TWM623755U - System for generating creative materials - Google Patents

Abstract

A system for generating creative materials comprises a processor, an input device and a storage device. The processor determines at least one of at least one popular keyword, at least one event keyword, and at least one shape keyword as at least one creative element, and based on the at least one creative element, obtains search results through a search engine. The processor further selects one of the search results to serve as a content material according to a command, and takes said content material as well as the creative element as creative material data. The input device electrically connects with the processor for selectively generating and transmitting the command to the processor. The storage device electrically connects with the processor and has a creative material database for storing the creative material data.

Description

A system for generating creative material

The present invention relates to the field of network marketing, especially a system for assisting users to generate creative materials.

With the popularity of mobile phones and the Internet, various websites and social platforms have flourished, resulting in the explosive growth of Internet information. When marketing planners promote online, they often focus on marketing content such as pictures, articles, or videos, etc. Packaged to attract consumers' attention and increase retention. The "creative material" is an intermediary element used to package the marketing content. Through its packaging, the marketing content can be made interesting, creative and attractive. Usually "creative material" includes at least one creative idea (commonly known as: creative stalk or creative element) that conforms to the marketing content and content material (such as: articles, pictures, videos, etc.) related to the creative idea.

At present, the market still uses artificial methods to generate creative materials for online marketing. Marketing planners need to accumulate enough experience in the marketing field and keep track of the latest current events before they can come up with creative ideas for the marketing content. , and generate the content material of the creative idea by searching on the Internet or inventing it by yourself, so as to use it to package the marketing content, thereby attracting the enthusiastic attention and discussion of netizens. However, even an experienced marketing planning team has its limits. Therefore, there is still a lack of a system that can assist marketing planners to mine creative materials from designated marketing content topics.

In view of this, the present invention proposes a system for generating creative materials, so as to expand the creative materials required for the production of marketing content data, so as to save the time cost for users to conceive by themselves, explore current affairs information, and think and digest data, and automate the process. The method provides creative materials with creative concepts for users to package the marketing content.

According to an embodiment of the present invention, a system for generating creative materials includes: a processor, an input device, and a storage device. The processor determines that at least one of at least one popular search term, at least one current affairs search term and at least one popular shape word is at least one creative element, wherein the popular search term and the popular shape word are associated with at least one content keyword, and current affairs search The word is associated with at least a specified interval, the processor obtains a plurality of search results obtained by a search engine based on the creative element, and selects at least one of the search results as at least one content material according to an instruction, and uses at least the creative element and the At least one content material corresponding to the creative element is used as at least one creative material data. The input device is electrically connected to the processor for selectively generating instructions and transmitting the instructions to the processor. The storage device is electrically connected to the processor and has a creative material database for storing the creative material data.

The above description of the present disclosure and the following description of the embodiments are used to demonstrate and explain the spirit and principle of the present invention, and provide further explanation of the scope of the patent application of the present invention.

10: A system for generating creative material

1: Processor

3: Communication device

5: Input device

7: Storage device

20: Server

N: network

S1, S21~S22, S31~S32, S41~S44, S5~S9, S91~S93: Steps

FIG. 1 is a system architecture diagram of a system for generating creative materials according to an embodiment of the present invention.

FIG. 2 is a flowchart of a method for generating creative materials according to an embodiment of the present invention.

FIG. 3 is a flowchart of the implementation of step S9 in an embodiment of the present invention.

The detailed features and characteristics of the present invention are described in detail below in the embodiments, and the content is sufficient to enable any person skilled in the relevant art to understand the technical content of the present invention and implement accordingly, and according to the content disclosed in this specification, the scope of the patent application and the drawings , any person familiar with the related art can easily understand the related concept and features of the present invention. The following examples further illustrate the concept of the present invention in detail, but do not limit the scope of the present invention in any way.

FIG. 1 is a system architecture diagram of a system for generating creative materials according to an embodiment of the present invention. As shown in FIG. 1 , the system 10 for generating creative materials includes: a processor 1 , a communication device 3 , an input device 5 and a storage device 7 . The processor 1 is electrically connected to the communication device 3, the input device 5 and the storage device 7, which The content of the medium storage device 7 may include, but is not limited to, text data, a creative database, a shape database, a creative material database, and an auxiliary keyword database as shown in FIG. 1 . The system 10 for generating creative materials is used to execute the method for generating creative materials according to an embodiment of the present invention. The system 10 may be located in a cloud server or a local computer, which is not limited in the present invention. In addition, the communication device 3 can be further connected to the server 20 through the network N communication, so as to use the search trend service of the server 20 and even run its network search engine.

FIG. 2 is a flowchart of a method for generating creative materials according to an embodiment of the present invention, which is preferably executed by the apparatuses shown in FIG. 1 . In this embodiment, a plurality of search terms are generated first, and then the ones that can be used as creative elements are determined from them, and subsequent steps are performed based on the creative elements to obtain creative material data. The above search words may include at least one of popular search words, current affairs search words and popular shape words, and the generation methods of the popular search words, current affairs search words and popular shape words will be described later.

Step S1 is "reading text data and acquiring content keywords". For example, when a user (such as a manufacturer or marketing planner) needs to produce marketing content for promotion through the Internet, the user can provide information such as his own business category description, job category description, company website or product manual, etc. , the information will be converted into text data and stored in the storage device 7 . The processor 1 can read the text data in the storage device 7, and execute a word segmentation process and a semantic analysis process, thereby extracting content keywords in a large amount of text data. In practice, the word segmentation procedure can be performed by using the method of regular word segmentation, or by using the method of statistical word segmentation. When the rule segmentation is performed, the words temporarily extracted from the text data are matched with the words in the dictionary, and if the matching is successful, the segmentation is performed to obtain a candidate word. When performing statistical word segmentation, it is to count the number of occurrences of connected words in the text data, or to calculate the frequency of adjacent occurrences of words and words, and to judge the word string when the number or frequency of a word string is higher than a certain threshold. is a candidate term. Implementations of semantic analyzers can use techniques such as term frequency-inverse document frequency (tf-idf), latent semantic indexing, or auto-encoders to evaluate a candidate Whether the importance of words can be used as content keywords. However, the implementation of the new word segmentation program and the semantic analysis program is not limited to the above-mentioned methods.

The following steps S21 and S22 are the result of the processor 1 obtaining the content keywords. Execute later to get popular search terms. Step S21 is "comparing with the creative database according to the content keywords to obtain the creative keywords". The creative database stored in the storage device 7 has a plurality of entries, each entry includes a first column and a second column, wherein the first column stores candidate words for comparison, and the second column stores the candidate words Words with homophonic puns. The above-mentioned candidate words and homophones in the same entry are not limited to the same language, and the two can also be words with homophones but belong to two different languages, such as between Chinese and English (the "" The homophonic relationship between "drag mud" and "Tony", "four big" and "star" in "the four are empty", "fear of death" and "pass" in "greed for life and fear of death", etc.). In one embodiment, the processor 1 compares the content keywords generated in step S1 with the candidate words in the first column of each entry. The similarity is greater than the specified threshold), the homophones in the second column corresponding to the candidate words are taken out as creative keywords. In this embodiment, the method of generating the lexical similarity may be a method such as literal distance similarity measurement, a word vector method for semantic similarity, or a semantic similarity calculation method, which is not limited by the present invention.

In yet another embodiment, in addition to storing homophones, the second field stores synonyms, context words and aliases. In practice, when creating a creative database, a large number of words (candidate words) and their corresponding homophones, synonyms or situation words can be pre-collected in parallel with manual and automated programs. The automated part of the program can use web crawler software to automatically update the entries in the creative database with the specified filtering rules. For homophones, synonyms, situational words or aliases taken from the creative database, since most of them will not have obvious correlation with the content keywords, they can stimulate unexpected topicality and publicity. By means of step S21 and the setting of the creative database, the present invention can easily find creative keywords potentially related to the content keywords, so the brainstorming process of the creator can be saved, and the overall efficiency of marketing planning can be improved.

Step S22 is "send creative keywords to the search trend service to obtain popular search terms", wherein the search trend service may be, but not limited to, Google Trend, for example, Internet Thermometer, Dashu Software, and Opview Community of Yilan Company For search trend services such as word-of-mouth databases, the following uses Google Trend as an example to explain how to obtain popular search terms through the search trend service. Processor 1 is the control communication device Set 3 to connect the communication to the network N, and then input the creative keywords into Google Trend, and Google Trend will return related topics related to the creative keywords (the topics that the users who searched for the word also searched) and related searches ( queries that people who searched for that term also searched). From the above-mentioned information returned by the communication device 3, the processor 1 uses the popular index (the most popular search query) to filter the related topics and the words listed in the related searches as popular search terms. In another embodiment, the processor 1 can also filter out popular search terms by using the popularity surge index (related queries with the most increased search frequency since the last period of time). Through the above steps S1 , S21 and S22 , the popular search terms associated with the content keywords can be obtained.

Referring to FIG. 2 again, if the current affairs search terms are to be obtained, the novel method for generating creative materials executes step S31 "obtaining the specified interval" and step S32 "sending the specified interval to the search trend service to obtain the current affairs search terms". Specifically, in step S31, the input device 5 can be operated by the user to obtain a time interval as the aforementioned designated interval, and the time interval can be, for example, "2021/01/01 to 2021/06/04" . However, the types of the above-mentioned designated intervals are not limited to the time axis, but also include geographic regions (such as Taiwan, Japan, etc.), topics (such as science, tourism, finance, etc.), categories (such as web search, pictures, etc.) search, news search, etc.) and other categories. In step S32 , the processor 1 controls the communication device 3 to transmit the above-mentioned designated interval to the search trend service, and the communication device 3 returns a plurality of current affairs search terms generated by the search trend service to the processor 1 . In this way, the current affairs search words associated with the specified interval can be obtained through steps S31 and S32.

In addition, after the processor 1 obtains the content keywords through step S1, the method for generating creative materials of the present invention may further execute step S41 “transmitting the content keywords to the image search engine to obtain images” and step S42 “generating the characteristics of the images” point distribution", step S43 "obtaining the shape keywords from the shape database according to the feature point distribution" and step S44 "transmitting the shape keywords to the search trend service to obtain popular shape words", so as to obtain the popular shape words associated with the content keywords .

Specifically, in step S41, the processor 1 controls the communication device 3 to transmit the content keyword generated in step S1 to an image search engine (eg, Google image search) to obtain images associated with the content keyword. In step S42, the processor 1 executes the image analysis program to obtain the image Feature point distribution, wherein the feature point distribution preferably represents multiple feature points of the shape of the object in the image, and the execution of the image analysis program can, for example, use the Canny operator to detect the edge of the object in the image, and then use Fast Feature The Detector algorithm finds the distribution of feature points in the edge.

In step S43, the processor 1 compares the feature points in the shape database stored in the storage device 7 to obtain shape keywords. The shape database can be implemented by having multiple entries, each entry includes a first field and a second field, and the first field stores a combination of shape feature points for comparison (ie, a predefined a feature point distribution), and the second field stores shape descriptors (such as object names) corresponding to this combination of shape feature points. It is worth noting that the same shape feature point combination can correspond to different shape descriptors; in other words, more than one shape descriptor can be stored in the second column of the shape database. For example, the shape feature point combination corresponds to a circle and Its shape descriptors include coins and basketballs. In practice, for the method of establishing this shape database, a large number of words (shape descriptors) and their corresponding shape feature point combinations can be pre-collected in parallel with manual and automatic programs, for example, an automatic program can be written to collect recent popular Words, find a plurality of pictures related to the hot words through the picture search engine, and then use the image analysis program described in step S42 to generate the shape feature point combinations of these pictures, and then store the shape feature point combinations and the hot words in the shape data respectively. The first and second columns of the library. With the above-mentioned shape database, the processor 1 performs comparison in the shape database according to the distribution of feature points to obtain the shape keywords. And when the similarity exceeds a specified threshold, it is determined that the two are consistent, and then one or more shape descriptors corresponding to the combination of shape feature points determined to be matched are output. Finally, in step S44 executed after step S43, the processor 1 controls the communication device 3 to transmit the shape keywords to the search trend service to obtain a plurality of popular shape words.

Since different objects may have similar shapes, the shape descriptors taken from the shape database may not be directly associated with the objects represented by the original content keywords. However, with the above procedure for generating popular shape words, popular shape words potentially related to content keywords can be easily found, which can assist creators in jumping in thinking, thereby effectively saving creators' association time.

Please refer to FIG. 2 again, in the execution to step S22, step S32 and step S44 After obtaining at least one of popular search words, current affairs search words and popular shape words, the method for generating creative materials of the present invention executes step S5 "determining search words as creative elements", wherein the search words are at least one of Contains at least one of popular search terms, current affairs search terms, and popular shape words. In step S5, the processor 1 selects more topical words from the aforementioned search words as creative elements according to an instruction, wherein an embodiment of the instruction is to use the input device 5 to select a word from a plurality of search words by the user. Generated in the process of selecting words (for example, the mouse is used as the input device 5, and the click coordinates when the user operates the mouse are used as the command to obtain the clicked word), and another implementation may be processing The engine 1 executes an automatic filtering process based on these search terms to generate the instruction, so that the creative element can be automatically obtained. In addition, it can also be executed in a loop with the above two methods to generate ideal creative elements.

In the above-mentioned automatic screening procedure, there are at least one score value and a threshold condition, wherein the at least one score value corresponds to the aforementioned at least one search term respectively, and the threshold condition may include a threshold score and a screening total. To be more specific, each of the above at least one score value is associated with at least one weight value, and the method of determining the score value can be, for example, determining an external weight value according to the order returned by the search trend service; The recorded creative elements (hereinafter referred to as stored creative elements, which are stored in the creative material database), are selected according to the number of times of the stored creative elements corresponding to these search terms (this data can be optionally stored in the creative material database) to determine an internal weight, even considering both the stored creative elements and the stored content keywords/stored specified interval (that is, the content keywords that have been recorded in the past and stored in the creative material database/ specified interval), the internal weight is determined based on the number of times the two are used together; The score value obtained by inputting the search word into the machine learning model is used as a model weight value, and finally, the above-mentioned score value is determined in proportion to the above-mentioned external weight value to the model weight value. The above three weights are only examples of generating the score value, and the score value may be determined only according to one or two of them, or other additional judgment factors may be added to determine the score value, which is not limited by the present invention. On the other hand, when automatic screening is performed based on the scores of all search terms according to the threshold conditions, the two conditions of the threshold score and the total number of screening can be considered at the same time (that is, the screening results must meet these two conditions at the same time), but it can also be only consider one of the Search terms whose score values pass this threshold are used as creative elements. In addition, the above-mentioned procedure of generating creative elements in two ways: user filtering and automatic filtering may be additionally provided with a recursive weight, for example, and the operation content may be: after automatic filtering generates filtering results, receive The user selects less interesting search terms from the screening results, and then multiplies the scores of these selected search terms by a recursive weight less than 1 or subtracts a recursive weight greater than 0. This is followed by the next automatic screening, which results in a condensed and more precise total number of creative elements.

In order to more clearly present the calculation method of the above score value, further examples are given below. The calculation method of the external weight can be a value obtained after normalizing the order of the arrangement. For example, according to a content keyword, after performing the above step S22, the search trend service returns a total of 20 popular search words, then After normalizing based on this total, the first of these popular search terms will have an outer weight of 1, and the last will have an outer weight of 0.05, and the outer weights of the popular search terms in order will be in order Decreases by 0.05 every time you retire. The calculation method of the internal weight can be as follows: from the creative material database, search for related content keywords/designated ranges that are similar to the current content keywords/designated ranges, and then select each related content keyword/designated range from each Among the creative elements stored together with the content keywords/specified interval, find out the creative elements similar to the current search term for statistics and normalization. The method of judging whether the current content keyword/designated section is similar to the content keyword/designated section in the creative material database, and the method of judging whether the current search word is similar to the creative element in the creative material database, can be the same as the steps S21 compares content keywords and candidate words in the same manner. For example, a popular shape word (or a search term similar to it) has been selected as a creative element 5 times in the past due to the associated content keyword, and is stored in the creative material database together with the content keyword, and It is the one with the highest matching frequency between the popular shape word and the content keyword that can be found in the creative material database according to the content keyword, and the internal weight of the popular shape word is 1. In this case, if the number of collocations between another popular shape word and the content keyword is 3 times, the internal weight of the other popular shape word is 1*3/5, that is, 0.6. The calculation method of the model weight can be, for example, the score value output by the neural network after the search word is input into the trained neural network.

In the above case, for the same weight, it can be used for different kinds of search terms Give different weights. For example, if the user pays more attention to popular shape words and ignores popular search terms and event search terms in the determination of external weights, the external weights of popular shape words can be updated by multiplying the weights greater than 1. value. Finally, each search term may have an original cardinality of 1, and the calculated score of a search term may be, for example: if the external weight of a search term is 0.3, the internal weight is 0.1 and the model weight is 0.4 , and the ratio of external weight, internal weight and model weight is 3:2:1 when generating the score value, then the score value of this search term can be obtained as 1*(0.3*3+0.1*2+0.4* 1), that is, 1.5, in which the proportion of internal weights and/or model weights may also be 0 because the number of records in the database is insufficient, that is, such weights are not considered.

Please continue to refer to FIG. 2 , after the creative elements are obtained, the method for generating creative materials of the present invention executes step S6 "Acquiring search results from a search engine based on the creative elements", wherein the search engine can be a network search engine and a system search At least one of the engines, and the so-called system search engine can be a combination of the creative material database stored in the processor 1 and the storage device 7 . Specifically, when the aforementioned search engine is a web search engine, the processor 1 controls the communication device 3 to transmit creative elements to the web search engine, and receives a plurality of searches from the web search engine returned by the communication device 3 . The result is, for example, multimedia materials such as articles, pictures, videos, and music. The web search engine can be a general search engine (such as Google web search, Microsoft Bing or Baidu search, etc.), but it can also be a multimedia search engine (such as YouTube) or a social search engine (such as Facebook, Twitter or Reddit, etc.) ). On the other hand, when the aforementioned search engine is a system search engine, the processor 1 directly retrieves the creative elements from the creative material database, thereby treating the materials accumulated in the storage device 7 as filtered materials, provided to users quickly.

Step S7 is "acquiring creative material data based on the search results", wherein the creative material data at least includes creative elements and at least a part of the search results obtained in the aforementioned step S6 (hereinafter referred to as content materials), but it can also be included in step S1 The obtained content keywords, the creative material name assigned to the creative material data, the creative material description supplemented by the creative material data, etc. Specifically, similar to the aforementioned step S5, in step S7, the processor 1 obtains and selects one or more search results corresponding to the creative element from the aforementioned search results as content materials according to another instruction. Likewise, the command can be generated by the input device 5 during the process of the user selecting one or more of the search results, or by executing another automatic screening process to obtain the command to generate the content material. However, compared with the automatic screening program executed in step S5, the difference between the automatic screening program executed in this step S7 is that each score value corresponds to each of the aforementioned search results; the basis for generating external weights is: The ranking order returned by the search engine; when generating the internal weight, it is based on the stored creative elements and the content materials recorded in the past (hereinafter referred to as the stored content materials, which are also stored in the creative material database), According to the matching times of the stored creative element and the stored content material corresponding to the current search result, even considering the combination of the stored creative element, the stored content material and the stored content keyword/stored specified interval at the same time The number of times of selection is used to determine the internal weight; the machine learning model used to generate the model weight is obtained by training the historical data of the same user's search results-score values. The aforementioned creative material names and creative material descriptions that can be part of the creative material data can also be input by the user through the input device 5 , and then stored in the creative material database by the processor 1 . In addition, similar to step S5, when step S7 is executed, a more accurate content material can also be obtained by setting a recursive weight.

Then, step S8 "save the creative material data in the creative material database" is executed. To be more specific, in actual operation, because the creative material database has been created and updated by performing step S8 in the past, when obtaining the search results from the system search engine in step S6, the processor 1 can, based on the creative elements, for example, The creative element compares the content material and/or the description of the creative material, and searches the creative material database to find the content material that matches the creative element. The content material stored in the creative material database (including web graphics and videos, or the creative graphics and text completed by the user) is the filtered material accumulated in the storage device 7 in the aforementioned step S6. Similarly, when the automatic screening process is executed in steps S5 and S7, the stored creative elements, stored content materials and stored content keywords/stored designated areas used to generate internal weights are also executed in step S8 The creative material data stored at the time.

In addition, with the above-mentioned creative material database (which has stored a large amount of creative material data generated and accumulated in the past), in step S7, in addition to using the aforementioned external weights, internal weights, The model weight and recursive weight can automatically filter out the search results that can be used as content materials, and can also include an auxiliary weight to participate in the automatic screening operation, and the auxiliary weight is based on the search results and auxiliary keyword data. The degree of association between auxiliary keywords in the library is obtained. The following is a detailed description of the implementation of the auxiliary keyword database, and how to generate the relevance and auxiliary weights.

With the aforementioned creative material database, the processor 1 can read these creative material data, and analyze the text part of the content material (for example, the file name, the text in the header file of the file), the creative material description and the content key. Word statistics training (wherein the text part of the content material and the description of the creative material can be pre-executed, such as the aforementioned semantic analysis program), to count one or more words that appear more frequently under each creative element in the creative material data (such as The ratio of the number of occurrences of words found under a creative element to the total amount of all words under this creative element is higher than a threshold), and these words are stored in the auxiliary keyword database to become auxiliary keys word. According to the training results, usually one creative element will correspond to multiple auxiliary keywords. Based on the above application method, an auxiliary keyword database can be implemented as follows: the auxiliary keyword database has a plurality of entries, each entry includes at least two fields, and a first column among the two fields A bit stores a creative element, and a second field stores an auxiliary keyword associated with the creative element obtained previously. Preferably, each entry in the auxiliary keyword database may further include a third field for storing the content keywords associated with the creative element (in the case where the creative element is selected from popular search terms or popular shape words) below) or the specified interval to which this creative element is associated (in the case where this creative element is selected from current affairs search terms).

From the above-mentioned auxiliary keyword database, the above-mentioned auxiliary weights can be obtained in the following manner. Assuming that the creative element A used in step S6 (or using a text similar to the creative element A) is generated based on the content keyword B (or based on the text similar to the content keyword B), the processor 1. It is possible to search for the entry that records the creative element A based only on the first column of the auxiliary keyword database, so as to obtain the auxiliary keyword C related to the creative element A recorded in the second column. Alternatively, in the embodiment with the aforementioned third field, the processor 1 may further search for an entry that records both the creative element A and the content keyword B based on the first and third fields of the auxiliary keyword database, so as to Get the auxiliary keyword C (which is also associated with creative element A) recorded in the second column of these entries and content keyword B), so one or more auxiliary keywords with high similarity to the content keyword of interest are selected. Subsequently, the processor 1 calculates the degree of relevance according to each search result and the selected at least one auxiliary keyword. The calculation method of the above-mentioned degree of association can be, for example, to perform a string similarity comparison between the text content of a search result and the at least one auxiliary keyword respectively (the execution method of this string similarity comparison can be the same as that in step S21 . After comparing the content keywords and candidate words in the same way), take a supplementary keyword or its similar words with the highest number of occurrences in all search results as the normalized denominator, and use the aforementioned supplementary keyword or its similar words as the normalized denominator. The number of occurrences in this search result is the normalized numerator to calculate the parameters of this auxiliary keyword in this search result. Finally, the parameters of various auxiliary keywords appearing in the search result are added up to obtain the degree of relevance between the search result and the at least one auxiliary keyword, and the relevance degree is used as the auxiliary weight of the search result. value. However, in the case where multiple auxiliary keywords or similar words appear in the same search result, the correlation degree may be multiplied by an adjustment ratio greater than 1 corresponding to the number of types of auxiliary keywords before being used as the auxiliary weight.

For example, the auxiliary keywords obtained from the auxiliary keyword database based on creative elements and content keywords include X, Y and Z; among all the search results, X appears the most in search result O 5 times, and Y The number of occurrences of the search result P is 6 times the most, while the number of occurrences of Z in the search result Q is the most 7 times; if only X appears in a search result and the number of occurrences is 3, then the parameter associated with the search result X is 3/5, the parameter associated with Y is 0, and the parameter associated with Z is also 0, so the correlation degree of this search result can be obtained as 0.6 (that is, 3/5+0+0), as this Auxiliary weight for search results. In another case, if X and Z appear in another search result, and the number of occurrences is 3 and 5, respectively, then the parameter associated with X in this search result is 3/5, and the parameter associated with Y is 0, And the parameter associated with Z is 5/7, so the correlation degree of this search result can be obtained as 1.31 (ie, 3/5+0+5/7), which is used as an auxiliary weight of this other search result. In addition, since the aforementioned search results are related to X and Z at the same time, the correlation degree can be multiplied by an adjustment ratio of 1.2, for example, to obtain an auxiliary weight of 1.58, thereby further highlighting the search with multiple auxiliary keywords at the same time result.

After the auxiliary weight is obtained, the auxiliary weight can be used together with the internal weight, the external weight and the model weight to calculate the score of the search result. For example, when the external weight of a certain search result is is 0.3, the internal weight is 0.1, the model weight is 0.4 and the auxiliary weight is 0.6, and the ratio of the internal weight, the external weight, the model weight and the auxiliary weight when generating the score value is 3:2:1: 2, then the score value of this search term is 1*(0.3*3+0.1*2+0.4*1+0.6*2), which is 2.7.

In addition, the system 10 may further perform step S9 "sort and display the search results as content materials" after obtaining the content material in step S7. In detail, when the above-mentioned search results as content materials are to be presented, the score value of each content material or a certain weight used to determine the score value can be used to further determine the search results of these content materials. Arrange the order to allow the user to get the applicable content material from the displayed content more quickly.

Continuing from the above, FIG. 3 is a detailed implementation flowchart of an embodiment of step S9, especially by the aforementioned method of generating auxiliary weights, the arrangement of the presented content materials is determined according to the numerical value of the auxiliary weights when step S9 is executed order, that is, step S9 in this embodiment may include step S91 "comparing at least the creative element with the auxiliary keyword database to obtain auxiliary keywords", step S92 "searching according to auxiliary keywords and content materials" Rank these search results according to the degree of relevance of the results" and step S93 "display the above-arranged search results". However, the implementation of step S9 "sorting and displaying the search results as content materials" is not limited to that shown in FIG. 3 , and may also be based on the aforementioned internal weights, external weights, model weights and auxiliary weights. Either one, or even many of the above weights, may be sorted directly according to the score value of the search results.

In addition, regarding the application of the aforementioned auxiliary keyword database, after executing step S5 to obtain the search words, the processor 1 first executes step S91 to find a plurality of auxiliary keywords corresponding to creative elements before executing step S6. Then, step S6 is executed to input the auxiliary keywords and creative elements into the network search engine together. Thereby, the search results obtained in step S6 have been further screened by auxiliary keywords.

To sum up, the present invention proposes a system for generating creative materials, thereby expanding the creative materials required for the production of marketing content data, so as to save the user's time cost for self-conception, exploring current affairs information, and thinking and digesting the data, and automatically The way to provide creative materials with creative concepts for users to package marketing content.

Although the present invention is disclosed in the foregoing embodiments, it is not intended to limit the present invention. Changes and modifications made without departing from the spirit and scope of the present invention belong to the scope of patent protection of the present invention. For the protection scope defined by this new model, please refer to the attached patent application scope.

10: A system for generating creative material

1: Processor

3: Communication device

5: Input device

7: Storage device

20: Server

N: network

Claims (8)

A system for generating creative material, including: a processor for determining at least one of at least one popular search term, at least one topical search term and at least one popular shape word as at least one creative element, wherein the at least one popular search term and the at least one popular shape word are associated with For at least one content keyword, the at least one topical search term is associated with at least a specified interval, the processor obtains a plurality of search results obtained by a search engine based on the at least one creative element, and performs the searches according to an instruction Selecting at least one of the results as at least one content material, and using at least the at least one creative element and the at least one content material respectively corresponding to the at least one creative element as the at least one creative material; an input device electrically connected to the processor for selectively generating the instruction and transmitting the instruction to the processor; and A storage device is electrically connected to the processor, and the storage device has a creative material database for storing the at least one creative material data. The system for generating creative materials according to claim 1 further includes a communication device, and the storage device further stores a creative database, wherein the processor executes a word segmentation program and a semantic analysis program according to a text data to obtain the at least A content keyword, which is performed in the creative database according to the at least one content keyword Comparing to obtain at least one creative keyword, and the processor controls the communication device to transmit the at least one creative keyword to a search trend service to obtain the popular search term. The system for generating creative materials as claimed in claim 2, wherein the creative database has a plurality of entries each including a first field and a second field, wherein the first field stores a relationship with the at least one content A candidate word for keyword comparison, and the second field stores a homophone word with homophonic puns associated with the candidate word, and the at least one creative keyword is at least one homophone word in the items. The system for generating creative materials according to claim 1 further includes a communication device, wherein the processor controls the communication device to transmit the specified interval to a search trend service to obtain the at least one current affairs search term. The system for generating creative materials according to claim 1 further includes a communication device, and the storage device further stores a shape database, wherein the processor executes a word segmentation program and a semantic analysis program according to a text data to obtain the at least a content keyword, controlling the communication device to transmit the at least one content keyword to an image search engine to obtain at least one image, executing an image analysis program to generate a feature point distribution of each of the at least one image, and inputting the The feature points of at least one image are distributed to the shape database to obtain at least one shape keyword, and the communication device is controlled to transmit the shape keyword to a search trend service to obtain the at least one popular shape word. The system for generating creative materials according to claim 5, wherein the shape database has a plurality of entries each including a first field and a second field, wherein the first field stores a combination of shape feature points, the The second field stores a shape descriptor, and the at least one shape keyword is at least one shape descriptor in the entries. The system for generating creative materials according to claim 1, wherein the storage device further stores an auxiliary keyword database, and the processor performs comparison with the auxiliary keyword database according to the at least one creative element to obtain at least one auxiliary key word, and generate an auxiliary weight according to the degree of association between the search result and the at least one auxiliary keyword, and the command is associated with the auxiliary weight. The system for generating creative materials according to claim 7, wherein the auxiliary keyword database has a plurality of entries each including a first field and a second field, wherein the first field stores a creative element, the The second field stores the auxiliary keyword associated with the creative element in the first field, and the obtained at least one auxiliary keyword is one of at least one item similar to the at least one creative element among the items. Auxiliary keywords.

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