CN111652638A - Book printing guidance method, system and storage medium - Google Patents
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Abstract
The invention relates to a book printing guidance method, a system and a storage medium, belonging to the technical field of digital book printing, wherein the method comprises the following steps: obtaining a matching rule based on the acquired popularity characteristic information aiming at the book sales condition in at least one preset time period, wherein the matching rule is used for representing the relation between the book sales condition and the popularity characteristic information; acquiring current heat characteristic information; matching the acquired current heat characteristic information with a matching rule; and outputting printing guide data according to the matching rule according to the result of successful matching. The method has the advantages of shortening the time of stock preparation according to orders by manufacturers, facilitating the reduction of printing cost by batch stock preparation, reducing the waiting time of users and improving the purchasing experience of the users.
Description
Technical Field
The invention relates to the technical field of digital publishing and printing of books, in particular to a book printing guidance method, a book printing guidance system and a storage medium.
Background
At present, under the open network environment of the internet, the book selling mode is changed from the traditional single offline selling mode to the mode that the book manufacturer cooperates with an e-commerce platform on line or sells books through the own online platform based on the application mode of a browser/server or a client/server.
The method adopted at present is as follows: ordering is performed according to a user on an online platform, and then the online platform sends order data to a manufacturer, and the manufacturer produces orders through a printing factory, but the mode has defects:
1. as the manufacturer receives the order of the online platform, analyzes the information and then sends the order condition to the printing factory to guide the printing factory to print, the series of work consumes longer time and generally needs 2 to 3 days, so that the waiting time of a user is long and the experience is poor;
2. since there is a large relationship between the production cost and the number of prints in a printing factory, the smaller the number of prints, the higher the production cost, and the current production factory produces the print order by the printing factory, so that the cost of printing alone is very high.
Disclosure of Invention
The invention aims to provide a book printing guidance method, which is convenient for predicting book sales volume, shortening the time for a manufacturer to stock according to an order, facilitating the reduction of printing cost for batch stock, reducing the waiting time of a user and further improving the purchasing experience of the user.
The above object of the present invention is achieved by the following technical solutions:
a book printing guidance method comprises the following steps of obtaining a matching rule based on acquired popularity characteristic information aiming at book sales conditions in at least one preset time period, wherein the matching rule is used for representing the relation between the book sales conditions and the popularity characteristic information; acquiring current heat characteristic information; matching the acquired current heat characteristic information with a matching rule; and outputting printing guide data according to the matching rule according to the result of successful matching.
By adopting the technical scheme, the matching rule is obtained by obtaining the heat characteristic information of the book sales condition, and the obtained current heat characteristic information is matched with the matching rule, so that the printing guidance data is obtained according to the matching result, the book sales volume is predicted, the printing factory can be conveniently guided to print in batches in advance, the time for the manufacturer to stock according to the order is shortened, and the printing cost is reduced; meanwhile, the waiting time of the user is reduced, and the purchasing experience of the user is improved.
The present invention in a preferred example may be further configured to: the heat characteristic information comprises time nodes and/or time periods, sales volume of books of the same type and/or the same kind in a preset time period and sales volume change rate of books of the same type and/or the same kind in a preset time period.
By adopting the technical scheme, the time node and/or the time period, the sales volume of the same book and/or the same kind of books in a preset time period and the sales volume change rate of the same book and/or the same kind of books in the preset time period are analyzed through the setting of the heat characteristic information, so that the relation between the time and the sales volume of the books can be analyzed, and further, the matching rule can be conveniently obtained according to the analyzed relation.
The present invention in a preferred example may be further configured to: the popularity feature information also includes a leaderboard ranking and/or a platform popularity value associated with the book.
By adopting the technical scheme, the ranking list ranking and/or the platform heat value related to the books in different network channels are analyzed through the setting of the heat characteristic information, so that the relation between the heat ranking related to the books and the sales volume of the books concerned by people on the network can be analyzed, and further the matching rule can be conveniently obtained according to the analyzed relation.
The present invention in a preferred example may be further configured to: in outputting the printing guidance data according to the matching rule and the matching success result, judging whether the books associated with the ranking list and/or the platform heat value obtain the copyright or not according to the matching success result; if yes, outputting the printing instruction data according to the matching rule.
By adopting the technical scheme, the matching rule which is obtained according to the relation between the popularity ranking and the sales volume of the books concerned by people on the network needs to be supplemented with the book which judges whether the popularity ranking and/or the platform popularity ranking is/are acquired with the copyright, if so, the printing guidance data is output, and further the advanced printing is realized.
The present invention in a preferred example may be further configured to: and outputting printing guide data according to the matching rule according to the result of successful matching, wherein the step of outputting the book name and/or book type corresponding to the current heat characteristic information, the historical contemporaneous sales volume and/or the guide printing volume of the corresponding book name and/or book type according to the result of successful matching and the matching rule.
By adopting the technical scheme, the matching rule is obtained according to the analyzed heat characteristic information, then the current heat information is matched with the matching rule, the printing guidance data is output, and the printing guidance data comprises the book name and/or the book type corresponding to the current heat characteristic information, the historical contemporaneous sales volume and/or the guidance printing volume corresponding to the book name and/or the book type, so that the printing of a printing factory can be simply and directly guided.
The present invention in a preferred example may be further configured to: according to the successful matching result, after outputting the book name and/or the book type corresponding to the current popularity characteristic information, the historical contemporaneous sales volume and/or the guided printing volume corresponding to the book name and/or the book type according to the matching rule, the method further comprises the step of obtaining area information in the address information of all orders in a preset period corresponding to the book name/the book type; judging whether the contemporaneous sales volume and/or the guide printing volume of the books in the same area meet preset conditions; and if so, outputting the information of the printing factory and/or the distribution warehouse which is closest to the address information.
By adopting the technical scheme, the regional information in the address information of all orders in a preset period corresponding to the book name/book type is obtained through analysis, so that a certain book in a certain area can be conveniently obtained and sold, the information of the printing factory and/or the distribution warehouse with the nearest address information obtained through analysis can be conveniently output, the corresponding printing factory and/or distribution warehouse can be conveniently guided to print in advance, the printing cost is reduced, and the logistics cost is also reduced.
The invention also aims to provide a book printing guidance system which has the characteristics of shortening the time of stock preparation according to orders by manufacturers, facilitating the reduction of printing cost by batch stock preparation, reducing the waiting time of users and improving the purchasing experience of the users.
The second aim of the invention is realized by the following technical scheme:
a book printing guidance system comprises a matching rule determining module, a book printing guidance module and a book printing guidance module, wherein the matching rule determining module is used for obtaining a matching rule based on acquired popularity characteristic information aiming at book sales conditions in at least one preset time period, and the matching rule is used for representing the relation between the book sales conditions and the popularity characteristic information; the information acquisition module is used for acquiring current heat characteristic information; the matching module is used for matching the acquired current heat characteristic information with the matching rule; and the output module is used for outputting the printing guidance data according to the matching rule according to the result of successful matching.
By adopting the technical scheme, the popularity characteristic information of the book sales condition is analyzed and obtained through the matching rule determining module to obtain the matching rule, the current popularity characteristic information is obtained through the information obtaining module, the obtained current popularity characteristic information is matched with the matching rule through the matching module, and the printing guide data is output according to the matching rule through the output module according to the result of successful matching, so that the printing guide data is obtained according to the matching result, and further the printing factory is conveniently guided to print in batches in advance, thereby reducing the printing cost, simultaneously reducing the waiting time of a user and improving the purchasing experience of the user.
A book printing guidance system is provided, wherein hot characteristic information comprises time nodes and/or time periods, sales volume of books of the same type and/or the same type in a preset time period, and sales volume change rate of books of the same type and/or the same type in a preset time period.
By adopting the technical scheme, the time node and/or the time period, the sales volume of the same book and/or the same kind of books in a preset time period and the sales volume change rate of the same book and/or the same kind of books in the preset time period are analyzed through the setting of the heat characteristic information, so that the relation between the time and the sales volume of the books can be analyzed, and further, the matching rule can be conveniently obtained according to the analyzed relation.
In summary, the invention includes at least one of the following beneficial technical effects:
1. the matching rule is obtained by obtaining the popularity characteristic information of the book sales condition, and the obtained current popularity characteristic information is matched with the matching rule, so that printing guidance data is obtained according to the matching result, and further, the printing factory is conveniently guided to print in batches in advance, so that the printing cost is reduced, meanwhile, the waiting time of a user is reduced, and the purchasing experience of the user is improved;
2. through the analysis of the heat characteristic, the heat characteristic information covers factors influencing book sales, so that printing guidance data can be obtained more accurately, and accurate printing guidance in advance is facilitated.
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FIG. 1 shows a method flow diagram of a book printing guidance method according to an embodiment of the present disclosure.
Fig. 2 shows a system configuration diagram of a book printing guidance system according to an embodiment of the present disclosure.
Reference numerals: 200. a matching rule determination module; 201. an information acquisition module; 202. a matching module; 203. and an output module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
FIG. 1 shows a method flow diagram of a book printing guidance method according to an embodiment of the present disclosure. As shown in fig. 1, the main flow of the method is described below.
S11: and obtaining a matching rule based on the acquired popularity characteristic information aiming at the book sales condition in at least one preset time period, wherein the matching rule is used for representing the relation between the book sales condition and the popularity characteristic information.
S12: and acquiring current heat characteristic information.
S13: and matching the acquired current heat characteristic information with the matching rule.
S14: and outputting printing guide data according to the matching rule according to the result of successful matching.
The control method aims to reduce the time for a manufacturer to guide a printing factory to print, further reduce the waiting time of a user for receiving goods, improve the user experience and reduce the printing cost of the manufacturer.
Specifically, in step S11,
the heat characteristic information comprises time nodes and/or time periods, sales volume of books of the same type and/or the same kind in a preset time period and sales volume change rate of books of the same type and/or the same kind in a preset time period.
The above-mentioned heat characteristic information can be obtained by analyzing the historical order of book sales.
The matching rule related to the time node is specifically that according to historical sales orders of books stored by the big data server, specific events corresponding to different time nodes and/or time periods are obtained through analysis, so that the books are sold hot, and the time nodes and/or time periods corresponding to the specific events are stored for setting preset values in the matching rule.
In one example, assuming that yearly jazz test is taken in 5 months per year and books on the jazz test are sold hot 3 months before official starting, the time node "2 month 1 day" and/or the time period "2 month-4 month" on the jazz test is stored as the popularity feature information, and the preset value in the matching rule is set accordingly.
The matching rule about the sales volume of the book and/or the similar books in a preset time period and the sales volume change rate of the book and/or the similar books in the preset time period is specifically that the sales volume of the book and/or the similar books in the preset time period is obtained according to the historical sales order of the books stored by the big data server, so that the sales volume of the book and/or the similar books in the preset time period and the sales volume change rate of the book and/or the similar books in the preset time period are stored, and a suitable sales volume and/or a suitable sales volume change rate are analyzed and determined to set the preset value of the matching rule.
The sales change rate is obtained by dividing a preset time period into a plurality of time periods, acquiring the sales volume of the same book and/or the same kind of books in each time period, and dividing the sales volume difference between two adjacent time periods by the time period to obtain the sales volume change rate of the same book and/or the same kind of books in unit time. The increase and change of the same book and/or the same kind of books in a time period can be objectively reflected through the sales volume change rate, so that the expected sales volume of the books can be reflected.
In one example, when a single book (for example, the 'art life') obtained through historical order analysis has a period of 7 days and a sales volume of 100 in 7 days, and the sales volume of 1000 in the next 2 months, the single book (for example, the 'art life') is stored with the sales volume of 100 in the period of 7 days as heat characteristic information, and the preset value in the set matching rule is that the sales volume of 100 is greater than or equal to 100 every time a book belongs to the 7 days.
In another example, according to the historical book order information, the sales volume change rate of a single book in a period of 7 days is 70% and the sales volume of the single book is increased to 500 books at the maximum, then the sales volume change rate of the single book in a week of 7 days is 70%, and the preset value in the set matching rule is that the sales volume change rate of the single book in 7 days is greater than or equal to 70%.
Still further, the popularity feature information further includes a leader board ranking and/or a platform popularity value associated with the book.
Specifically, the matching rule of the ranking list and/or the platform heat value associated with the book is to store the corresponding ranking and/or heat value in the artistic form on the ranking list according to the ranking list and/or the platform heat value associated with the book in different network channels, take the book sold in hot and the sales volume in unit time as the heat characteristic information, and set a preset value in the matching rule according to the ranking list and/or the platform heat value.
In one example, the popularity value of the 'small era' movie acquired through the big data server in the first 3 months of the movie ranking list of the past year reaches 100000, the 'small era' popular with the same name and the associated small era is sold with the monthly sales amount of 1000, the ranking digit number and/or the popularity value of the 'small era' movie is acquired as the popularity feature information, and the preset value in the matching rule is set according to the ranking digit number and/or the popularity value of 100000, namely the preset value is set as the ranking digit number of a certain movie ranking list of the first movie ranking and/or the popularity value of 100000. Of course, the movie ranking list is not limited to only the movie ranking list, but includes, but is not limited to, the popularity information related to the books, such as the microblog platform and the Sina platform.
In S12, the current heat characteristic information is acquired. Specifically, the current popularity feature information is obtained according to the definition of the popularity feature information and the matching rule representing the relationship between the sales condition of the book and the popularity feature information, so as to be used for executing the step S13.
In step S13, the obtained current popularity feature information is matched with a matching rule, and according to a result of successful matching, step S14 is executed, in which printing guidance data is output according to the matching rule, where the printing guidance data includes a book name and/or a book type corresponding to the current popularity feature information output according to the matching rule, a historical contemporaneous sales volume and/or guidance printing volume corresponding to the book name and/or the book type. And returning to execute the step S12 according to the unsuccessful matching result.
Historical contemporaneous sales are not exactly equal to the pilot print size, which may be combined with other external factors such as: audience size, etc., may be set as a percentage, such as a guide print size = 80% of historical contemporaneous sales, or a guide print size = 120% of historical contemporaneous sales.
Specifically, the time node is used as the heat characteristic information,
and matching the acquired current time node with a preset value in the matching rule, judging whether the current time node reaches the preset time node, if so, executing the step S14, namely outputting the printing guidance data according to the matching rule. In an example, if the acquired current time node is 2 months and 1 day and is matched with the set time node, 2 months and 1 day, the printing guidance data is output according to the matching rule, and the printing guidance data may be: the book name and the number of books in the same period of history related to the examination of Yasi are 1000 books, the selling season of 2-3 months is busy, the printing factory is recommended to print 1000 books in advance, and the printing factory is instructed to print in advance according to the output printing instruction data.
And matching the acquired current sales change rate with a preset value in a preset rule by taking the sales change rate as heat characteristic information, judging whether the sales change rate reaches the preset value, and if so, executing a step S14, namely outputting printing guide data according to the matching rule. In one example, within 7 days of obtaining the current year from 1 month and 1 day to 7 months of 1 month, the sales volume change rate of the "art life" is 75%, and is greater than the preset value for 7 days, and the sales volume change rate is 70%, and then the printing guidance data is output according to the matching rule, and the printing guidance data may be: "art life", the book sales or average sales reaching this sales change rate in history is 500 books, wherein the sales in the current month reaching the sales change rate is 100 books, the sales in the next month is 300 books, the sales in the next month is 100 books, the sales in the next month is suggested to be printed by the printing factory for 500 books in advance, and the printing factory is instructed to print in advance according to the output printing instruction data. It should be noted that, the sales volume change rate is used as the matching rule, and is not limited to books with the same name, but also includes other books that can achieve the sales volume change rate, such as: if 7 days are set according to the historical order information and the sales volume change rate is 7 days and 70%, the same printing instruction data can be output for 70% of the books currently meeting the sales volume change rate of 7 days.
And matching the acquired current sales volume with a preset value in the matching rule by taking the sales volume as the heat characteristic information, judging whether the sales volume reaches the preset value, if so, executing the step S14, and outputting printing guide data according to the matching rule. In one example, within 7 days after acquiring the current year from 1 month to 8 months, the sales volume of the artistic life is 150 books and is greater than the preset value of 100 books, and the printing guidance data is output according to the matching rule, and the printing guidance data can be: "art life" books with a historical sales volume of 100 books within 7 days or more, and sales volume of 1000 books in two months later, suggest that the printing factory print 1000 books in advance ", and instruct the printing factory to print in advance according to the output printing instruction data. It should be noted that, by using the sales amount in the preset time period as the matching rule, the method is not limited to books with the same name, and also includes other books that can reach the sales amount in the preset time period, such as: if 7 days and 100 sales are set according to the historical order information, the same print instruction data can be output for all 100 books that currently fit the 7-day sales.
And taking the ranking and/or platform heat value of the ranking list related to the books as heat characteristic information, matching the obtained ranking and/or heat value of the corresponding artistic form on the current ranking list with a preset value in a matching rule, judging whether the searched ranking and/or heat value of the heat reaches the preset value, if so, executing the step S14, namely outputting printing guidance data according to the matching rule. In one example, if the movie drama with the first ranking rank of the movie ranking list in the current year is acquired as "celebration year", and is matched with a preset value "rank first", the printing guidance data is output according to the matching rule, and the printing guidance data may be: "the rest of the year of the celebration", the history reaches the corresponding similar novel corresponding to the "Xiao Shi" of the first ranking list, the sales per month is up to 1000, and the printing factory is advised to print 1000 in advance. It should be noted that the specific printing quantity output is not necessarily completely handled, and a percentage may be set to realize reasonable guidance, such as: the set percentage is 80%, then the instructional print data is: and (4) recommending that the printing factory prints 1000 × 80% =800 copies in advance, and guiding the printing factory to print in advance according to the output printing instruction data.
Furthermore, since the books with the same name corresponding to the movie and television drama with the higher ranking list or platform popularity value are not necessarily the books with the copyright, therefore,
after the searched ranking and/or the searched popularity value reach a preset value, judging whether the books related to the ranking and/or the platform popularity value obtain copyright or not;
if yes, outputting printing instruction data according to the matching rule;
if not, sending information to prompt the staff to find copyright party negotiation business according to the books corresponding to the searched heat ranking so as to obtain the copyright.
In one example, the first place of the movie & lthour generation 2 & gt on the current movie & lthour generation 2 & gt ranking on the ranking list is obtained, the ranking of the ranking list is matched with a preset value, whether the manufacturer of the book & lthour generation 2 & gt corresponding to the movie & lthour generation 2 & gt obtains the copyright or not is continuously judged, whether the hour generation 2 & gt exists or not is inquired in a book database which the manufacturer corresponding to the big data server has the copyright or not, and if the inquiry is made, the step S14 is executed, namely the printing guidance data is output; otherwise, the big data server controls to send out prompt information so as to remind the staff to contact an author of the 'hour era' or a publishing company cooperating with the 'small era' to purchase copyright or other business negotiations which can realize that a manufacturer prints the book. The mode can also guide business personnel to develop wider business, and meanwhile, the popularity brought by the current affair hotspot is utilized in time, the sales volume of books is improved, and the achievement of printing business is driven to increase.
Further, in the present invention,
according to the matching success result, after outputting the book name and/or the book type corresponding to the current popularity feature information, the historical contemporaneous sales volume and/or the guide printing volume of the corresponding book name and/or the book type according to the matching rule, the method further comprises the following steps: acquiring area information in address information of all orders in a preset period corresponding to book names/book types; judging whether the contemporaneous sales volume and/or the guide printing volume of the books in the same area meet preset conditions; and if so, outputting the information of the printing factory and/or the distribution warehouse which is closest to the address information.
Specifically, the regional information refers to province and/or city, and/or district, and/or county, and the accuracy of the regional information is determined mainly based on the specific location of the printing plant or distribution warehouse.
In one example, analysis is performed based on historical order information of the jacobian, and analysis continues based on all historical order address information to obtain regional information, such as: the sales volume of the area is 200 in Jingjin Ji area, then the information of the printing factory and/or the delivery warehouse corresponding to the manufacturer in Jingjin Ji area is output, so that the printing factory can conveniently guide the printing of the nearby printing factory and guide the printing factory to send the printed Yasi books to the nearby delivery warehouse in advance, the logistics cost can be saved on the whole, the delivery efficiency is improved, and the purchase experience of a user can be improved.
The method can analyze historical book sales data and network hot spot events, predict book sales volume, guide printing factories to print in advance, shorten the time of stock according to orders by manufacturers, and reduce the printing cost by batch printing stock; meanwhile, the waiting time of the user is greatly reduced, and the purchasing experience of the user is improved.
Fig. 2 shows a system configuration diagram of a book printing guidance system according to an embodiment of the present disclosure. As shown in fig. 2, the system includes: a matching rule determining module 200, an information obtaining module 201, a matching module 202 and an output module 203.
The matching rule determining module 200 is configured to obtain a matching rule based on the acquired popularity feature information for the book sales situation in at least one preset time period, where the matching rule is used to represent a relationship between the book sales situation and the popularity feature information.
An information obtaining module 201, configured to obtain current heat characteristic information;
a matching module 202, configured to match the obtained current heat characteristic information with a matching rule;
an output module 203, configured to output the printing guidance data according to the matching rule according to a result of successful matching; and continuously acquiring the current heat characteristic information for matching according to the result of unsuccessful matching.
The popularity characteristic information comprises a time node and/or a time period, sales of books of the same type and/or the same kind in a preset time period, and sales change rate of books of the same type and/or the same kind in a preset time period, and further comprises ranking of the leaderboard related to the books and/or a platform popularity value.
The printing guide data includes a book name and/or a book category corresponding to the current popularity feature information, a historical contemporaneous sales amount and/or a guide printing amount corresponding to the book name and/or the book category.
The output module 203 is further configured to determine whether the books associated with the ranking list and/or the platform heat value have acquired copyrights according to the result of successful matching; if yes, outputting printing instruction data according to the matching rule; if not, sending information to prompt the staff to find copyright party negotiation business according to the books corresponding to the searched heat ranking so as to obtain the copyright.
The system further comprises: the regional information acquisition module is used for acquiring regional information in the address information of all orders in a preset period corresponding to the book name/book type after outputting the book name and/or book type corresponding to the current popularity characteristic information, the historical contemporaneous sales volume and/or the guide printing volume corresponding to the book name and/or the book type according to the matching rule according to the matching success result; the judging module is used for judging whether the contemporaneous sales volume and/or the guide printing volume of the books in the same area meet preset conditions; the result output module is used for outputting the information of the printing factory and/or the distribution warehouse which is closest to the address information if the judgment result is positive; if not, the process is ended.
Various changes and specific examples in the method in the foregoing embodiment are also applicable to the system for book printing guidance in the present embodiment, and a person skilled in the art can clearly know the implementation method of the system for book printing guidance in the present embodiment through the foregoing detailed description of the system method for book printing guidance, so that the detailed description is omitted here for the brevity of the description.
According to the method, the relation between the book sales condition and the heat characteristic information is analyzed and analyzed through the acquired heat characteristic information aiming at the book sales condition in at least one preset time period, the corresponding matching rule is set, factors influencing the book sales are covered as much as possible, the acquired current heat characteristic information is matched with the matching rule, and printing guide data is output according to the matching result, so that a manufacturer can stock in advance, the time for the manufacturer to stock according to an order is shortened, the user waiting time is shortened, the user purchasing experience is improved, the printing cost is reduced, and the problem that the printing task of the manufacturer cannot be matched with the production capacity of a printer in time in the prior art is solved.
The methods and displays presented herein are not inherently related to any particular computer, virtual machine system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in a book printing guidance system according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A book printing guidance method is characterized by comprising the following steps:
obtaining a matching rule based on the acquired popularity characteristic information aiming at the book sales condition in at least one preset time period, wherein the matching rule is used for representing the relation between the book sales condition and the popularity characteristic information;
acquiring current heat characteristic information;
matching the acquired current heat characteristic information with a matching rule;
and outputting printing guide data according to the matching rule according to the result of successful matching.
2. The book printing guidance method of claim 1, characterized in that: the heat characteristic information comprises time nodes and/or time periods, sales volume of the same book and/or the same kind of books in a preset time period and sales volume change rate of the same book and/or the same kind of books in a preset time period.
3. The book printing guidance method of claim 1 or 2, characterized in that: the popularity feature information also includes a leaderboard ranking and/or a platform popularity value associated with the book.
4. The book printing guidance method of claim 3, wherein in outputting printing guidance data according to the matching rule based on a result of successful matching, further comprising:
judging whether the books associated with the ranking list and/or the platform heat value acquire the copyright or not according to the successful matching result; if yes, outputting the printing instruction data according to the matching rule.
5. The book printing guidance method of claim 1, wherein outputting printing guidance data according to the matching rule based on a result of successful matching comprises:
and outputting the book name and/or the book type corresponding to the current popularity characteristic information, the historical contemporaneous sales volume and/or the guide printing volume of the corresponding book name and/or the book type according to the matching rule according to the matching result.
6. The book printing guidance method of claim 5, wherein after outputting the book name and/or the book category corresponding to the current popularity feature information, the historical contemporaneous sales amount and/or the guidance printing amount corresponding to the book name and/or the book category according to the matching rule based on a result of successful matching, the method further comprises:
acquiring area information in address information of all orders in a preset period corresponding to book names/book types;
judging whether the contemporaneous sales volume and/or the guide printing volume of the books in the same area meet preset conditions;
and if so, outputting the information of the printing factory and/or the distribution warehouse which is closest to the address information.
7. A book printing guidance system, characterized in that the system comprises:
the matching rule determining module (200) is used for obtaining a matching rule based on the acquired popularity characteristic information aiming at the book sales condition in at least one preset time period, and the matching rule is used for representing the relation between the book sales condition and the popularity characteristic information;
the information acquisition module (201) is used for acquiring current heat characteristic information;
the matching module (202) is used for matching the acquired current heat characteristic information with the matching rule;
and the output module (203) is used for outputting the printing guidance data according to the matching rule according to the result of successful matching.
8. The book printing guidance system of claim 7, wherein the popularity characteristic information includes a time node and/or a time period, sales of books of the same kind and/or the same kind within a preset time period, and a rate of change of sales of books of the same kind and/or the same kind within a preset time period.
9. A book printing guidance system, characterized by comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any one of claims 1 to 6.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 6.
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| CN202010459244.1A CN111652638A (en) | 2020-05-27 | 2020-05-27 | Book printing guidance method, system and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010459244.1A CN111652638A (en) | 2020-05-27 | 2020-05-27 | Book printing guidance method, system and storage medium |
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| CN105096020A (en) * | 2014-05-19 | 2015-11-25 | 北大方正集团有限公司 | Statistical method and device for printing production data |
| CN106971249A (en) * | 2017-05-05 | 2017-07-21 | 北京挖玖电子商务有限公司 | A kind of Method for Sales Forecast and replenishing method |
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