiring film analysis data of a film to be filmed and historical box office income data of a cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
and sending the film analysis data and the historical box office income data to a film arranging data processing terminal so that the film arranging data processing terminal generates a film arranging result of the film to be arranged according to the film analysis data and the historical box office income data.
In another aspect, the present specification provides a movie arrangement data processing terminal, including:
the data receiving module is used for receiving film analysis data of the film to be filmed and historical box office income data of the film cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
a film priority determining module, configured to determine, according to the film-related data, a priority of each of the to-be-filmed films;
the film field determining module is used for predicting box office data according to the single day of each film to be filmed and determining the field range corresponding to each film to be filmed;
the cinema analysis module is used for determining the quality distribution and the golden time period distribution of the movie hall of the movie theatre to be arranged according to the historical box office income data of the movie theatre to be arranged;
and the film arranging module is used for generating the film arranging result of the film to be arranged based on the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the film hall and the golden period distribution of the film hall.
In yet another aspect, the present specification provides a movie ordering data collection server, including:
the data acquisition module is used for acquiring film analysis data of a film to be filmed and historical box office income data of a cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
and the data sending module is used for sending the film analysis data and the historical box office income data to a film arranging data processing client so that the film arranging data processing terminal can generate the film arranging result of the film to be arranged according to the film analysis data and the historical box office income data.
In yet another aspect, the present specification provides a movie screening data processing system, comprising:
the system comprises a movie film arrangement data processing client and at least one movie film arrangement data acquisition server;
the movie film arrangement data acquisition server is used for acquiring movie analysis data of a movie to be arranged and historical box office income data of the movie to be arranged from a cinema data service platform and a search engine, and sending the acquired data to the movie film arrangement data processing client, wherein the movie analysis data comprises single-day prediction box office data and movie associated data of the movie to be arranged, and the movie associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
the movie film arrangement data processing client comprises a data receiving device and a processor, wherein the data receiving device is used for receiving movie analysis data collected by the movie film arrangement data collection server and historical box office income data of a movie theater to be arranged, the processor is used for determining the priority and the field range of the movie film to be arranged, the quality distribution of a movie hall and the golden period distribution of the movie hall of the movie theater to be arranged according to the data collected by the movie film arrangement data collection server, and generating the film arrangement result of the movie film to be arranged based on the priority of the movie film to be arranged, the field range corresponding to the movie film to be arranged, the quality distribution of the movie hall and the golden period distribution of the movie hall. In yet another aspect, the present specification provides a movie listing data processing apparatus comprising: the system comprises at least one processor and a memory for storing processor-executable instructions, wherein the processor executes the instructions to realize the movie scheduling data processing method.
The movie film arrangement data processing method, terminal, server, processing device, and system provided in this specification determine the priority order of each movie to be arranged by analyzing data of each movie in data platforms such as a cinema data service platform and a search engine. And performing box office prediction on the films to be arranged to determine the corresponding field range of each film to be arranged. Meanwhile, the quality and the golden period of the movie hall of the movie theatre to be arranged are analyzed, and the quality distribution and the golden period distribution of the movie hall of the movie theatre to be analyzed are determined. And (4) integrating the priority and the field range of the film to be arranged, the quality distribution of the cinema to be analyzed and the golden time period distribution of the cinema, and carrying out film arrangement treatment on each film to be arranged. Based on big data analysis, the heat degree of each film and the quality distribution and the golden period of cinema movie theatres are synthesized, the film arrangement is realized intelligently, automatically and differentially, and the reasonability and the flexibility of the film arrangement are improved.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a schematic flow chart of a method for processing movie arrangement data in one embodiment of the present specification;
FIG. 2 is a movie analysis interface in a cloud intelligence data system in an example scenario of the present specification;
FIG. 3 is a graph illustrating the single day box office revenue curves for photo hall a and photo hall b in one embodiment of the present disclosure;
FIG. 4 is a flow chart illustrating a method for processing movie film arrangement data in another embodiment of the present disclosure;
fig. 5 is a block diagram of an embodiment of a movie listing data processing terminal provided in the present specification;
fig. 6 is a schematic structural diagram of a movie arrangement data processing terminal in another embodiment of the present specification;
FIG. 7 is a block diagram of a movie ordering data processing system in one embodiment of the present disclosure;
fig. 8 is a block diagram showing a hardware configuration of a movie screening data processing server in one embodiment of the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
With the progress of science and technology and the improvement of living standard of people, the number of the movies is continuously increased, and more users go to the cinema to watch the movies. The number of movies shown in the same period is increasing, and how to arrange the movies shown in the same period affects the income of the theater and the viewing effect of the movies.
In the embodiment of the present specification, a method for processing movie film arrangement data is provided, in which movie analysis data of each movie in a data platform such as a cinema data service platform and each search engine is utilized to perform priority ordering on movies to be arranged. And performing box office prediction on the films to be arranged to determine the corresponding field range of each film to be arranged. Meanwhile, the quality and the golden period of the movie hall of the movie theatre to be arranged are analyzed, and the quality distribution and the golden period distribution of the movie hall of the movie theatre to be analyzed are determined. And (4) integrating the priority and the field range of the film to be arranged, the quality distribution and the golden time period distribution of the film hall of the cinema to be analyzed, and arranging the film of each film to be arranged. Based on big data analysis, the heat degree of each film and the quality distribution and the golden period of cinema movie theatres are synthesized, the film arrangement is realized intelligently, automatically and differentially, and the reasonability and the flexibility of the film arrangement are improved.
The method for processing the film arranging data in the specification can be applied to a client or a server, and the client can be an intelligent mobile phone, a tablet computer, intelligent wearable equipment (an intelligent watch, virtual reality glasses, a virtual reality helmet and the like), intelligent vehicle-mounted equipment and other electronic equipment.
Specifically, fig. 1 is a schematic flow diagram of a movie arrangement data processing method in an embodiment of the present specification, and as shown in fig. 1, the movie arrangement data processing method provided in an embodiment of the present specification may include:
102, receiving film analysis data of a film to be scheduled and historical box office income data of a cinema to be scheduled, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be scheduled, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed.
A to-be-filmed movie may represent a movie that is shown at the same time frame, or a movie that is ready to be shown at the same time by a to-be-filmed theater. Such as: the movie shown on day 5/month/1 in 2019 is A, B, C, cinema a is ready to show movie A, B, C on day 5/month/1 in 2019, movie arrangement is required for cinema a on day 5/month/1 in 2019, and movie A, B, C can be used as a movie to be arranged.
In a specific implementation process, the data acquisition server may be used to provide a search result through a cinema data service platform and a search engine such as: the movie analysis data of the movie to be scheduled is acquired by Baidu, Xinlang microblog, Tencent microblog, today's first item or other platforms, and the cinema data service platform can be understood as a big data analysis system in the movie industry such as: the cloud intelligence data system and the cinema data service platform can synthesize data of each network system or network terminal and perform heat analysis of different dimensions on the film. The film analysis data may include single-day predicted box office data and film associated data for each film to be scheduled, the film associated data including: at least one of popularity data, public opinion data and user portrait data of each film to be filmed. The single-day prediction box office data can acquire the number of people who want to watch each single day of each film to be listed and the ticket price from the cinema data service platform, and the single-day prediction box office data of each film to be listed are calculated, for example: the predicted single-day box office data is the number of people who want to watch on a single day x the price of the box office.
The popularity data may include the number of people wanting to watch each movie to be listed, which is determined by the cinema data service platform after big data analysis, and popularity indexes of each movie to be listed in different network platforms. The number of people wanting to watch each movie to be listed can be the accumulated number of people wanting to watch by integrating each network platform. The popularity index may indicate the user attention of each movie to be scheduled in different network platforms, such as: the search times of each movie to be listed in different network platforms within a specified time range may be the times to be searched for, or the times to be mentioned of each movie to be listed in different network platforms within the specified time range may be the times to be mentioned, or the times to be mentioned and the times to be mentioned may be calculated according to a certain calculation rule according to the search times and the times to be mentioned, so as to represent the value of the degree of attention of the movie to be listed. The network platform can comprise a microblog, a WeChat, a Baidu, a Google, a video playing website, a movie ticket booking or purchasing platform, a movie evaluation platform and the like.
For example: fig. 2 is a movie analysis interface in a cloud intelligence data system in a scenario example of the present specification, and as shown in fig. 2, in the scenario example of the present specification, hotness data of each movie to be listed, that is, the hotness chart of the movie to be shown in fig. 2, may be obtained from a sub-module movie analysis in a movie insights module in the cloud intelligence data system. Such as: key indexes such as the accumulated number of people wanting to watch, the microblog index, the WeChat index and the Baidu index of a recent movie to be listed in a popularity chart of a movie to be shown in movie analysis are obtained and serve as the primary weight reference values of the movie during subsequent movie listing, and the microblog index, the WeChat index and the Baidu index are the popularity indexes of different network platforms recorded in the embodiment. In fig. 2, "-" in the number of people wanting to see at an increased date may indicate that the data is not counted, and the microblog index, the WeChat index, the Baidu index, and the like in fig. 2 may indicate values obtained by performing certain data processing (such as normalization processing) on the frequency or the number of times that the user searches for the movie using the microblog, WeChat, and Baidu.
The public opinion data may represent the attention degree of the public to each movie to be listed, and specifically may include search indexes of different search engines, where the search index may represent the number of searches for a movie within a specified time range, or the search frequency, etc. The search may be performed by different search engines such as: and acquiring public opinion data of each film to be listed by mainstream search engines such as the Xinlang microblog, the Teng microblog and the today's head. The user portrait data may be understood as attributes of gender, age, occupation, academic industry, and the like of a user who focuses on a movie, and interest preference information of the user on a movie type, a movie area, actors, and the like.
And step 104, determining the priority of each film to be listed according to the first weight value.
In a specific implementation process, after the movie analysis data of the movies to be listed is obtained, the movie association data in the movie analysis data can be calculated according to a certain rule, so as to determine the priority of each movie to be listed. The specific method for calculating the priority of the movie to be scheduled may be to perform mathematical simulation according to expert experience or historical data, and determine a corresponding calculation rule or function, which is not limited in this specification. Such as: the attention degree corresponding to each film to be filmed can be determined according to heat data, public opinion data or user portrait data in the film associated data, priority ordering is performed on the films to be filmed according to the attention degree, and specific rules for determining the attention degree corresponding to each film to be filmed can be set according to actual needs by combining with expert experience and the like.
And 106, determining the corresponding field range of each film to be arranged according to the single-day forecast box office data of each film to be arranged.
In a specific implementation process, the number of people wanting to watch each single day of each film to be listed and the ticket price can be obtained from the cinema data service platform, and the single-day predicted box office data of each film to be listed is calculated, for example: the predicted single-day box office data is the number of people who want to watch on a single day x the price of the box office. According to the single-day predicted box office data of each film to be arranged, the corresponding field range of each film to be arranged can be calculated, namely, the field range of the film to be arranged can be calculated to meet the single-day predicted box office data. Specifically, a mapping relationship or a functional relationship between the field range of the movie to be scheduled and the single-day predicted box office data of the movie to be scheduled may be determined through a model training mode, or may be calculated according to other calculation rules, which is not specifically limited in the embodiments of the present specification.
In an embodiment of this specification, the determining, according to the single-day predicted box office data of each movie to be filmed, a session range corresponding to each movie to be filmed includes:
determining single-day comprehensive prediction box office data of all the films to be arranged according to the single-day prediction box office data of all the films to be arranged;
determining the ratio of the cinema box rooms of each film to be arranged according to the single-day predicted box room data and the single-day comprehensive predicted box room data of each film to be arranged;
and calculating the product of the single-day predicted box office data of the film to be arranged and the corresponding cinema box office ratio, and dividing the product by the film single-site income of the film to be arranged, and taking the calculation result as the corresponding field range of the film to be arranged.
In a specific implementation process, the single-day comprehensive prediction box-office data of all the movies to be scheduled can be determined according to the single-day prediction box-office data of each movie to be scheduled, and the single-day comprehensive prediction box-office data can be an accumulated value of the single-day prediction box-office data of each movie to be scheduled. And then according to the single-day predicted box office data and the single-day comprehensive predicted box office data of the film to be arranged, determining the cinema box office ratio of each film to be arranged, such as: the ratio of theater box office of the film a to be arranged is (single-day predicted box office data/single-day comprehensive predicted box office data) x 100%. And calculating the corresponding field range of the film to be arranged according to the following formula: the range of the scenes is single-day forecast box office data x cinema box office ratio/film single-scene income. Wherein, the film ticket income can be calculated according to the fare and the cost of the film, and the embodiment of the specification is not particularly limited.
In the embodiment of the description, the single-day prediction box office data of each film to be arranged is predicted through big data analysis, and the field range required to be arranged in the film is calculated based on the single-day prediction box office data, so that a data base is laid for the arrangement of the subsequent films.
And 108, determining the quality distribution and the golden time period distribution of the movie hall of the movie theatre to be arranged according to the historical box office income data of the movie theatre to be arranged.
In a specific implementation process, historical box office revenue data of the cinema to be scheduled can be acquired, such as: historical box office income data in a specified time range comprise box office income data of each movie hall in different time ranges, and the quality distribution of the movie halls of the cinema to be arranged and the golden time period distribution of the movie halls can be calculated according to the box office income data of each movie hall in different time ranges. The quality distribution of the photo rooms can represent the ranking of the photo room quality by integrating the total box office income of each photo room in a specified time range, such as: the total income of the box office of each movie hall of the movie theatre to be arranged one week before the current time can be synthesized, the quality of the movie halls is sequenced, and the higher the income of the box office is, the higher the quality is. One day can also be divided into different time periods, and the quality distribution of the video hall in each time period is determined, such as: sorting the box office income of each photo hall in each time slot of 00:00-2:00, 2:00-7:00, 7:00-9:00, 9:00-14:00, 14:00-18:00, 18:00-22:00 and 22:00-24:00 to determine the quality distribution of the photo halls in each time slot.
The photo hall prime time period distribution can represent the distribution of time periods in which the photo hall box office data is higher in one day, and the photo hall prime time period can be one time period or a plurality of time periods, such as: calculating the box office of each photo hall in different time periods in one day, sequencing the box offices in different time periods of the photo halls according to the heights of the box offices, and determining the golden time period distribution of the photo halls corresponding to the photo halls. For example: the box office income of the photo hall A in the two time periods of 10:00-14:00 and 18:00-22:00 is higher, and then 10:00-14:00 and 18:00-22:00 can be used as the golden time period of the photo hall A. Alternatively, the box office income of each photo hall every day in a specified time range may be compared, and a period in which the box office income is always maintained at a higher level may be regarded as a prime time period. The box office income of each photo hall in different time periods every day can be sorted, and the sorted distribution of the box office income in different time periods is used as the photo hall golden time period distribution of the photo hall.
In some embodiments of the present specification, the determining, according to historical box office income data of the cinema to be scheduled, a quality distribution of a cinema hall and a golden period distribution of the cinema to be scheduled may include:
according to the historical box office income data of the cinema to be arranged, income curves of each cinema hall of the cinema to be arranged at different time in a single day are determined;
and determining the quality distribution and the golden time period distribution of the photo halls according to the income curves of the photo halls at different times in a single day.
In a specific implementation process, an income curve taking time intervals as dimensions in each movie hall of the movie theatre to be arranged on a single day can be drawn according to historical ticket house income data of the movie theatre to be arranged, and the quality distribution of the movie hall and the golden time interval distribution of the movie hall are further determined. Specifically, a single-day income curve of each living room may be drawn according to historical box office data of a specified day before the current time, or an average box office income of each time period of a single day may be calculated according to historical box office data within a specified time range before the current time, and the historical box office data of each living room may be drawn, or drawn in other manners, which is not specifically limited in the embodiments of the present specification.
Fig. 3 is a schematic diagram of a single-day box office income curve of a movie hall a and a movie hall b in one embodiment of the present description, and as shown in fig. 3, the box office income of each time period of each movie hall may be different, and according to the schematic diagram of the single-day box office income curve, the quality distribution of each movie hall and the golden time period of the movie hall in a cinema may be determined in different time periods, and the single-day total box office income may be integrated to determine the quality distribution of the movie hall. As shown in fig. 3, if the total ticket house income of one day is integrated and the ticket house income of the movie hall b is determined to be higher than that of the movie hall a, the quality of the movie hall b can be determined to be higher than that of the movie hall a. Similarly, the box office income of the photo hall a and the photo hall b in the time period of 18:00-22:00 is higher, and the photo hall golden time period of the photo hall a and the photo hall b can be 18:00-22: 00. Or sorting the box office income of each time period according to the box office income of each photo hall, and determining the golden time period distribution of the photo halls. Of course, other ways of determining the auditorium quality profile and auditorium prime time period profile may be used.
The embodiment of the specification analyzes historical box office data of each movie hall of the cinema to determine quality distribution and golden time period distribution of the movie hall, and lays a data foundation for subsequent film arrangement processing.
And 110, generating a film arrangement result of the film to be arranged based on the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the photo hall and the golden period distribution of the photo hall.
After determining the priority and the field range of each film to be arranged, and the quality distribution and the golden time period distribution of the movie hall of each cinema to be arranged, if: the films to be arranged with high priority can be preferentially arranged in the photo rooms with high quality, the films to be arranged with high priority can be preferentially arranged in the golden periods of the photo rooms, and the final film arrangement result accords with the corresponding field range of the films to be arranged.
In an embodiment of the present specification, a film to be filmed with a high priority may be preferentially arranged in a prime time period of a high-quality film hall, and a scene range is used as a film arranging condition, and a film arranging result of the film to be filmed is adjusted, so that the scene of each film to be filmed is in a corresponding scene range and is not lower than the lowest scene of the scene range corresponding to the film to be filmed.
For example: a, B of the film to be arranged, a movie hall a and a movie hall b of the movie theater to be arranged, A, B of the priority of the film to be arranged is determined through the analysis of the related data of the films, the quality of the movie hall a is higher than that of the movie hall b, wherein: the box office income in the time period of 18:00-22:00 is the highest in the golden period distribution of the photo hall a, and the box office income in the time period of 14:00-18:00 is the highest in the golden period distribution of the photo hall b. The to-be-scheduled movie a may be preferentially arranged in the time period of 18:00-22:00 in lobby a, and the to-be-scheduled movie b may be arranged in the time period of 18:00-22:00 in lobby b. If more movies to be scheduled are available, the movies with higher priority can be preferentially arranged, so that the movies with lower priority are arranged according to the rest of the movie hall after the scenes of the movies with higher priority meet the scene requirements.
If there are more movies to be listed, such as: the film to be arranged is A, B, C, D, the cinema to be arranged is a cinema hall a, a cinema hall b and a cinema hall c, the priority of the film to be arranged is A, B, C, D, and the quality of the cinema hall is a, b and c. Determining the field range of A, B, C, D of each film according to the single-day forecast box office data of each film to be arranged, and determining the prime time period distribution of each film hall according to the historical box office data of the film halls a, b and c. The film a is arranged to occupy the prime time periods of all the cinemas, for example, the field range of the film a needs to be arranged by 10 fields at least, 4 fields can be arranged in the prime time period of the cinematode a, 3 fields can be arranged in the prime time period of the cinematode b, and 3 fields can be arranged in the prime time period of the cinematode c. And arranging the film arrangement of the film B, arranging the film B in the remaining golden time period of each movie hall, and so on.
In addition, referring to the description of the above embodiment, the quality distribution of the photo hall may further include the quality distribution of each photo hall in different time periods, and when the movie is arranged, the quality distribution of the photo hall in different time periods may be integrated to arrange the photos. Such as: if the field of the film A to be arranged is not full, and the film is not arranged in the period of 8:00-10:00 in the photo hall a and the photo hall b, the film hall with higher quality in the period of 8:00-10:00 can be found out according to the quality distribution of the photo hall corresponding to the period of 8:00-10:00 in the photo hall a and the photo hall b, and the film A to be arranged is distributed in the period of the photo hall with higher quality to be played.
In addition, when the films to be arranged are arranged, the film arrangement processing can be carried out by integrating the duration of each film to be arranged and the time period of the films not arranged in each studio. The film arrangement model can be constructed through computer program or model training, the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the film hall and the golden period distribution of the film hall are taken as constraint conditions, and intelligent film arrangement is carried out.
The embodiment of the specification realizes the preferential arrangement of the film to be arranged with higher priority, namely high attention of the user, based on the quality distribution of the movie hall, the golden time period distribution of the movie hall and the priority of the film, improves the rationality of film arrangement, and can improve the revenue level of a cinema.
In the embodiment of the present specification, a film arrangement result for a single day or multiple days may be generated, that is, a film arrangement process for one day or multiple days may be implemented. Such as: the current time is 20 days in 5 months in 2019, and the film ranking can be carried out on 21 days in 5 months in 2019, or can be carried out on 21-26 days in 5 months in 2019.
In addition, the steps 104 to 108 may be executed sequentially, or the execution sequence may be adjusted according to actual needs, as shown in fig. 1, the steps 104, 106, and 108 may be executed simultaneously, that is, the calculation sequence of the priority ranking of the movies to be scheduled, the prediction of the field range, the movie hall quality distribution of the movie theatre to be scheduled, and the movie hall prime time period distribution may be set according to actual needs, and the specific execution sequence is not specifically limited in this specification.
In the method for processing movie scheduling data provided in the embodiment of the present specification, movie analysis data of each movie in data platforms such as a cinema data service platform and each large search engine is utilized to perform priority ranking on movies to be scheduled. And performing box office prediction on the films to be arranged to determine the corresponding field range of each film to be arranged. Meanwhile, the quality and the golden period of the movie hall of the movie theatre to be arranged are analyzed, and the quality distribution and the golden period distribution of the movie hall of the movie theatre to be analyzed are determined. And (4) integrating the priority and the field range of the film to be arranged, the quality distribution of the cinema to be analyzed and the golden time period distribution of the cinema, and carrying out film arrangement treatment on each film to be arranged. Based on big data analysis, the heat degree of each film and the quality distribution and the golden period of cinema movie theatres are synthesized, the film arrangement is realized intelligently, automatically and differentially, and the reasonability and the flexibility of the film arrangement are improved.
On the basis of the foregoing embodiments, in some embodiments of the present specification, the determining, according to the movie related data, the priority of each movie to be listed includes:
determining a first weight value of each film to be arranged according to heat data in the film associated data;
determining a second weighted value of each film to be arranged according to public sentiment data in the film associated data;
determining a third weight value of each film to be filmed according to user portrait data in the film associated data;
determining the priority of each movie to be listed based on at least one of the first weight value, the second weight value and the third weight value.
In a specific implementation process, the big data analysis may be performed on the attention degree of each movie to be filmed according to the data in the received movie analysis data, such as: if the film associated data in the received film analysis data comprises popularity data, public sentiment data and user portrait data, a first weight value of each film to be arranged can be determined according to the popularity data, a second weight value of each film to be arranged can be determined according to the public sentiment data, and a third weight value of each film to be arranged can be determined according to the user portrait data. The first weight value, the second weight value and the third weight value can represent the concerned degree of each to-be-listed movie analyzed by different dimensionality data, namely, the heat of the movie is determined by using the data of different dimensionalities. And determining the priority of the film to be arranged by integrating the first weight value, the second weight value and the third weight value, if: the sum of the three weight values can be used as a comprehensive weight value of the film to be arranged, or the weighted average value of the three weight values is used as a comprehensive weight value of the film to be arranged, or other modes are adopted to calculate the comprehensive weight value of each film to be arranged, and the priority of each film to be arranged is determined according to the size of the comprehensive weight value. The first weight value, the second weight value, and the third weight value may be calculated by performing mathematical simulation or the like according to expert experience or according to historical data to determine corresponding calculation rules or functions, which is not limited in the embodiments of the present specification.
It should be noted that, when calculating the weight value of the to-be-filmed movie, the first weight value of the to-be-filmed movie may be calculated according to the received movie associated data, if the movie associated data includes heat data, the second weight value of the to-be-filmed movie may be calculated if the movie associated data includes public sentiment data, and if the movie associated data includes user portrait data, the third weight value of the to-be-filmed movie may be calculated, that is, the calculation of the weight value of the to-be-filmed movie may be determined by the received movie relation data. Or, if the movie related data does not include the popularity data, it may be considered that the first weight value of the movie to be scheduled is 0, and so on.
In the embodiment of the specification, the heat analysis is performed on the fixing to be arranged by using the data with different dimensions, the weight values of the film to be arranged, which are analyzed by using the data with different dimensions, are determined, the priority of the film to be arranged is further determined according to the weight values of the film to be arranged, which are determined by using the data with different dimensions, and a data basis is provided for the reasonable arrangement of the subsequent film to be arranged.
On the basis of the foregoing embodiments, in some embodiments of the present specification, the determining the priority of each movie to be listed based on at least one of the first weight value, the second weight value, and the third weight value includes:
presetting weight coefficients corresponding to the first weight value, the second weight value and the third weight value;
calculating the sum of the products of the first weight value, the second weight value and the third weight value and the corresponding weight coefficients respectively as a comprehensive weight value of the film to be arranged;
and determining the priority of the film to be arranged according to the magnitude of the comprehensive weight value.
In a specific implementation process, weight coefficients corresponding to different dimensional data can be preset according to the influence of the heat of the film to be arranged on the film to be arranged, after the weight values corresponding to the film to be arranged are calculated according to the different dimensional data, the weight values and the corresponding weight coefficients can be multiplied, and then the products are added to obtain a comprehensive weight value of the film to be arranged. The larger the comprehensive weight value is, the higher the priority of the film to be arranged. For example: in an example of this specification, the calculation manner of the comprehensive weight value of each movie to be listed may be: the integrated weight value is equal to the first weight value × 0.5+ the second weight value × 0.3+ the third weight value × 0.2. The weight coefficient may represent the influence degree of different weight values on the comprehensive weight value of the film to be listed, and the specific value may be set according to actual needs, which is not specifically limited in the embodiments of the present specification.
According to the embodiment of the specification, the weight coefficients corresponding to different dimensionality data are preset according to the influence of the heat of the film to be arranged on the data with different dimensionality, the weight values of the film to be arranged and the corresponding weight coefficients calculated by the data with different dimensionality are integrated, the integrated weight values of the films to be arranged are determined, the priority of each film to be arranged is accurately determined, and a data basis is laid for reasonable film arrangement of the film to be arranged.
On the basis of the foregoing embodiments, in some embodiments of the present specification, the method may further include:
the fourth weight value of each film to be arranged is configured in a user-defined mode;
correspondingly, the determining the priority of each movie to be listed according to the movie associated data includes:
determining a comprehensive weight value of each film to be arranged according to the film associated data and the fourth weight value;
and determining the priority of each film to be listed according to the magnitude of the comprehensive weight value.
In a specific implementation process, a theater manager or a person in charge of film arrangement of each cinema to be arranged may configure a fourth weight value of a movie to be arranged in the same period in a user-defined manner, where a specific value of the fourth weight value may be set according to requirements of theaters or experiences of the theater manager, and embodiments of the present specification are not limited specifically. And the magnitude of the fourth weight value can be adjusted according to actual needs. When the priority of the film to be arranged is determined, the film association data and the fourth weight value can be integrated to obtain the integrated weight value of the film to be arranged, and the priority of each film to be arranged is determined according to the size of the integrated weight value. When determining the comprehensive weight value, the records of the above embodiment may be referred to, the movie associated data of different dimensions are analyzed, the weight values of the to-be-listed movies corresponding to the movie associated data of different dimensions are calculated, and then, the influence degree of the movie associated data of different dimensions and the fourth weight value on the movie popularity may be determined according to expert experience or according to historical data, and a weight coefficient is set. And determining the comprehensive weight value of the film to be arranged by integrating the weight coefficient and the weight value. The larger the comprehensive weight value is, the higher the priority of the film to be arranged. For example: in some embodiments of the present description, a first weight value, a second weight value, a third weight value, and a fourth weight value of each to-be-listed movie may be determined, and the first weight value, the second weight value, the third weight value, and the fourth weight value are integrated to obtain an integrated weight value, so as to further determine a priority of each to-be-listed movie. For example: in an example of this specification, the calculation manner of the comprehensive weight value of each movie to be listed may be: the integrated weight value is equal to the first weight value × 0.5+ the second weight value × 0.1+ the third weight value × 0.1+ the fourth weight value × 0.3.
It should be noted that, in the embodiments of the present description, one or more data with different dimensions may be arbitrarily selected, and the comprehensive weight value of the movie to be listed is determined. For example: and determining a first weight value of the film to be arranged according to the heat data, taking the first weight value as a comprehensive weight value of the film to be arranged, and considering other weight values as 0. Or, a first weight value of the to-be-scheduled movie is determined according to the heat data, a fourth weight value set by a user in a user-defined manner is combined to determine a comprehensive weight value of the to-be-scheduled movie, or by analogy, the comprehensive weight value of the to-be-scheduled movie is determined by adopting the combination of other data, and embodiments of the present specification are not particularly limited. That is, in some embodiments of this specification, a comprehensive analysis may be performed according to any one or a combination of any more of popularity data, public opinion data, user portrait data, and a fourth weight value of a user-defined movie to be filmed, so as to determine a priority of the movie to be filmed, which is not limited in this specification.
In the embodiment of the specification, the user can configure each weighted value of the to-be-scheduled movies in a user-defined manner, and the priority of each to-be-scheduled movie can be adjusted by combining the user-defined second weighted value, so that the scheduling data of the to-be-scheduled movies can be adjusted, the final scheduling result can better meet the user requirement, and the film scheduling reasonableness is improved.
In one embodiment of the present specification, the heat data includes: the number of people wanting to watch the movie to be filmed and the corresponding heat index of the movie to be filmed in different network platforms are determined in the cinema data service platform;
correspondingly, the determining a first weight value of each movie to be listed according to the heat data in the associated movie data includes:
presetting influence values respectively corresponding to the number of people wanting to watch the film and the heat indexes of different network platforms;
and calculating the sum of the product of the number of people who want to watch the movie and the corresponding influence value and the product of the corresponding heat index and the corresponding influence value of the movie to be listed in different network platforms, and taking the calculation result as the first weight value.
In a specific implementation process, influence values corresponding to each data in the heat data may be determined in advance according to expert experience, mathematical simulation or the like, and a sum of products of each data in each heat data and the corresponding influence values is used as a first weight value. Wherein, the influence value may represent the influence degree of the data on the attention of the movie to be filmed, such as: the influence value of the number of people who want to watch may indicate the degree of influence of the number of people who want to watch on the attention of the movie on the movie.
For example: the popularity data of the movie to be listed comprises the number of people wanting to watch the movie, the microblog indexes, the WeChat indexes and the Baidu indexes, through analyzing the influence of each network platform and the number of people wanting to watch on the attention of the movie, the influence value of the number of people wanting to watch is preset to be 0.3, the influence value corresponding to the microblog indexes is 0.2, the influence value corresponding to the WeChat indexes is 0.2, and the influence value corresponding to the Baidu indexes is 0.3, so that the first weight value is equal to the number of people wanting to watch multiplied by 0.3+ the microblog indexes multiplied by 0.2+ the WeChat indexes multiplied by 0.2+ the Baidu indexes multiplied by 0.3.
By analyzing the influence degree of different heat data on film attention, setting the heat indexes of different network platforms and the influence value corresponding to the number of people who want to watch, the first weight value influencing the film arrangement of each film to be arranged can be accurately determined, and an accurate data base is laid for the film arrangement of subsequent films.
In a specific implementation process, calculating the second weight value of the movie to be listed based on the public sentiment data may refer to a manner of calculating the first weight value, such as: the search may be performed by different search engines such as: and acquiring public opinion data of each film to be listed by mainstream search engines such as the Xinlang microblog, the Teng microblog and the today's head. The public opinion data may represent the attention degree of the public to each movie to be listed, and specifically may include search indexes of different search engines, where the search index may represent the number of searches for a movie within a specified time range, or the search frequency, etc. Influence values of the search indexes corresponding to the search engines in the public opinion data can be determined in advance according to expert experience, mathematical simulation or the like, and the sum of products of the search indexes corresponding to the search engines and the corresponding influence values is used as a second weight value. The influence factor may represent the influence degree of different weight values on the comprehensive weight value of the film to be listed, and the specific value may be set according to actual needs, which is not specifically limited in the embodiments of the present specification.
For example: the public opinion data of the film to be filmed comprises a Sina microblog search index, a Teng microblog search index and a today's first search index of the film to be filmed, the Sina microblog search index is preset to be 0.3, the Teng microblog search index is 0.3 and the today's first search index is 0.4 through analyzing the influence of each search engine on a film box office, and a second weight value is the Sina microblog search index multiplied by 0.3+ the Teng microblog search index multiplied by 0.3+ the today's first search index multiplied by 0.4.
In the embodiment of the specification, big data analysis is performed by combining public opinion data, the heat of each film to be arranged is analyzed in a multi-dimensional manner, the priority of each film to be arranged is further more accurately determined, and an accurate data base is laid for the arrangement of the subsequent films to be arranged.
In some embodiments of the present disclosure, the user representation data includes: film type preference proportion distribution information and film area preference proportion distribution information of a user paying attention to the film to be arranged;
correspondingly, the determining a third weight value of each movie to be filmed according to the user portrait data in the movie related data includes:
determining a type preference ratio and a region preference ratio of the film to be filmed according to the user portrait data and the film type and the film region corresponding to the film to be filmed;
and determining a third weight value of the film to be arranged according to the type favor ratio and the area favor ratio of the film to be arranged.
In a specific implementation process, user portrait data of each movie to be filmed may be obtained from the cinema data service platform, where the user portrait data may be understood as attributes of a user who pays attention to the movie, such as gender, age, occupation, academic industry, and interest preference information of the user on a movie type, a movie area, an actor, and the like. In this embodiment, the user portrait data may include movie type preference proportion distribution information and movie area preference proportion distribution information of a user concerned with a movie to be filmed, and may also include other contents such as: gender proportion distribution information and the like, occupation proportion distribution information and the like. The movie type preference proportion distribution information may represent a proportion distribution of movie types preferred by a user who pays attention to the movie to be listed, such as: and (4) counting the favorite movie types of the users who pay attention to the movies to be listed, and counting the proportional distribution of favorite action types, adventure types, comedy types, drama types, love types, science fiction types and other user numbers to serve as movie type favorite proportion distribution information. The movie region preference ratio distribution information may indicate a ratio distribution of areas to which a movie favorite by a user who pays attention to the movie to be listed belongs, such as: and counting the area corresponding to the favorite film of the user concerning the film to be arranged, and counting the proportion distribution of the number of the users in favorite China mainland, China hong Kong, China Taiwan, the United states, Europe and other areas as the favorite proportion distribution information of the film area. The film type preference ratio distribution information and the film area preference ratio distribution information may be represented by a pie chart, a bar chart or other ratio charts, and the embodiments of the present specification are not particularly limited.
And determining the type favor ratio and the area favor ratio of the film to be arranged according to the film type favor ratio distribution information, the film area favor ratio distribution information and the film type and the film area corresponding to the film to be arranged. Such as: if the movie A to be arranged is an action movie, the area to which the movie A belongs is the continental China. After the film type preference ratio distribution information and the film area preference ratio distribution information of the user concerning the film A to be listed are obtained, the ratio of action films in the film type preference ratio distribution information of the user concerning the film A to be listed is 20%, the type preference ratio of the film A to be listed is 20%, the ratio of Chinese continental area films in the same film area preference ratio distribution information of the user concerning the film A to be listed is 30%, and the area preference ratio of the film A to be listed is 30%. According to the type preference ratio and the area preference ratio of the film to be arranged, comprehensively determining a fourth weight value corresponding to the film to be arranged, such as: the relationship between the intention to view the movie and the type of the favorite movie and the area of the favorite movie may be analyzed, and the calculation rule of the fourth weight value may be set. For example: the sum of the type preference ratio and the area preference ratio of the to-be-scheduled movie may be used as a fourth weight value, or the sum of the product of the type preference ratio and the area preference ratio of the to-be-scheduled movie and the corresponding influence value (which may represent the degree of influence of the type preference ratio and the area preference ratio on the attention of the movie of the user) may be used as a third weight value, which is not specifically limited in the embodiments of the present specification. In an embodiment of the present specification, the method for calculating the third weight value may be: the third weight value is 1000 × type preference ratio +1000 × regional preference ratio.
In the embodiment of the specification, the big data analysis is performed by combining the user portrait data concerning the film to be filmed, so that the heat degree of each film to be filmed is analyzed in a multi-dimensional manner, the priority of each film to be filmed is further more accurately determined, and an accurate data base is laid for the film arrangement of the subsequent film to be filmed.
On the basis of the above embodiment, in an embodiment of the present specification, the method may further include:
graphically displaying the film arrangement result of the film to be arranged;
accordingly, the method may further comprise:
and adjusting and storing the film arrangement result of the film to be arranged on the graphical display interface.
In a specific implementation process, the film arrangement result of the film to be arranged, which is obtained last, may be displayed on a display interface of the film arrangement processing system, such as: the film arrangement result can be graphically displayed on a display interface, specifically, the film arrangement result can be graphically displayed in a film distribution hall, and the film arrangement result can also be graphically displayed in time periods. The user can also adjust the film arrangement result on the graphical display interface and store the film arrangement result. Such as: change a certain scene of film-arrangement A in the film hall a into film-arrangement B.
In some embodiments of the present description, the scheduling result may be generated into scheduling data, that is, a data structure meeting a certain requirement is generated according to the scheduling result. The data structure can be in a json format, a plurality of photo halls can be contained in the single-day data, and the photo halls contain photo hall information and field information. An example of a single-day multiple photo hall data structure is as follows:
exporting the piece arranging data to a graphical piece arranging interface: and according to the film arrangement data, a graphical interface of the film arrangement period is displayed, and an administrator can modify the arrangement period and store the modified arrangement period in the film arrangement interface.
The embodiment of the specification can graphically display the film arrangement result, visually display the film arrangement condition of each film hall, and facilitate the checking and adjustment of a user. Moreover, the intelligent film arranging system based on big data analysis can combine the user portrait, the box office forecast, the public opinion and the real selling data to carry out big data analysis, carry out intellectualized, automatic and differentiated film arrangement, not only can liberate productivity on manpower, improve the rationality of film arrangement, but also can improve the revenues level of the cinema.
Fig. 4 is a schematic flow chart of a movie scheduling data processing method in another embodiment of the present disclosure, and as shown in fig. 4, the movie scheduling data processing method provided in some embodiments of the present disclosure may be applied to a movie scheduling data collection server, where the server may be one or more servers, and the server is mainly configured to perform the following processes:
In a specific implementation process, the movie scheduling data acquisition server may acquire movie analysis data of a movie to be scheduled and historical box-office income data of the movie to be scheduled through a cinema data service platform or data platforms such as various large search engines. For the specific content of the movie analysis data, reference may be made to the description of the above embodiments, and details are not repeated here.
In a specific implementation process, after the movie arranging data acquisition server acquires movie analysis data of a movie to be arranged and historical box office income data of a movie cinema to be arranged, the acquired data can be sent to the movie arranging data processing terminal. The film arranging data processing terminal can determine the priority and the field range of each film to be arranged according to the received data analysis, determine the quality distribution of the cinema hall and the golden time period distribution of the cinema to be arranged, further carry out film arranging processing on the film to be arranged based on the priority and the field range of the film to be arranged and the quality distribution of the cinema to be arranged and the golden time period distribution of the cinema to be arranged, and generate the film arranging result of the film to be arranged. The specific process of generating the film arrangement result by the data processing performed by the film arrangement data processing terminal may refer to the description of the above embodiments, and is not described herein again.
In the embodiment of the description, the movie arrangement data acquisition server is used for acquiring movie analysis data of different dimensions, and heat degree analysis is performed on each movie to be arranged based on the data of different dimensions, so that reasonable arrangement of the movies to be arranged is further realized.
In the present specification, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The relevant points can be obtained by referring to the partial description of the method embodiment.
Based on the above movie scheduling data processing method, one or more embodiments of the present specification further provide a movie scheduling data processing terminal. The terminal may include a system (including a distributed system), software (applications), modules, components, clients, etc. that use the methods described in the embodiments of the present specification in conjunction with any necessary hardware-implemented device. Based on the same innovative concept, the client in one or more embodiments provided by the embodiments of the present specification is as described in the following embodiments. Since the implementation scheme and method for solving the problem of the terminal are similar, the implementation of the terminal in the embodiment of the present specification 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 client described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
Specifically, fig. 5 is a schematic block diagram of an embodiment of a movie listing data processing terminal provided in this specification, and as shown in fig. 5, the movie listing data processing terminal provided in this specification may include: data receiving module 51, film priority determining module 52, film order determining module 53, cinema analyzing module 54, and film arranging module 55, wherein:
the data receiving module 51 may be configured to receive movie analysis data of a movie to be scheduled and historical box-office income data of a movie theater to be scheduled, where the movie analysis data includes single-day predicted box-office data and movie associated data of each movie to be scheduled, and the movie associated data includes: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
a film priority determining module 52, configured to determine a priority of each of the to-be-filmed films according to the film-related data;
a movie schedule determining module 53, configured to determine a schedule range corresponding to each movie to be scheduled according to the single-day predicted box office data of each movie to be scheduled;
the cinema analysis module 54 may be configured to determine, according to the historical box office income data of the cinema to be movie-listed, a movie hall quality distribution and a movie hall golden-time period distribution of the cinema to be movie-listed;
the film arranging module 55 may be configured to generate an arrangement result of the film to be arranged based on the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the auditorium, and the golden time period distribution of the auditorium.
In the method for processing movie film arrangement data provided in the embodiment of the present specification, the movie analysis data of each movie in the data platforms such as the cinema data service platform and the search engine are utilized to determine the priority order of each movie to be arranged. And performing box office prediction on the films to be arranged to determine the corresponding field range of each film to be arranged. Meanwhile, the quality and the golden period of the movie hall of the movie theatre to be arranged are analyzed, and the quality distribution and the golden period distribution of the movie hall of the movie theatre to be analyzed are determined. And (4) integrating the priority and the field range of the film to be arranged, the quality distribution and the golden time period distribution of the film hall of the cinema to be analyzed, and arranging the film of each film to be arranged. Based on big data analysis, the heat degree of each film and the quality distribution and the golden period of cinema movie theatres are synthesized, the film arrangement is realized intelligently, automatically and differentially, and the reasonability and the flexibility of the film arrangement are improved.
On the basis of the foregoing embodiments, in some embodiments of this specification, the movie priority determination module is specifically configured to:
determining a first weight value of each film to be arranged according to heat data in the film associated data;
determining a second weighted value of each film to be arranged according to public sentiment data in the film associated data;
determining a third weight value of each film to be filmed according to user portrait data in the film associated data;
determining the priority of each movie to be listed based on at least one of the first weight value, the second weight value and the third weight value.
Fig. 6 is a schematic structural diagram of a movie arrangement data processing terminal in another embodiment of the present specification, and as shown in fig. 6, on the basis of the foregoing embodiment, in some embodiments of the present specification, the terminal further includes:
the user-defined weight configuration module 61 is used for configuring a fourth weight value of each film to be listed in a user-defined manner;
accordingly, the movie priority determination module 52 is specifically configured to:
determining a comprehensive weight value of each film to be listed according to the first weight value and the fourth weight value;
and determining the priority of each film to be listed according to the magnitude of the comprehensive weight value.
In the embodiment of the specification, the user can configure each weight value of the film to be arranged in a user-defined manner, and the priority of each film to be arranged can be adjusted by combining the user-defined weight value, so that the adjustment of the film arrangement data of the film to be arranged is realized, the final film arrangement result is more in line with the user requirement, and the film arrangement rationality is improved.
It should be noted that the above description of the terminal according to the method embodiment may also include other embodiments. The specific implementation manner may refer to the description of the above corresponding method embodiment, and is not described in detail herein.
Some embodiments of the present specification further provide a movie ordering data collection server, including:
the data acquisition module is used for acquiring film analysis data of a film to be filmed and historical box office income data of a cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
and the data sending module is used for sending the film analysis data and the historical box office income data to a film arranging data processing terminal so that the film arranging data processing terminal generates the film arranging result of the film to be arranged according to the film analysis data and the historical box office income data.
The server and the movie film arrangement data processing terminal analyze and process data with different dimensions, and the specific process of generating the film arrangement result refers to the description of the above embodiments, which is not described herein again.
An embodiment of the present specification further provides a movie film arrangement data processing system, fig. 7 is a schematic structural diagram of the movie film arrangement data processing system in an embodiment of the present specification, and as shown in fig. 7, the movie film arrangement data processing system provided in the embodiment of the present specification may include: a movie arrangement data processing client 701 and at least one movie arrangement data acquisition server 802;
the movie film arrangement data acquisition server 702 is configured to acquire movie analysis data of a movie to be arranged and historical box office income data of the movie to be arranged from a cinema data service platform and a search engine, and send the acquired data to the movie film arrangement data processing client, where the movie analysis data includes single-day prediction box office data and movie associated data of each movie to be arranged, and the movie associated data includes: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
the movie film arrangement data processing client 701 comprises a data receiving device 7011 and a processor 7012, wherein the data receiving device 7011 is used for receiving movie analysis data acquired by a movie film arrangement data acquisition server and historical box office income data of a movie theater to be arranged, the processor 7012 is used for determining the priority and the field range of movies to be arranged, the auditorium quality distribution and the auditorium golden time period distribution of the movie theater to be arranged according to the data acquired by the movie film arrangement data acquisition server, and generating the film arrangement result of the movies to be arranged based on the priority of the movies to be arranged, the field range corresponding to the movies to be arranged, the auditorium quality distribution and the auditorium golden time period distribution.
The movie film arrangement data processing client may be a mobile phone client, a tablet computer or a PC end, or a film arrangement client of a cinema, and the like, and the embodiment of the present specification is not particularly limited.
The specific method for determining the priority of the movies to be scheduled and the method for determining the quality distribution and prime time period distribution of the movie hall at the client can refer to the description of the above method embodiment, and are not described herein again.
After the client generates the film arranging result, the film arranging result can be sent to a specified terminal, such as: as shown in fig. 7, the client of the theater manager may further include a display 7013 for graphically displaying the film arrangement result of the film to be arranged, and adjusting the film arrangement result of the film to be arranged on the graphical display interface according to the received adjustment instruction.
Referring to the description of the method embodiment, in the movie ranking method provided in the embodiment of the present disclosure, a user may customize a weight value of each movie to be ranked according to needs, and therefore, as shown in fig. 7, the client may further include an input device 7014 configured to receive a weight value of a movie to be ranked input by the user;
correspondingly, the processor 7012 is further configured to determine the priority of each movie to be listed according to the weight value of the movie to be listed received by the input device 7014 and the collected movie analysis data of the movie to be listed.
It should be noted that the above-mentioned client may also include other implementation manners according to the description of the method embodiment. The specific implementation manner may refer to the description of the above corresponding method embodiment, and is not described in detail herein.
An embodiment of the present specification further provides a movie arrangement data processing apparatus, including: at least one processor and a memory for storing processor-executable instructions, wherein the processor, when executing the instructions, implements the method for processing movie scheduling data in the above embodiments, such as:
receiving film analysis data of a film to be filmed and historical box office income data of a cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
determining the priority of each film to be filmed according to the film associated data;
according to the single-day forecast box office data of each film to be arranged, determining the corresponding field range of each film to be arranged;
determining the quality distribution and golden time period distribution of the movie hall of the movie theatre to be arranged according to the historical box office income data of the movie theatre to be arranged;
and generating a film arrangement result of the film to be arranged based on the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the film hall and the golden period distribution of the film hall.
It should be noted that the above-mentioned processing device may also include other implementations according to the description of the method embodiment. The specific implementation manner may refer to the description of the above corresponding method embodiment, and is not described in detail herein.
The movie scheduling data processing client or processing device or system provided by the present specification can also be applied to various data analysis processing systems. The system or apparatus or processing device may comprise any one of the movie listing data processing apparatus in the above embodiments. The system or apparatus or processing device may be a single server, or may include a server cluster, a system (including a distributed system), software (applications), an actual operation device, a logic gate device, a quantum computer, etc. using one or more of the methods or one or more of the embodiments of the present disclosure, and a terminal device incorporating necessary hardware for implementation. The system for checking for discrepancies may comprise at least one processor and a memory storing computer-executable instructions that, when executed by the processor, implement the steps of the method of any one or more of the embodiments described above.
The method embodiments provided by the embodiments of the present specification can be executed in a mobile terminal, a computer terminal, a server or a similar computing device. Taking an example of the server running on a server, fig. 8 is a block diagram of a hardware structure of a movie screening data processing server in an embodiment of the present specification, where the server may be a movie screening data processing apparatus, a movie screening data processing device, or a system in the above-described embodiment. As shown in fig. 8, the server 10 may include one or more (only one shown) processors 100 (the processors 100 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 200 for storing data, and a transmission module 300 for communication functions. It will be understood by those skilled in the art that the structure shown in fig. 8 is merely an illustration and is not intended to limit the structure of the electronic device. For example, the server 10 may also include more or fewer components than shown in FIG. 8, and may also include other processing hardware, such as a database or multi-level cache, a GPU, or have a different configuration than shown in FIG. 8, for example.
The memory 200 may be used to store software programs and modules of application software, such as program instructions/modules corresponding to the movie scheduling data processing method in the embodiment of the present specification, and the processor 100 executes various functional applications and resource data updates by executing the software programs and modules stored in the memory 200. Memory 200 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, memory 200 may further include memory located remotely from processor 100, which may be connected to a computer terminal through 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 300 is used for receiving or transmitting 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. In one example, the transmission module 300 includes a Network adapter (NIC) that can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission module 300 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The method or apparatus provided by the present specification and described in the foregoing embodiments may implement service logic through a computer program and record the service logic on a storage medium, where the storage medium may be read and executed by a computer, so as to implement the effect of the solution described in the embodiments of the present specification.
The storage medium may include a physical device for storing information, and typically, the information is digitized and then stored using an electrical, magnetic, or optical media. The storage medium may include: devices that store information using electrical energy, such as various types of memory, e.g., RAM, ROM, etc.; devices that store information using magnetic energy, such as hard disks, floppy disks, tapes, core memories, bubble memories, and usb disks; devices that store information optically, such as CDs or DVDs. Of course, there are other ways of storing media that can be read, such as quantum memory, graphene memory, and so forth.
The method or apparatus for processing movie scheduling data provided in the embodiments of the present specification may be implemented in a computer by a processor executing corresponding program instructions, for example, implemented in a PC using a c + + language of a windows operating system, implemented in a linux system, or implemented in an intelligent terminal using android and iOS system programming languages, or implemented in processing logic based on a quantum computer.
It should be noted that descriptions of the apparatus, the computer storage medium, and the system described above according to the related method embodiments may also include other embodiments, and specific implementations may refer to descriptions of corresponding method embodiments, which are not described in detail herein.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to only the partial description of the method embodiment.
The embodiments of the present description are not limited to what must be consistent with industry communications standards, standard computer resource data updating and data storage rules, or what is described in one or more embodiments of the present description. Certain industry standards, or implementations modified slightly from those described using custom modes or examples, may also achieve the same, equivalent, or similar, or other, contemplated implementations of the above-described examples. The embodiments using the modified or transformed data acquisition, storage, judgment, processing and the like can still fall within the scope of the alternative embodiments of the embodiments in this specification.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Although one or more embodiments of the present description provide method operational steps as described in the embodiments or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive approaches. 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 the device or the end product in practice executes, it can execute sequentially or in parallel according to the method shown in the embodiment or the figures (for example, in the environment of parallel processors or multi-thread processing, even in the environment of distributed resource data update). The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded. The terms first, second, etc. are used to denote names, but not any particular order.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, when implementing one or more of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, etc. The above-described embodiments of the apparatus 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 be in an electrical, mechanical or other form.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable resource data updating apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable resource data updating apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable resource data update apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable resource data update apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage, graphene storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
One or more embodiments of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the present specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, and the relevant points can be referred to only part of the description of the method embodiments. In the description of the specification, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is merely exemplary of one or more embodiments of the present disclosure and is not intended to limit the scope of one or more embodiments of the present disclosure. Various modifications and alterations to one or more embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of the present specification should be included in the scope of the claims.
Claims (19)
1. A method for processing movie film arrangement data is characterized by comprising the following steps:
receiving film analysis data of a film to be filmed and historical box office income data of a cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed; determining the priority of each film to be filmed according to the film associated data;
according to the single-day forecast box office data of each film to be arranged, determining the corresponding field range of each film to be arranged;
determining the quality distribution and golden time period distribution of the movie hall of the movie theatre to be arranged according to the historical box office income data of the movie theatre to be arranged;
and generating a film arrangement result of the film to be arranged based on the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the film hall and the golden period distribution of the film hall.
2. The method according to claim 1, wherein said determining the priority of each of said movies to be listed based on said movie associated data comprises:
determining a first weight value of each film to be arranged according to heat data in the film associated data;
determining a second weighted value of each film to be arranged according to public sentiment data in the film associated data;
determining a third weight value of each film to be filmed according to user portrait data in the film associated data;
determining the priority of each movie to be listed based on at least one of the first weight value, the second weight value and the third weight value.
3. The method of claim 2, wherein determining the priority of each of the movies to be listed based on at least one of the first weight value, the second weight value, and the third weight value comprises:
presetting weight coefficients corresponding to the first weight value, the second weight value and the third weight value;
calculating the sum of the products of the first weight value, the second weight value and the third weight value and the corresponding weight coefficients respectively as a comprehensive weight value of the film to be arranged;
and determining the priority of the film to be arranged according to the magnitude of the comprehensive weight value.
4. The method of claim 1, wherein the method further comprises:
the fourth weight value of each film to be arranged is configured in a user-defined mode;
correspondingly, the determining the priority of each movie to be listed according to the movie associated data includes:
determining a comprehensive weight value of each film to be arranged according to the film associated data and the fourth weight value;
and determining the priority of each film to be listed according to the magnitude of the comprehensive weight value.
5. The method of claim 2, wherein the user representation data comprises: film type preference proportion distribution information and film area preference proportion distribution information of a user paying attention to the film to be arranged;
correspondingly, the determining a third weight value of each movie to be filmed according to the user portrait data in the movie related data includes:
determining a type preference ratio and a region preference ratio of the film to be filmed according to the user portrait data and the film type and the film region corresponding to the film to be filmed;
and determining a third weight value of the film to be arranged according to the type favor ratio and the area favor ratio of the film to be arranged.
6. The method of claim 2, wherein the heat data comprises: the number of people wanting to watch the movie to be filmed and the corresponding heat index of the movie to be filmed in different network platforms are determined in the cinema data service platform;
correspondingly, the determining a first weight value of each movie to be listed according to the heat data in the associated movie data includes:
presetting influence values respectively corresponding to the number of people wanting to watch the film and the heat indexes of different network platforms;
and calculating the sum of the product of the number of people who want to watch the movie and the corresponding influence value and the product of the corresponding heat index and the corresponding influence value of the movie to be listed in different network platforms, and taking the calculation result as the first weight value.
7. The method according to claim 1, wherein the determining the range of the scenes corresponding to each of the movies to be scheduled according to the predicted single-day box office data of each of the movies to be scheduled comprises:
determining single-day comprehensive prediction box office data of all the films to be arranged according to the single-day prediction box office data of all the films to be arranged;
determining the ratio of the cinema box rooms of each film to be arranged according to the single-day predicted box room data and the single-day comprehensive predicted box room data of each film to be arranged;
and calculating the product of the single-day predicted box office data of the film to be arranged and the corresponding cinema box office ratio, and dividing the product by the film single-site income of the film to be arranged, and taking the calculation result as the corresponding field range of the film to be arranged.
8. The method of claim 1, wherein determining the auditorium quality profile and auditorium golden time period profile for a cinema to be scheduled based on historical box-office revenue data for the cinema to be scheduled comprises:
according to the historical box office income data of the cinema to be arranged, income curves of each cinema hall of the cinema to be arranged at different time in a single day are determined;
and determining the quality distribution and the golden time period distribution of the photo halls according to the income curves of the photo halls at different times in a single day.
9. The method of claim 1, wherein the generating the film arrangement result of the film to be arranged based on the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the studio, and the prime time period distribution of the studio comprises:
arranging the film to be arranged with high priority in the prime time period of the film hall with high quality, wherein the field number of the film to be arranged is more than or equal to the lowest field number of the field number range corresponding to the film to be arranged, and generating the film arrangement result of the film to be arranged.
10. The method of claim 1, wherein the method further comprises:
graphically displaying the film arrangement result of the film to be arranged;
accordingly, the method further comprises:
and adjusting and storing the film arrangement result of the film to be arranged on the graphical display interface.
11. A method for processing movie film arrangement data is characterized by comprising the following steps:
acquiring film analysis data of a film to be filmed and historical box office income data of a cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
and sending the film analysis data and the historical box office income data to a film arranging data processing terminal so that the film arranging data processing terminal generates a film arranging result of the film to be arranged according to the film analysis data and the historical box office income data.
12. A movie ordering data processing terminal, comprising:
the data receiving module is used for receiving film analysis data of the film to be filmed and historical box office income data of the film cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
a film priority determining module, configured to determine, according to the film-related data, a priority of each of the to-be-filmed films;
the film field determining module is used for predicting box office data according to the single day of each film to be filmed and determining the field range corresponding to each film to be filmed;
the cinema analysis module is used for determining the quality distribution and the golden time period distribution of the movie hall of the movie theatre to be arranged according to the historical box office income data of the movie theatre to be arranged;
and the film arranging module is used for generating the film arranging result of the film to be arranged based on the priority of the film to be arranged, the corresponding field range of the film to be arranged, the quality distribution of the film hall and the golden period distribution of the film hall.
13. The terminal of claim 12, wherein the movie priority determination module is specifically configured to:
determining a first weight value of each film to be arranged according to heat data in the film associated data;
determining a second weighted value of each film to be arranged according to public sentiment data in the film associated data;
determining a third weight value of each film to be filmed according to user portrait data in the film associated data;
determining the priority of each movie to be listed based on at least one of the first weight value, the second weight value and the third weight value.
14. The terminal of claim 12, wherein the terminal further comprises:
the user-defined weight configuration module is used for configuring a fourth weight value of each film to be arranged in a user-defined manner;
correspondingly, the movie priority determination module is specifically configured to:
determining a comprehensive weight value of each film to be arranged according to the film associated data and the fourth weight value;
and determining the priority of each film to be listed according to the magnitude of the comprehensive weight value.
15. A movie ordering data collection server, comprising:
the data acquisition module is used for acquiring film analysis data of a film to be filmed and historical box office income data of a cinema to be filmed, wherein the film analysis data comprises single-day prediction box office data and film associated data of each film to be filmed, and the film associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
and the data sending module is used for sending the film analysis data and the historical box office income data to a film arranging data processing terminal so that the film arranging data processing terminal generates the film arranging result of the film to be arranged according to the film analysis data and the historical box office income data.
16. A film arrangement data processing system, comprising: the system comprises a movie film arrangement data processing client and at least one movie film arrangement data acquisition server;
the movie film arrangement data acquisition server is used for acquiring movie analysis data of a movie to be arranged and historical box office income data of the movie to be arranged from a cinema data service platform and a search engine, and sending the acquired data to the movie film arrangement data processing client, wherein the movie analysis data comprises single-day prediction box office data and movie associated data of the movie to be arranged, and the movie associated data comprises: at least one of popularity data, public opinion data and user portrait data of each film to be filmed;
the movie film arrangement data processing client comprises a data receiving device and a processor, wherein the data receiving device is used for receiving movie analysis data collected by the movie film arrangement data collection server and historical box office income data of a movie theater to be arranged, the processor is used for determining the priority and the field range of the movie film to be arranged, the quality distribution of a movie hall and the golden period distribution of the movie hall of the movie theater to be arranged according to the data collected by the movie film arrangement data collection server, and generating the film arrangement result of the movie film to be arranged based on the priority of the movie film to be arranged, the field range corresponding to the movie film to be arranged, the quality distribution of the movie hall and the golden period distribution of the movie hall.
17. The system of claim 16, wherein the movie scheduling data processing client comprises a display for graphically displaying the scheduling result of the movie to be scheduled, and adjusting the scheduling result of the movie to be scheduled in the graphical display interface according to the received adjustment instruction.
18. The system of claim 16, wherein the movie listing data processing client comprises:
the input equipment is used for receiving a weight value of the film to be arranged input by a user;
correspondingly, the processor is further configured to determine the priority of each film to be filmed according to the weight value of the film to be filmed received by the input device and the collected film analysis data of the film to be filmed.
19. A movie film arrangement data processing apparatus, comprising: at least one processor and a memory for storing processor-executable instructions, the processor implementing the method of any one of claims 1-10 when executing the instructions.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113395543A (en) * | 2021-05-24 | 2021-09-14 | 红岚文化传播(上海)有限公司 | Multi-film code analysis detection system capable of being supported |
| CN117290601A (en) * | 2023-10-10 | 2023-12-26 | 广州睿自游信息科技有限公司 | Movie recommendation method and related system combined with ticket purchasing record |
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| CN113395543B (en) * | 2021-05-24 | 2024-03-29 | 红岚文化传播(上海)有限公司 | Analysis and detection system capable of supporting multi-film coding |
| CN117290601A (en) * | 2023-10-10 | 2023-12-26 | 广州睿自游信息科技有限公司 | Movie recommendation method and related system combined with ticket purchasing record |
| CN117290601B (en) * | 2023-10-10 | 2024-03-08 | 广州睿自游信息科技有限公司 | Movie recommendation method and related system combined with ticket purchasing record |
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