CN109726846A - Movable box office prediction technique and device - Google Patents
Movable box office prediction technique and device Download PDFInfo
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- CN109726846A CN109726846A CN201711052014.8A CN201711052014A CN109726846A CN 109726846 A CN109726846 A CN 109726846A CN 201711052014 A CN201711052014 A CN 201711052014A CN 109726846 A CN109726846 A CN 109726846A
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Abstract
Activity box office prediction technique provided by the invention and device, obtain the information of goal activities, according to the information of goal activities, obtain at least one keyword relevant to goal activities；Obtain the searching times of each keyword at least one described keyword；According to the searching times of each keyword, target temperature is determined；Wherein, the target temperature is the activity temperature of the goal activities；According to the incidence relation between the target temperature and pre-stored activity temperature and practical box office, the dynamic prediction box office in the prediction box office of the goal activities is determined.Technical solution of the present invention is sufficiently used the interest orientation that user is showed in search process during prediction, avoids interference of the features such as movable type, time, place, environment to prediction result, improves the accuracy of prediction result.
Description
Technical field
The present invention relates to field of information processing, more specifically, being related to movable box office prediction technique and device.
Background technique
Currently, the activity side of holding is before activity of holding or progress product are sold, being generally desirable to can be movable to this
Box office is predicted, to provide guidance for subsequent every behavior relevant to the activity, behave.
Traditional movable box office prediction scheme passes through largely going through for historical act usually by the way of machine learning
History data establish the incidence relation between the type, issuing time and the practical box office of historical act of historical act, and structure whereby
Corresponding prediction model is made, the prediction model is finally based on, according to movable type and issuing time that future will hold, in advance
Survey the box office data that the activity that will be held may reach.But the same movable publication might have different hairs
Cloth place, different issuing times, different publication environment and different backgrounds, and use traditional scheme according to activity
Type and issuing time when coming foresight activity box office, will receive interference of the above many uncertainties to prediction result, thus
The accuracy that will lead to prediction result is lower.
Therefore, there is an urgent need to a kind of technical solutions that can be improved movable box office forecasting accuracy at present.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind
State the movable box office prediction technique and device of problem.
To achieve the above object, the invention provides the following technical scheme:
A kind of activity box office prediction technique, comprising:
Obtain the information of goal activities；
According to the information of the goal activities, at least one keyword relevant to the goal activities is obtained；
Obtain the searching times of each keyword at least one described keyword；
According to the searching times of each keyword, target temperature is determined；Wherein, the target temperature is living for the target
Dynamic activity temperature；
According to the incidence relation between the target temperature and pre-stored activity temperature and practical box office, determine described in
The prediction box office of goal activities.
Preferably, the incidence relation between the activity temperature and practical box office is the activity temperature according to historical act
And the practical box office determination of the historical act.
Preferably, the searching times of each keyword include: at least one keyword described in the acquisition
Obtain the searching times of at least one object content, at least one described object content at least one described pass
Any keyword in keyword is corresponding；
According to the searching times of at least one object content, the searching times of any keyword are determined.
Preferably, the searching times for obtaining at least one object content include:
From at least one third party's search platform, the searching times of at least one object content are obtained.
Preferably, the searching times according to each keyword determine that target temperature includes:
Count searching times of any keyword respectively in N number of time interval before activity starts；Wherein, N > 1, it is described
Each time interval in N number of time interval has respectively corresponded a weight；
According to any keyword searching times in N number of time interval respectively, and, each time zone
Between corresponding weight, determine the temperature of any keyword；
According to the temperature of each keyword, target temperature is determined.
Preferably, in N number of time interval, i+1 time interval is later than i-th of time interval, and, described
The weight of i+1 time interval is greater than the weight of i-th of time interval, 1≤i≤N-1.
Preferably, described according to being associated between the target temperature and pre-stored activity temperature and practical box office
System, determines that the prediction box office of the goal activities includes:
In incidence relation between pre-stored activity temperature and practical box office, search opposite with the target temperature
The practical box office answered；
Practical box office corresponding with the target temperature is determined as to the prediction box office of the goal activities.
A kind of activity box office prediction meanss, comprising:
Information acquisition unit, for obtaining the information of goal activities；
Keyword acquiring unit, for the information according to the goal activities, acquisition is relevant to the goal activities extremely
A few keyword；
Searching times acquiring unit, for obtaining the searching times of each keyword at least one described keyword；
Temperature determination unit determines target temperature for the searching times according to each keyword；Wherein, the mesh
Mark the activity temperature that temperature is the goal activities；
Box office predicting unit, for according between the target temperature and pre-stored activity temperature and practical box office
Incidence relation determines the prediction box office of the goal activities.
A kind of storage medium, the storage medium include the program of storage, wherein in described program operation described in control
Equipment executes any of the above-described activity box office prediction technique where storage medium.
A kind of processor, the processor is for running program, wherein it is living that any of the above-described is executed when described program is run
Dynamic box office prediction technique.
By above-mentioned technical proposal, activity box office prediction technique and device provided by the invention, according to goal activities phase
The searching times of each keyword at least one keyword closed, to determine the activity temperature of goal activities, and according to target heat
Degree, the incidence relation between combining movement temperature and practical box office determine the prediction box office of the goal activities, are predicting whereby
Be sufficiently used the interest orientation that user is showed in search process in the process, avoid movable type, the time,
Interference of the features such as point, environment to prediction result, improves the accuracy of prediction result.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 is a kind of flow chart of movable box office prediction technique provided by the embodiments of the present application；
Fig. 2 is another flow chart of movable box office prediction technique provided by the embodiments of the present application；
Fig. 3 is another flow chart of movable box office prediction technique provided by the embodiments of the present application；
Fig. 4 is another flow chart of movable box office prediction technique provided by the embodiments of the present application；
Fig. 5 is a kind of structural schematic diagram of movable box office prediction meanss provided by the embodiments of the present application；
Fig. 6 is another structural schematic diagram of movable box office prediction meanss provided by the embodiments of the present application；
Fig. 7 is another structural schematic diagram of movable box office prediction meanss provided by the embodiments of the present application；
Fig. 8 is the yet another construction schematic diagram of movable box office prediction meanss provided by the embodiments of the present application.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Referring to Fig. 1, Fig. 1 is a kind of flow chart of movable box office prediction technique provided by the embodiments of the present application.
As shown in Figure 1, which comprises
S101: the information of goal activities is obtained；
Activity includes all kinds of activities such as new product sales exhibition, movie show, theatre acting, concert, and the activity side of holding is in work
Before dynamic beginning, it is often desirable that can predict the movable box office situation.In the present invention, goal activities are then to be wanted
The activity of box office prediction, such as the following a certain activity that will carry out are carried out, or, certain several activity.
The information of goal activities refers to information relevant to goal activities, as the content information of goal activities, type information,
Label information, performing artist's information, in author information at least one of.
S102: according to the information of the goal activities, at least one keyword relevant to the goal activities is obtained.
From the information of goal activities, at least one keyword relevant to goal activities, the keyword can be extracted
For retrieving the goal activities.
S103: the searching times of each keyword at least one described keyword are obtained.
User reflects user to the degree of concern of the keyword, also from the user to the searching times of any keyword
Angle reflects the temperature of the keyword.
In practical applications, the searching times of any keyword can be directly determined as to the temperature of the keyword；It can also
To calculate the temperature of the keyword according to default computation rule according to the searching times of any keyword.
S104: according to the searching times of each keyword, target temperature is determined.
Wherein, the target temperature is the activity temperature of the goal activities.Since the searching times of keyword reflect
The temperature of the keyword, and the temperature of all keywords relevant to goal activities, then can reflect the activity of the goal activities
Temperature.So being capable of determining that the activity temperature of goal activities according to the searching times of each keyword.
S105: according to the incidence relation between the target temperature and pre-stored activity temperature and practical box office, really
The prediction box office of the fixed goal activities.
According to the incidence relation between activity temperature and practical box office, and, the activity temperature of goal activities can be from institute
It states in incidence relation, determines that practical box office corresponding with the activity temperature of goal activities, the practical box office determined are
The prediction box office of the goal activities.
In one example, the incidence relation between the activity temperature and practical box office is the activity according to historical act
What the practical box office of temperature and the historical act determined.By taking goal activities as an example, target temperature is first obtained, then work as goal activities
After end, count the practical box office of the goal activities, establish the goal activities practical box office and the goal activities
Activity temperature between incidence relation, and save the incidence relation, provided for other following movable box offices predictions corresponding
It supports.
It in another example, can also be by the prediction ticket of goal activities after determining the prediction box office of goal activities
Room, when predicting box office not up to expected box office, prompts user to adjust goal activities compared with the expection box office of goal activities
Promotion Strategy, such as increase relevant to goal activities advertisement dispensing dynamics and propaganda strength.
Activity box office provided in this embodiment prediction technique, according to each at least one keyword relevant to goal activities
The searching times of keyword, to determine the activity temperature of goal activities, and according to target temperature, combining movement temperature and practical ticket
Incidence relation between room determines the prediction box office of the goal activities, is sufficiently used user during prediction whereby
The interest orientation showed in search process avoids the features such as movable type, time, place, environment to prediction result
Interference, improve the accuracy of prediction result.
Moreover, because many data informations such as type, time, place, the environment of the present invention without collection activity, so keeping away
Exempt from the complicated processes being acquired to a variety of data, reduces the expense of data acquisition；Also, the present invention is by user
The real-time of search behavior can get the most new search data of each keyword relevant to goal activities, so that in advance
It is more accurate to survey result, and there is stronger timeliness.
Referring to Fig. 2, Fig. 2 is another flow chart of movable box office prediction technique provided by the embodiments of the present application.
As shown in Figure 2, which comprises
S201: the information of goal activities is obtained；
S202: according to the information of the goal activities, at least one keyword relevant to the goal activities is obtained.
Step S201-S202 is similar with the step S101-S102 in previous embodiment, and for details, reference can be made to aforementioned implementations
Example, details are not described herein.
S203: the searching times of at least one object content are obtained.
Wherein, at least one described object content is corresponding with any keyword at least one described keyword.
User when searching for content relevant to goal activities, may can't directly removal search it is relevant to goal activities
Keyword, but object content relevant to the keyword can be searched for.Wherein, object content is related to keyword, can refer to
There is default corresponding relationship between object content and keyword, may also mean that comprising the keyword in object content, i.e., at least
It is inclusion relation between one object content and any keyword.
For example, any keyword is " Mars ", then it is " Mars " corresponding at least one object content packet with keyword
Include " returning to Mars ", " trip to Mars " and " Mars Exploration " etc..
In one example, the step S202 includes:
From at least one third party's search platform, the searching times of at least one object content are obtained.
Currently, common search platform has very much, most of search platforms can provide corresponding API all for application developer
(Application Programming Interface, application programming interface) interface is used to obtain from search platform
Information is searched at family, as described in the present invention the searching times of object content.
In this example, at least one object content can be obtained from multiple and different third party's search platforms
Searching times, to keep data source more abundant, data information more enriches, and also can be further improved the accurate of prediction result
Property.
S204: according to the searching times of at least one object content, the searching times of any keyword are determined.
In one example, the searching times of each object content is averaged at least one object content described in can calculating
Value, weighted average or median, and calculated result is determined as to the searching times of any keyword.
In other examples, can also according to the searching times of at least one object content, using other modes come
The searching times of any keyword are calculated, herein and without limitation.
Wherein, step S203-S204 can be used for realizing the step S103 in previous embodiment.Obtain any keyword
Searching times, the searching times of each keyword at least one described keyword can be obtained.
S205: according to the searching times of each keyword, target temperature is determined.
Wherein, the target temperature is the activity temperature of the goal activities；
S206: according to the incidence relation between the target temperature and pre-stored activity temperature and practical box office, really
The prediction box office of the fixed goal activities.
Wherein, step S205-S206 is similar with the step S104-S105 in previous embodiment, and for details, reference can be made to aforementioned
Embodiment, details are not described herein.
Activity box office provided in this embodiment prediction technique, by obtaining at least one mesh corresponding with any keyword
The searching times of mark content enrich the acquisition side of keyword search number to determine the searching times of any keyword
Formula has enriched the data information got, for the mistake for predicting box office for determining goal activities according to the searching times of keyword
Journey provides sufficient data and supports, to improve the accuracy of prediction result.
Referring to Fig. 3, Fig. 3 is another flow chart of movable box office prediction technique provided by the embodiments of the present application.
As shown in Figure 3, which comprises
S301: the information of goal activities is obtained；
S302: according to the information of the goal activities, at least one keyword relevant to the goal activities is obtained.
S303: the searching times of each keyword at least one described keyword are obtained.
Wherein, step S301-S303 is similar with the step S101-S103 or S201-S204 in previous embodiment, specifically
It can be found in previous embodiment, details are not described herein.
S304: searching times of any keyword respectively in N number of time interval before activity starts are counted.
Wherein, N > 1, each time interval in N number of time interval have respectively corresponded a weight.
Before activity starts, same search number of the same keyword in different time intervals may represent difference
Be concerned degree.Therefore, the time before the present embodiment starts activity is divided into N number of time interval, and is each time zone
Between a weight is respectively set, characterize that each time interval reflected by the weight of each time interval is concerned degree.
Under normal circumstances, the search behavior of user is closed on activity and is started, and more can be shown that user to the movable pass
Note degree is higher.Therefore, in one example, can limit, in N number of time interval, i+1 time interval is later than
I time interval, and, the weight of the i+1 time interval is greater than the weight of i-th of time interval, 1≤i≤N-
1.That is, higher more the weight for the time interval for closing on activity beginning.Wherein, i and N is positive integer.
S305: according to any keyword searching times in N number of time interval respectively, and, it is described each
The corresponding weight of time interval determines the temperature of any keyword.
In one example, the temperature of any keyword is equal to keyword searching times in each time interval respectively
Weighted average.
It in other examples, can also be according to any keyword searching times in each time interval respectively, using it
His calculation, calculates the temperature of the keyword, is not specifically limited herein.
S306: according to the temperature of each keyword, target temperature is determined.
Wherein, the target temperature is the activity temperature of the goal activities.
In one example, target temperature is average value, weighted average or the median of the temperature of each keyword.
In practical applications, the either temperature of keyword or target temperature, can be carried out at data normalization
Reason, makes finally obtained target temperature standardized data, or, making finally obtained target temperature and movable box office prediction meanss
Activity temperature in the incidence relation of middle preservation has identical data dimension, in order to carry out the lookup, comparison and analysis of data.
Wherein, step S304-S306 can be used for realizing step S104 and S205 in previous embodiment.
S307: according to the incidence relation between the target temperature and pre-stored activity temperature and practical box office, really
The prediction box office of the fixed goal activities.
Wherein, step S307 is similar with the step S105 or S206 in previous embodiment, and for details, reference can be made to aforementioned implementations
Example, details are not described herein.
Activity box office provided in this embodiment prediction technique, the time before activity is started are divided into N number of time interval, and
A weight is assigned respectively for each time interval, counts any keyword searching in N number of time interval before activity starts respectively
Rope number, according to any keyword searching times in N number of time interval respectively, and, each time zone
Between corresponding weight, determine the temperature of any keyword, comprehensively considered same keyword in different time period
Identical searching times it is representative difference be concerned degree so that the temperature for the keyword for thereby determining that out is more quasi-
Really, and then the accuracy of target temperature and the accuracy of final prediction result are improved.
Referring to Fig. 4, Fig. 4 is another flow chart of movable box office prediction technique provided by the embodiments of the present application.
As shown in Figure 4, which comprises
S401: the information of goal activities is obtained；
S402: according to the information of the goal activities, at least one keyword relevant to the goal activities is obtained；
S403: the searching times of each keyword at least one described keyword are obtained.
S404: according to the searching times of each keyword, target temperature is determined.
Wherein, the target temperature is the activity temperature of the goal activities.
Wherein, step S401-S404 and step S101-S104, S201-S205 or S301-S306 in previous embodiment
Similar, for details, reference can be made to previous embodiments, and details are not described herein.
S405: it in the incidence relation between pre-stored activity temperature and practical box office, searches and the target heat
Spend corresponding practical box office.
In one example, the incidence relation includes: between at least one activity temperature and at least one practical box office
Incidence relation.It wherein, is one-to-one relationship between at least one activity temperature and at least one practical box office, alternatively, one
Practical box office is corresponding with multiple activity temperatures.
S406: practical box office corresponding with the target temperature is determined as to the prediction box office of the goal activities.
Wherein, step S405-S406 can be used for realizing step S105, S206 and S307 in previous embodiment.
Activity box office provided in this embodiment prediction technique, according to each at least one keyword relevant to goal activities
The searching times of keyword, to determine the activity temperature of goal activities, between pre-stored activity temperature and practical box office
Incidence relation in, search corresponding with the target temperature practical box office, will reality corresponding with the target temperature
Box office is determined as the prediction box office of the goal activities, and then obtains accurate prediction result.
Corresponding to movable box office prediction technique above-mentioned, the embodiment of the invention also provides corresponding movable box office prediction dresses
It sets, has the incidence relation between activity temperature and practical box office in described device.
Referring to Fig. 5, Fig. 5 is a kind of structural schematic diagram of movable box office prediction meanss provided by the embodiments of the present application.
As shown in figure 5, described device includes:
Information acquisition unit U101, for obtaining the information of goal activities；
The information of goal activities refers to information relevant to goal activities, as the content information of goal activities, type information,
Label information, performing artist's information, in author information at least one of.
Keyword acquiring unit U102 is obtained related to the goal activities for the information according to the goal activities
At least one keyword.
From the information of goal activities, at least one keyword relevant to goal activities, the keyword can be extracted
For retrieving the goal activities.
Searching times acquiring unit U103, for obtaining the searching times of each keyword at least one described keyword.
User reflects user to the degree of concern of the keyword, also from the user to the searching times of any keyword
Angle reflects the temperature of the keyword.
In practical applications, the searching times of any keyword can be directly determined as to the temperature of the keyword；It can also
To calculate the temperature of the keyword according to default computation rule according to the searching times of any keyword.
Temperature determination unit U104 determines target temperature for the searching times according to each keyword.
Wherein, the target temperature is the activity temperature of the goal activities.Since the searching times of keyword reflect
The temperature of the keyword, and the temperature of all keywords relevant to goal activities, then can reflect the activity of the goal activities
Temperature.So being capable of determining that the activity temperature of goal activities according to the searching times of each keyword.
Box office predicting unit U105, for according to the target temperature and pre-stored activity temperature and practical box office it
Between incidence relation, determine the prediction box office of the goal activities.
According to the incidence relation between activity temperature and practical box office, and, the activity temperature of goal activities can be from institute
It states in incidence relation, determines that practical box office corresponding with the activity temperature of goal activities, the practical box office determined are
The prediction box office of the goal activities.
In one example, the incidence relation between the activity temperature and practical box office is the activity according to historical act
What the practical box office of temperature and the historical act determined.
In another example, described device, can also be by goal activities after determining the prediction box office of goal activities
Prediction box office compared with the expection box office of goal activities, when predicting box office not up to expected box office, prompt user's adjustment
The Promotion Strategy of goal activities such as increases advertisement relevant to the goal activities and launches dynamics and propaganda strength.
Activity box office provided in this embodiment prediction meanss, according to each at least one keyword relevant to goal activities
The searching times of keyword, to determine the activity temperature of goal activities, and according to target temperature, combining movement temperature and practical ticket
Incidence relation between room determines the prediction box office of the goal activities, is sufficiently used user during prediction whereby
The interest orientation showed in search process avoids the features such as movable type, time, place, environment to prediction result
Interference, improve the accuracy of prediction result.
Referring to Fig. 6, Fig. 6 is another structural schematic diagram of movable box office prediction meanss provided by the embodiments of the present application.
As shown in fig. 6, the movable box office prediction meanss of the present embodiment, in addition to including the acquisition of information list in previous embodiment
First U101, keyword acquiring unit U102, searching times acquiring unit U103, temperature determination unit U104, box office predicting unit
U105, wherein searching times acquiring unit U103 includes:
Subelement U1031 is obtained, for obtaining the searching times of at least one object content.
Wherein, at least one described object content is corresponding with any keyword at least one described keyword.
User when searching for content relevant to goal activities, may can't directly removal search it is relevant to goal activities
Keyword, but object content relevant to the keyword can be searched for.Wherein, object content is related to keyword, can refer to
There is default corresponding relationship between object content and keyword, may also mean that comprising the keyword in object content, i.e., at least
It is inclusion relation between one object content and any keyword.
In one example, subelement U1031 is obtained to be specifically used for obtaining at least one from least one third party's search platform
The searching times of a object content.
In this example, at least one object content can be obtained from multiple and different third party's search platforms
Searching times, to keep data source more abundant, data information more enriches, and also can be further improved the accurate of prediction result
Property.
First determination unit U1032 is determined described any for the searching times according at least one object content
The searching times of keyword.
In one example, the searching times of each object content is averaged at least one object content described in can calculating
Value, weighted average or median, and calculated result is determined as to the searching times of any keyword.
In other examples, can also according to the searching times of at least one object content, using other modes come
The searching times of any keyword are calculated, herein and without limitation.
Activity box office provided in this embodiment prediction meanss, by obtaining at least one mesh corresponding with any keyword
The searching times of mark content enrich the acquisition side of keyword search number to determine the searching times of any keyword
Formula has enriched the data information got, for the mistake for predicting box office for determining goal activities according to the searching times of keyword
Journey provides sufficient data and supports, to improve the accuracy of prediction result.
Referring to Fig. 7, Fig. 7 is another structural schematic diagram of movable box office prediction meanss provided by the embodiments of the present application.
The movable box office prediction meanss of the present embodiment as shown in Figure 7, in addition to including the acquisition of information list in previous embodiment
First U101, keyword acquiring unit U102, searching times acquiring unit U103, temperature determination unit U104, box office predicting unit
U105, wherein temperature determination unit U104 includes:
Subelement U1041 is counted, for counting any keyword searching in N number of time interval before activity starts respectively
Rope number.
Wherein, N > 1, each time interval in N number of time interval have respectively corresponded a weight.
Before activity starts, same search number of the same keyword in different time intervals may represent difference
Be concerned degree.Therefore, the time before the present embodiment starts activity is divided into N number of time interval, and is each time zone
Between a weight is respectively set, characterize that each time interval reflected by the weight of each time interval is concerned degree.
Under normal circumstances, the search behavior of user is closed on activity and is started, and more can be shown that user to the movable pass
Note degree is higher.Therefore, in one example, can limit, in N number of time interval, i+1 time interval is later than
I time interval, and, the weight of the i+1 time interval is greater than the weight of i-th of time interval, 1≤i≤N-
1.That is, higher more the weight for the time interval for closing on activity beginning.
Second determination unit U1042, for according to any keyword search in N number of time interval respectively
Number, and, the corresponding weight of each time interval determines the temperature of any keyword.
In one example, the temperature of any keyword is equal to keyword searching times in each time interval respectively
Weighted average.
It in other examples, can also be according to any keyword searching times in each time interval respectively, using it
His calculation, calculates the temperature of the keyword, is not specifically limited herein.
Third determination unit U1043 determines target temperature for the temperature according to each keyword.
Wherein, the target temperature is the activity temperature of the goal activities.
In one example, target temperature is average value, weighted average or the median of the temperature of each keyword.
In practical applications, the either temperature of keyword or target temperature, can be by third determination unit
U1043 carries out data normalization processing, makes finally obtained target temperature standardized data, or, making finally obtained target
The activity temperature in incidence relation between temperature and pre-stored activity temperature and practical box office has identical data dimension,
In order to carry out the lookup, comparison and analysis of data.
Activity box office provided in this embodiment prediction meanss, the time before activity is started are divided into N number of time interval, and
A weight is assigned respectively for each time interval, counts any keyword searching in N number of time interval before activity starts respectively
Rope number, according to any keyword searching times in N number of time interval respectively, and, each time zone
Between corresponding weight, determine the temperature of any keyword, comprehensively considered same keyword in different time period
Identical searching times it is representative difference be concerned degree so that the temperature for the keyword for thereby determining that out is more quasi-
Really, and then the accuracy of target temperature and the accuracy of final prediction result are improved.
Referring to Fig. 8, Fig. 8 is the yet another construction schematic diagram of movable box office prediction meanss provided by the embodiments of the present application.
The movable box office prediction meanss of the present embodiment as shown in Figure 8, in addition to including the acquisition of information list in previous embodiment
First U101, keyword acquiring unit U102, searching times acquiring unit U103, temperature determination unit U104, box office predicting unit
U105, wherein box office predicting unit U105 includes:
Subelement U1051 is searched, for looking into the incidence relation between pre-stored activity temperature and practical box office
Look for practical box office corresponding with the target temperature.
In one example, the incidence relation includes: between at least one activity temperature and at least one practical box office
Incidence relation.It wherein, is one-to-one relationship between at least one activity temperature and at least one practical box office, alternatively, one
Practical box office is corresponding with multiple activity temperatures.
4th determination unit U1052, for practical box office corresponding with the target temperature to be determined as the target
Movable prediction box office.
Activity box office provided in this embodiment prediction meanss, according to each at least one keyword relevant to goal activities
The searching times of keyword in the incidence relation, are searched and the target temperature to determine the activity temperature of goal activities
Practical box office corresponding with the target temperature is determined as the prediction ticket of the goal activities by corresponding practical box office
Room, and then obtain accurate prediction result.
Activity box office provided in an embodiment of the present invention prediction meanss, including processor and memory, above- mentioned information obtain single
First U101, keyword acquiring unit U102, searching times acquiring unit U103, temperature determination unit U104, box office predicting unit
U105 and obtain subelement U1031, the first determination unit U1032, statistics subelement U1041, the second determination unit U1042,
Third determination unit U1043, lookup subelement U1051, the 4th determination unit U1052 etc. are stored in storage as program unit
In device, above procedure unit stored in memory is executed by processor to realize corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be set one
Or more, it is poor to solve movable box office forecasting accuracy in traditional movable box office prediction scheme by adjusting kernel parameter
Technical problem.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include that at least one is deposited
Store up chip.
The embodiment of the invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
The existing movable box office prediction technique.
The embodiment of the invention provides a kind of processor, the processor is for running program, wherein described program operation
Activity box office prediction technique described in Shi Zhihang.
The embodiment of the invention provides a kind of equipment, equipment include processor, memory and storage on a memory and can
The program run on a processor, processor perform the steps of when executing program
Obtain the information of goal activities；
According to the information of the goal activities, at least one keyword relevant to the goal activities is obtained；
Obtain the searching times of each keyword at least one described keyword；
According to the searching times of each keyword, target temperature is determined；Wherein, the target temperature is living for the target
Dynamic activity temperature；
According to the incidence relation between the target temperature and pre-stored activity temperature and practical box office, determine described in
The prediction box office of goal activities.
Preferably, the incidence relation between the activity temperature and practical box office is the activity temperature according to historical act
And the practical box office determination of the historical act.
Preferably, the searching times of each keyword include: at least one keyword described in the acquisition
Obtain the searching times of at least one object content, at least one described object content at least one described pass
Any keyword in keyword is corresponding；
According to the searching times of at least one object content, the searching times of any keyword are determined.
Preferably, the searching times for obtaining at least one object content include:
From at least one third party's search platform, the searching times of at least one object content are obtained.
Preferably, the searching times according to each keyword determine that target temperature includes:
Count searching times of any keyword respectively in N number of time interval before activity starts；Wherein, N > 1, it is described
Each time interval in N number of time interval has respectively corresponded a weight；
According to any keyword searching times in N number of time interval respectively, and, each time zone
Between corresponding weight, determine the temperature of any keyword；
According to the temperature of each keyword, target temperature is determined.
Preferably, in N number of time interval, i+1 time interval is later than i-th of time interval, and, described
The weight of i+1 time interval is greater than the weight of i-th of time interval, 1≤i≤N-1.
Preferably, described according to being associated between the target temperature and pre-stored activity temperature and practical box office
System, determines that the prediction box office of the goal activities includes:
In incidence relation between pre-stored activity temperature and practical box office, search opposite with the target temperature
The practical box office answered；
Practical box office corresponding with the target temperature is determined as to the prediction box office of the goal activities.
Equipment herein can be server, PC, PAD, mobile phone etc..
Present invention also provides a kind of computer program products, when executing on data processing equipment, are adapted for carrying out just
The program of beginningization there are as below methods step:
Obtain the information of goal activities；
According to the information of the goal activities, at least one keyword relevant to the goal activities is obtained；
Obtain the searching times of each keyword at least one described keyword；
According to the searching times of each keyword, target temperature is determined；Wherein, the target temperature is living for the target
Dynamic activity temperature；
According to the incidence relation between the target temperature and pre-stored activity temperature and practical box office, determine described in
The prediction box office of goal activities.
Preferably, the incidence relation between the activity temperature and practical box office is the activity temperature according to historical act
And the practical box office determination of the historical act.
Preferably, the searching times of each keyword include: at least one keyword described in the acquisition
Obtain the searching times of at least one object content, at least one described object content at least one described pass
Any keyword in keyword is corresponding；
According to the searching times of at least one object content, the searching times of any keyword are determined.
Preferably, the searching times for obtaining at least one object content include:
From at least one third party's search platform, the searching times of at least one object content are obtained.
Preferably, the searching times according to each keyword determine that target temperature includes:
Count searching times of any keyword respectively in N number of time interval before activity starts；Wherein, N > 1, it is described
Each time interval in N number of time interval has respectively corresponded a weight；
According to any keyword searching times in N number of time interval respectively, and, each time zone
Between corresponding weight, determine the temperature of any keyword；
According to the temperature of each keyword, target temperature is determined.
Preferably, in N number of time interval, i+1 time interval is later than i-th of time interval, and, described
The weight of i+1 time interval is greater than the weight of i-th of time interval, 1≤i≤N-1.
Preferably, described according to being associated between the target temperature and pre-stored activity temperature and practical box office
System, determines that the prediction box office of the goal activities includes:
In incidence relation between pre-stored activity temperature and practical box office, search opposite with the target temperature
The practical box office answered；
Practical box office corresponding with the target temperature is determined as to the prediction box office of the goal activities.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable Jie
The example of matter.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
There is also other identical elements in process, method, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The above is only embodiments herein, are not intended to limit this application.To those skilled in the art,
Various changes and changes are possible in this application.It is all within the spirit and principles of the present application made by any modification, equivalent replacement,
Improve etc., it should be included within the scope of the claims of this application.
Claims (10)
1. a kind of activity box office prediction technique characterized by comprising
Obtain the information of goal activities；
According to the information of the goal activities, at least one keyword relevant to the goal activities is obtained；
Obtain the searching times of each keyword at least one described keyword；
According to the searching times of each keyword, target temperature is determined；Wherein, the target temperature is the goal activities
Activity temperature；
According to the incidence relation between the target temperature and pre-stored activity temperature and practical box office, the target is determined
Movable prediction box office.
2. the method as described in claim 1, which is characterized in that the incidence relation between the activity temperature and practical box office,
It is to be determined according to the activity temperature of historical act and the practical box office of the historical act.
3. the method as described in claim 1, which is characterized in that each keyword at least one keyword described in the acquisition
Searching times include:
Obtain the searching times of at least one object content, at least one described object content at least one described keyword
In any keyword it is corresponding；
According to the searching times of at least one object content, the searching times of any keyword are determined.
4. method as claimed in claim 3, which is characterized in that the searching times packet for obtaining at least one object content
It includes:
From at least one third party's search platform, the searching times of at least one object content are obtained.
5. the method as described in claim 1, which is characterized in that the searching times according to each keyword determine mesh
Marking temperature includes:
Count searching times of any keyword respectively in N number of time interval before activity starts；Wherein, N > 1, it is described N number of
Each time interval in time interval has respectively corresponded a weight；
According to any keyword searching times in N number of time interval respectively, and, each time interval point
Not corresponding weight determines the temperature of any keyword；
According to the temperature of each keyword, target temperature is determined.
6. method as claimed in claim 5, which is characterized in that in N number of time interval, i+1 time interval evening
In i-th of time interval, and, the weight of the i+1 time interval is greater than the weight of i-th of time interval, 1≤i
≤N-1。
7. the method as described in claim 1, which is characterized in that described according to the target temperature and pre-stored movable hot
Incidence relation between degree and practical box office, determines that the prediction box office of the goal activities includes:
In incidence relation between pre-stored activity temperature and practical box office, search corresponding with the target temperature
Practical box office；
Practical box office corresponding with the target temperature is determined as to the prediction box office of the goal activities.
8. a kind of activity box office prediction meanss characterized by comprising
Information acquisition unit, for obtaining the information of goal activities；
Keyword acquiring unit obtains relevant to the goal activities at least one for the information according to the goal activities
A keyword；
Searching times acquiring unit, for obtaining the searching times of each keyword at least one described keyword；
Temperature determination unit determines target temperature for the searching times according to each keyword；Wherein, the target heat
Degree is the activity temperature of the goal activities；
Box office predicting unit, for according to being associated between the target temperature and pre-stored activity temperature and practical box office
Relationship determines the prediction box office of the goal activities.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment execute such as movable box office prediction technique of any of claims 1-7.
10. a kind of processor, which is characterized in that the processor is for running program, wherein executed such as when described program is run
Activity box office of any of claims 1-7 prediction technique.
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| CN201711052014.8A CN109726846A (en) | 2017-10-30 | 2017-10-30 | Movable box office prediction technique and device |
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| CN111078996A (en) * | 2019-11-12 | 2020-04-28 | 北京币世界网络科技有限公司 | Block chain digital currency real-time heat monitoring method, device and system |
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Application publication date: 20190507 |