KR102335408B1 - Method and apparatus for managing movie tribute language - Google Patents

Abstract

The present invention relates to a method and apparatus for managing a movie attribute language. In the movie attribute language management method of the present invention, when a specific upper attribute keyword is selected from among a plurality of upper attribute keywords by an information providing device through a terminal, the upper attribute keyword selected by the information providing device generating an intermediate attribute set including a middle attribute keyword having the 　1th upper attribute-middle attribute correlation greater than or equal to a reference value based on the 　1th upper attribute-middle attribute association degree; providing, by the information providing device, an interface for adding or deleting an intermediate attribute keyword to the intermediate attribute set together with the upper-level attribute keyword, adding or deleting an intermediate attribute keyword to the intermediate attribute set according to a user input; calculating, by the information providing device, the 1st middle attribute keyword-object relevance corresponding to the selected upper attribute keyword and object pair based on the 1st middle attribute keyword-object relevance; providing, by the information providing device, an object corresponding to the 　 1 　 upper attribute keyword-object relevance degree to the interface; and providing an interface including the intermediate attribute set, and receiving a second-order attribute-middle attribute association degree for each of the intermediate attribute keywords selected in the interface.

Description

Method and apparatus for managing movie properties language {METHOD AND APPARATUS FOR MANAGING MOVIE TRIBUTE LANGUAGE}

At least some embodiments of the present specification relate to a method and apparatus for managing a movie attribute language.

According to the conventional search method, a user can search for and find a desired web document by inputting a search keyword into a search window. For example, a user may search for information about the movie "Interstellar" by entering the movie title "Interstellar" into the search box. However, if the user cannot remember the title of the movie he is looking for, another method of providing information is required. The user may try to search by entering, for example, an actor who appeared in a movie to be found, a director, a producer, or the like of the movie as keywords. Since movie information sites or movie review sites often provide cast information along with movie information, users may be able to find the movie they want by keywords such as actors, directors, producers, etc., unless you are lucky.

However, furthermore, if information is provided based on an atypical language, for example, an emotional language, rather than the standardized information, the conventional search method cannot be used. For example, the response provided by conventional search engines to a search term such as "fun movie" or "movie to watch when sad" is a search for documents written by someone including the keyword "fun movie" or "movie to watch when sad". will only do However, atypical language requires a different approach from standardized information such as actors, (standardized) movie genres, and release year. Even if someone didn't include the keywords "fun movie" or "a movie to watch when you're sad", there may actually be movies that many people find "fun" or "good to watch when you're sad." Furthermore, for fields other than movies, a different approach may be required for information provision requests using non-standardized language.

1. Korean Patent Registration No. 10-0943962 "Method for providing emotional-based item search service, database construction method and search server" (Announcement date: 2010.02.26.)

An embodiment of the present specification provides a method and apparatus for managing a movie attribute language.

A movie attribute language management method according to an embodiment of the present specification includes a terminal and an information providing device connected to the terminal and a communication network through a communication network, and providing a plurality of upper attribute keywords and middle attribute keywords to the terminal. A method for managing a movie attribute language by an apparatus, wherein when the information providing device selects a specific upper attribute keyword from among the plurality of upper attribute keywords through the terminal, the upper attribute keyword selected by the information providing apparatus generating an intermediate attribute set including a middle attribute keyword having the 　1th upper attribute-middle attribute association greater than or equal to a reference value based on the 　1th upper attribute-middle attribute association degree corresponding to the pair; providing, by the information providing device, an interface for adding or deleting an intermediate attribute keyword to the intermediate attribute set together with the upper-level attribute keyword, adding or deleting an intermediate attribute keyword to the intermediate attribute set according to a user input; calculating, by the information providing device, the 1st middle attribute keyword-object relevance corresponding to the selected upper attribute keyword and object pair based on the 1st middle attribute keyword-object relevance; providing, by the information providing device, an object corresponding to the 　 1 　 upper attribute keyword-object relevance degree to the interface; and providing an interface including the intermediate attribute set, and receiving a second-order attribute-middle attribute association degree for each of the intermediate attribute keywords selected in the interface.

The movie attribute language management apparatus according to an embodiment of the present specification includes a terminal and an information providing apparatus connected to the terminal and a communication network through a communication network, and providing a plurality of upper attribute keywords and middle attribute keywords to the terminal. As an apparatus, the information providing device stores a first intermediate attribute keyword-object association degree corresponding to an upper attribute keyword 　-　 middle attribute keyword pair and a first intermediate attribute keyword-object association degree corresponding to the middle attribute keyword and object pair storage unit; Based on the 　1th upper attribute-middle attribute relevance degree, an intermediate attribute set including a middle attribute keyword having the 　1th 　highest attribute-middle attribute relevance greater than or equal to a reference value is generated, and the middle attribute set together with the upper attribute keyword a control unit that provides an interface for adding or deleting an intermediate attribute keyword; and a communication unit receiving an input of addition or deletion of a middle-level attribute keyword to the middle-level attribute set according to a user input through the interface, wherein the information providing device allows the information providing device to transmit the plurality of higher-order attribute keywords through the terminal When a specific upper attribute keyword is selected among generating an intermediate attribute set including an intermediate attribute keyword having an intermediate attribute relevance, providing an interface for adding or deleting an intermediate attribute keyword to the intermediate attribute set together with the upper attribute keyword; Adds or deletes a middle attribute keyword to the attribute set, calculates the 　 1st upper attribute keyword-object association corresponding to the selected upper attribute keyword and object pair based on the 1st middle attribute keyword-object association degree, 1　Provides an object corresponding to the upper attribute keyword-object relevance to the interface, provides an interface including a set of attributes, and 　For each intermediate attribute keyword selected through the interface, the second 　higher attribute-middle attribute relevance The input is received, and the 　1th upper attribute-middle attribute relevance is corrected by reflecting the received 　2　higher attribute-middle attribute relevance.

According to an embodiment of the present specification, a method and apparatus for managing a movie attribute language may be provided.

1 is a network configuration diagram of an information providing system using a movie attribute language according to an embodiment of the present specification.
2 is a block diagram of a terminal 200 according to an embodiment of the present specification.
3 is a block diagram of an information providing apparatus 300 according to an embodiment of the present specification.
4 is a flowchart of an information providing process through an information providing interface according to an embodiment of the present specification.
5 is a detailed flowchart of step 910 according to an embodiment of the present specification.
6 is a detailed flowchart of step 510 according to an embodiment of the present specification.
7 is a detailed flowchart of step 530 according to an embodiment of the present specification.
8 is a detailed flowchart of step 910 according to another embodiment of the present specification.
9 is a flowchart of a method for managing a movie attribute language according to an embodiment of the present specification.
10 is an example of a stored object-keyword association according to an embodiment of the present specification.
11 is a detailed flowchart of operation 940 according to an embodiment of the present specification.
12 is an example of an interface page including an attribute filter according to another embodiment of the present specification.
13 is an example illustrating a portion of an interface page including an attribute filter according to an embodiment of the present specification.
14 and 15 are examples of an interface page including a second attribute filter according to an embodiment of the present specification.
16 is an example of an interface page including a result preview unit according to an embodiment of the present specification.
17 is an example of an interface page including an attribute filter according to another embodiment of the present specification.
18 is an example of an interface page including a weight control unit according to an embodiment of the present specification.

Hereinafter, embodiments of the present specification will be described in detail with reference to the accompanying drawings.

In describing the embodiments, descriptions of technical contents that are well known in the technical field to which the present specification belongs and are not directly related to the present specification will be omitted. This is to more clearly convey the gist of the present specification without obscuring the gist of the present specification by omitting unnecessary description.

For the same reason, some components are exaggerated, omitted, or schematically illustrated in the accompanying drawings. In addition, the size of each component does not fully reflect the actual size. In each figure, the same or corresponding elements are assigned the same reference numerals.

Hereinafter, embodiments of the present specification will be described with reference to the drawings.

According to some embodiments of the present specification, a reserved word may mean a character string that is expressed or defined through relevance information with other keywords or whose characteristics, usage methods, properties, etc. can be expressed and defined. However, other methods, for example, reserved words defined/expressed according to manual input by an administrator may be applied to the present invention. A detailed configuration of the relevance information will be described later. The reserved word may be referred to as a ^{keytalk TM} in the sense that it becomes a key of talk.

1 is a network configuration diagram of an information providing system using a movie attribute language according to an embodiment of the present specification.

Referring to FIG. 1 , an information providing system according to an embodiment of the present specification may include a terminal 200 , an information providing apparatus 300 , and a communication network 150 .

The terminal 200 may be implemented as an electronic device or similar device capable of performing, for example, a smart phone, PDA, tablet PC, notebook computer, laptop computer, personal computer, other communication, receiving user input, and outputting a screen. can

The terminal 200 may be the manager terminal 200 - 1 or the customer terminal 200 - 2 .

The manager terminal 200 - 1 is, for example, a terminal used by a manager providing an information service.

The customer terminal 200 - 2 is a terminal used by a customer who is provided with an information service.

The information providing device 300 may be implemented as, for example, a workstation, a server, a general computer, other electronic devices capable of performing communication, or similar devices.

As shown in FIG. 1 , the terminal 200 and the information providing apparatus 300 are connected through a communication network 150 and may communicate with each other through the communication network 150 . Also, the manager terminal 200 - 1 may access the information providing apparatus 300 through an interface directly provided by the information providing apparatus 300 .

When the manager terminal 200 - 1 accesses the information providing device 300 through an interface directly provided by the information providing device 300 , the information providing device 300 includes the configuration of a web server or an application server. In this case, the configuration of the web server/application server included in the information providing device 300 may be referred to as an interface module. The interface module may serve as a web server/application server to be described later. The web server/application server may input information or transmit a request message to an accessed terminal through an interface, and may receive information and/or a request message transmitted by the accessed terminal.

The communication network 150 is, for example, Long Term Evolution (LTE), LTE-Advanced (LTE-A), WI-FI, Local Area Network (LAN), Wide Area Network (WAN), Code Division Multiple Access (CDMA), TDMA (Time Division Multiple Access), WiBro (Wireless Broadband), GSM (Global System for Mobile Communications) may be implemented using at least some of the communication methods developed in the past, present or available in the future. Hereinafter, for convenience, the communication network 150 is not mentioned and the terminal 200 and the information providing device 300 directly communicate with each other.

When the information providing device 300 provides interfaces for both the manager terminal 200-1 and the customer terminal 200-2, when a pre-registered user (administrator) approaches, for object recommendation and movie attribute language management An interface is provided, and when other general users (customers) access, an interface for inquiring limited information such as one's own object search and inquiry may be provided.

The information providing apparatus 300 may perform a user authentication or terminal authentication procedure to provide such a differentiated interface. For example, the information providing apparatus 300 determines whether the connected terminal is a manager terminal or a customer terminal through a user authentication process with the connected terminal. Alternatively, the information providing apparatus 300 may register as an administrator terminal through terminal authentication of the connected terminal. Since the user authentication or terminal authentication procedure between the information providing apparatus 300 and the terminal 200 is a technology that has already been put to practical use, a detailed description thereof will be omitted.

Specific operations and configurations of the terminal 200 and the information providing apparatus 300 will be described later with reference to FIGS. 2 to 8 .

2 is a block diagram of a terminal 200 according to an embodiment of the present specification.

Referring to FIG. 2 , the terminal 200 according to an embodiment of the present specification may include an input unit 210 , a display unit 220 , a communication unit 230 , a storage unit 240 , and a control unit 250 .

The input unit 210 converts a user's input operation into an input signal and transmits it to the control unit 250 . The input unit 210 may be implemented as, for example, a keyboard, a mouse, a touch sensor on a touch screen, a touch pad, a keypad, a voice input, or other input processing devices that are possible in the present, past or future. The input unit 210 may receive, for example, a user's information provision request input and transmit it to the control unit 250 .

The display unit 220 outputs a screen under the control of the control unit 250 . The display unit 220 may be embodied as, for example, a liquid crystal display (LCD), a light emitting diode (LED), an organic light emitting diode (OLED), a projector, or other display devices capable of present, past or future. The display unit 220 may display, for example, an interface page for providing information or an information provision result page. According to an embodiment, a component that uses another method for transmitting information to a user such as voice output or vibration instead of screen output may be used instead of the display unit 220 .

The communication unit 230 exchanges data with the information providing device 300 and/or other external devices. The communication unit 230 transmits the data received from the information providing apparatus 300 to the control unit 250 . Also, the communication unit 230 transmits data to the information providing apparatus 300 under the control of the control unit 250 . The communication technology used by the communication unit 230 may vary depending on the type of the communication network 150 or other circumstances.

The storage unit 240 stores data under the control of the control unit 250 and transmits the requested data to the control unit 250 .

The controller 250 controls the overall operation of the terminal 200 and each component. In particular, the control unit 250 transmits an information provision request and other data to the information providing apparatus 300 according to information input from the input unit 210 as will be described later, and according to the page information received from the information providing apparatus 300 . A result page and/or an interface page is displayed through the display unit 220 .

An operation performed by the control unit 250 may be distributed and processed by several physically separated arithmetic units. It is also possible that some of the operations performed by the controller 250 are performed by the first server and other operations performed by the second server. In this case, the control unit 250 may be implemented as a sum of physically separated arithmetic devices.

The storage unit 240 may be implemented as a total of physically separated storage devices.

When the control unit 250 or the storage unit 240 is implemented as a sum total of several physically separated devices, communication between multiple devices may be required. Here, for the sake of simplification of description, it is assumed that the storage unit 240 or the control unit 250 is implemented as one object.

When the terminal 200 transmits/receives data, it may be expressed that the communication unit 230 transmits/receives data according to the control of the control unit 250 depending on the viewpoint, or that the control unit 250 controls the communication unit 230 to transmit/receive data. can also express

A detailed operation of each component of the terminal 200 will be described later with reference to FIGS. 4 to 8 .

3 is a block diagram of an information providing apparatus 300 according to an embodiment of the present specification.

Referring to FIG. 3 , the information providing apparatus 300 according to an embodiment of the present specification may include a communication unit 310 , a control unit 320 , and a storage unit 330 .

The communication unit 310 exchanges data with the terminal 200 and/or other external devices. The communication unit 310 transmits the data received from the terminal 200 to the control unit 320 . Also, the communication unit 310 transmits data to the terminal 200 under the control of the control unit 320 . The communication technology used by the communication unit 310 may vary depending on the type of communication network 150 or other circumstances.

The storage unit 330 stores data under the control of the control unit 320 and transmits the data requested from the control unit 320 to the control unit 320 .

The controller 320 controls the overall operation of the information providing apparatus 300 and each component. As will be described later, the control unit 320 also retrieves the necessary data from the storage unit 330 when the control unit 320 receives the interface page request, the information provision result page request, and other data through the communication unit 310 ( load) generates page information and transmits the page information to the terminal 200 through the communication unit 310 .

When the information providing device 300 transmits/receives data, it may be expressed that the communication unit 310 transmits/receives data according to the control of the control unit 320 depending on the viewpoint, and the control unit 320 controls the communication unit 310 to transmit data. It can also be expressed as sending and receiving.

A detailed operation of each component of the information providing apparatus 300 will be described later with reference to FIGS. 4 to 8 .

According to another embodiment, instead of a page for visually providing information, data for providing information through voice or other methods may be transmitted and received.

4 is a flowchart of an information providing process through an information providing interface according to an embodiment of the present specification.

In step 410, the controller 320 of the information providing apparatus 300 generates interface page information. The interface page information is information necessary to create an interface page. The interface page is a page for inducing a user's input, receiving the user's input, and delivering it to the information providing apparatus 300 . For example, the interface page information may be in the form of an HTML document or other markup language document. In another embodiment, the terminal 200 has the format information of the interface page in advance, and only the information corresponding to the content may be transmitted from the information providing apparatus 300 to the terminal 200 . Hereinafter, for convenience, it is assumed that interface page information or other page information is transmitted in the form of an HTML document. However, the scope of the present specification is not limited thereto.

In step 420 , the communication unit 310 of the information providing apparatus 300 transmits interface page information to the terminal 200 .

In step 430, the controller 250 of the terminal 200 configures an interface page using the interface page information. For example, the controller 250 may configure the interface page in the form of a web page by driving a web browser to interpret the HTML document. A separate application may be used instead of the web browser.

In step 440 , the display unit 220 of the terminal 200 displays an interface page to the user 400 . The interface page may include, for example, an interface through which the user 400 can request information provision, input and/or select keywords for information provision, and set other information provision.

In step 450 , the input unit 210 of the terminal 200 receives the selection input of the user 400 input through the interface page and transmits it to the control unit 250 .

In step 460 , the communication unit 230 of the terminal 200 transmits input information for identifying the user's selection input to the information providing apparatus 300 under the control of the control unit 250 .

In step 470 , the controller 320 of the information providing apparatus 300 generates result page information by using a user's input (eg, keyword and/or other information provision setting). A preparation process for generating result page information and a process for generating result page information will be described later with reference to FIGS. 5 to 11 . The result page information may be configured in an HTML document format and/or an image format, for example.

In step 480 , the communication unit 310 of the information providing apparatus 300 transmits result page information to the terminal 200 .

In step 490 , the control unit 250 of the terminal 200 configures a result page using the result page information received by the communication unit 230 . For example, the controller 250 may configure the result page by interpreting the result page information in HTML format.

In step 495, the display unit 220 of the terminal 200 provides a result page to the user.

Although it is assumed in the embodiment of FIG. 4 that a page in a visual form is provided to the user, it is also possible to provide an interface or result information through voice. In this case, an audio output unit may be used instead of the display unit 220 . Instead of the visual/auditory method, another interface method that is currently possible or will be possible in the future may be used in the relationship with the user 400 . In this case, the information providing apparatus 300 may provide the terminal 200 with information converted in another method instead of page information to match the interface method.

In the embodiment shown in FIG. 5 and later, the user 400 wants to be provided with information about an object in a specific field of interest in which he or she is interested. However, the scope of the present specification is not limited thereto.

A field of interest (item of interest) can be, for example, a type of object. For example, if the field of interest is 'great person', objects corresponding to the field of interest may include 'King Sejong the Great', 'Sunshin Yi', and 'Imdang Sim'. For example, if the field of interest is 'movie', objects corresponding to the field of interest may include 'Men in**', 'Spider*', and 'Player**'. For example, if the field of interest is 'broadcast program', objects corresponding to the field of interest may include 'infinite**', '** of the jungle', '** of the throne', and the like.

In the following embodiments, documents are collected to evaluate relationships (relevance/weight, etc.) between keywords. All of the collected documents may be evaluated as having an equal value, or the newest document may be evaluated as having a higher value. That is, the correlation between the age of the evaluation time reference document and keywords appearing in the document may have a negative correlation.

Even in the process subsequent to FIG. 5, which will be described later, the value may be evaluated differently according to the freshness of the document. For example, a case in which two keywords appear together in a document 1 day after the evaluation time may be evaluated with a 10-fold higher relevance than a case in which the two keywords appear together in a document 10 days after the evaluation time. The age of the document may be evaluated, for example, in units of seconds/minutes/hours, or in units of days/months/years, etc. The control unit 320 divides the partial relevance value of the document evaluated before the age of the document is reflected by the age of the document to set the partial relevance in which the document age is reflected, and accumulates the partial relevance between the two keywords relationship can be set.

The creation time of a document to confirm the age of a document is determined using, for example, the publication time and/or metadata contained within the document, or through periodic crawling, when a document not found in the previous crawling is newly discovered. In this case, it may be determined that a new document was added at a new crawling time.

5 is a flowchart illustrating a method of storing object-keyword association as a preprocessing process for movie attribute language management according to an embodiment of the present specification.

Referring to FIG. 5 , in step 510 , the controller 320 determines a representative attribute keyword candidate set from the first set of documents. For example, the controller 320 may collect keywords frequently appearing in a document corresponding to an area of interest among the first set of documents as a representative attribute keyword candidate set.

6 is a detailed flowchart of step 510 according to an embodiment of the present specification.

The control unit 320 selects keywords appearing in the document, such as object keywords indicating object items belonging to a specific field, and keywords appearing in the document, such as field keywords, indicating the specific field as a first attribute keyword candidate set and a second attribute keyword candidate. It can be set as a set.

For example, if the field of interest to which the information service is provided is a celebrity, the field keyword may include 'celebrity', 'celebrity', 'movie actor', 'star', 'celeb', 'celeb', and the like. The field keyword may be set by an administrator or recommended and set by the controller 320 . After acquiring some field keywords, the controller 320 may recommend/set similar keywords whose relevance with the field keywords is analyzed to be greater than or equal to a preset value as additional field keywords.

If the field of interest is a celebrity, the object keyword may be an individual person belonging to the field of interest. That is, each person corresponding to a celebrity in the field of interest may be an object keyword.

To describe the relationship between the field keyword and the object keyword, for example, the field keyword may correspond to an attribute or type of the object keyword. If the field keyword indicates a set, the object keyword may be an element that belongs to the set.

The object keyword may be set by an administrator or may be selected in a manner similar to the field keyword. According to another embodiment, the controller 320 may analyze the context of the collected documents and select keywords determined as elements belonging to the set indicated by the field keyword as the object keyword.

Popular object keywords and unpopular object keywords may be classified according to the amount of searches/collections of the corresponding object keywords. The controller 320 may search/collect documents including each object keyword, set object keywords with a collection amount equal to or greater than a specific threshold as popular object keywords, and set the remaining object keywords as unpopular object keywords.

A keyword in a popular field and a keyword in an unpopular field may be classified according to a search/collection amount of the keyword in the corresponding field. The controller 320 may search/collect documents including each field keyword, set field keywords with a collection amount equal to or greater than a specific threshold as popular field keywords, and set the remaining field keywords as unpopular field keywords. However, the threshold value for discriminating the popular object keyword and the unpopular object keyword and the threshold value for discriminating the popular field keyword-unpopular field keyword may be different values. Hereinafter, for convenience, the popular object keyword and the popular field keyword are collectively referred to as a popular field object keyword. Also, for convenience, unpopular object keywords and unpopular field keywords are collectively referred to as unpopular field object keywords.

In a modified embodiment, only the popular field keyword or the popular object keyword may be used instead of the popular field object keyword. In a modified embodiment, only the unpopular field keyword or the unpopular object keyword may be used instead of the unpopular field object keyword.

In step 610, the controller 320 sets keywords appearing together in the document, such as the popular field object keyword, as the first attribute keyword candidate set.

The controller 320 may search/collect documents including popular field object keywords, and set keywords included in the collected documents as the first attribute keyword candidate set. According to another embodiment, the controller 320 may exclude a field keyword and an object keyword among keywords included in the collected document from the first attribute keyword candidate set. In addition, the control unit 320 may exclude preset meaningless keywords, for example, search/article, etc. from the first attribute keyword candidate set. According to another embodiment, the controller 320 may include a keyword registered in a preset dictionary among keywords included in the collected document in the first attribute keyword candidate set.

According to another embodiment, the control unit 320 searches/collects documents including the popular field object keyword, and searches for keywords arranged within a preset distance from the popular field object keyword or a sentence including the popular field object keyword in the collected documents. It may be included in the first attribute keyword candidate set. According to another embodiment, the control unit 320 searches/collects documents including the popular field object keyword, analyzes the context, and selects keywords used for formulating/explaining the popular field object keyword as the first attribute keyword candidate It can also be included in a set.

The distance between keywords or the distance between keywords and sentences is, for example, the number of sentences located between two keywords or keywords and sentences, the number of words located between two keywords or keywords and sentences, and the distance between two keywords or keywords and sentences. It may be determined based on any one or more of the number of positioned word words, two keywords, or the number of characters between the keyword and the sentence.

The controller 320 may first perform morpheme analysis for keyword analysis.

In step 620, the control unit 320 sets keywords appearing together in the document, such as the unpopular field object keyword, as the second attribute keyword candidate set.

The controller 320 may search/collect documents including unpopular field object keywords, and set keywords included in the collected documents as the second attribute keyword candidate set. According to another embodiment, the controller 320 may exclude a field keyword and an object keyword among keywords included in the collected document from the second attribute keyword candidate set. In addition, the controller 320 may exclude preset meaningless keywords, for example, search/article, etc. from the second attribute keyword candidate set. According to another embodiment, the controller 320 may include a keyword registered in a preset dictionary among keywords included in the collected document in the second attribute keyword candidate set.

According to another embodiment, the control unit 320 searches for/collects documents including unpopular field object keywords, and searches for keywords arranged within a preset distance from the unpopular field object keywords or sentences including the unpopular field object keywords in the collected documents. It may be included in the second attribute keyword candidate set. According to another embodiment, the control unit 320 searches/collects documents including unpopular field object keywords, analyzes the context, and selects keywords used for formulating/explaining unpopular field object keywords as second attribute keyword candidates. It can also be included in a set.

The distance between keywords or the distance between keywords and sentences is, for example, the number of sentences located between two keywords or keywords and sentences, the number of words located between two keywords or keywords and sentences, and the distance between two keywords or keywords and sentences. It may be determined based on any one or more of the number of positioned word words, two keywords, or the number of characters between the keyword and the sentence.

The controller 320 may first perform morpheme analysis for keyword analysis.

In operation 630, the controller 320 may set keywords belonging to both the first attribute keyword candidate set and the second attribute keyword candidate set as the representative attribute keyword candidate set. That is, keywords used both as expressions for modifying popular field object keywords and as expressions for modifying unpopular field object keywords may be collected in the representative attribute keyword candidate set.

According to another embodiment, in step 510 , the controller 320 may include keywords appearing together with the object keyword and/or the field keyword in the representative attribute keyword candidate set regardless of whether it is popular or unpopular.

Returning to FIG. 5 , in step 520 , the controller 320 determines two or more sub-keywords associated with each representative attribute keyword included in the representative attribute keyword candidate set from the second set of documents.

The second set document used for extracting the subkeywords in step 520 and the first set document used for extracting the representative attribute keyword candidate set in step 510 may be different document sets or the same document set. For example, the first set document may be a set including all of the collectible documents, and the second set document may be a set including only documents in which a specific area of interest to provide an information providing service is used as a main keyword. . The control unit 320 may analyze the collectible documents and analyze whether each document is a document in which a specific area of interest for which an information providing service is to be provided is used as a main keyword based on frequently appearing keywords. According to another embodiment, both the first and second aggregate documents may be sets including all of the collectable related documents. According to another embodiment, the first set document may be a set including all collectable related documents, and the second set document may be a set including only documents related to a specific area of interest to which an information providing service is to be provided. According to another embodiment, the second set of documents may be a set including all collectable related documents, and the first set of documents may be a set including only documents related to a specific area of interest to which an information providing service is to be provided.

For step 520, for example, the control unit 320 generates a set including only documents related to a specific field of interest to which an information providing service is to be provided, and/or documents including field keywords indicating the field of interest. Alternatively, a set including only documents related to a specific field of interest may be generated by collecting documents including object keywords belonging to a corresponding field of interest, and extracting documents in which the proportion of field keyword/object keyword is greater than or equal to a preset value. The weight of the field keyword/object keyword can be determined based on the frequency, appearance location, and context of the field keyword/object keyword. For example, documents in which field keywords/object keywords frequently appear, field keywords/object keywords are used as the title of the corresponding document, or are displayed in large letters or fonts for emphasis may be classified as documents related to a specific field of interest.

In step 520, for example, the control unit 320 analyzes at least a portion of the second set of documents to extract a preset number of sub-keywords having the highest relevance to each representative attribute keyword by a preset number of two or more sub-keywords associated with each representative attribute keyword. Keywords can be extracted.

For example, the control unit 320 may set the degree of association between the representative attribute keyword and the sub-keyword in consideration of the frequency in which the sub-keyword appears in the same or similar context as the representative attribute keyword. For example, it can be seen that words appearing around the keyword A in a specific sentence may appear around the word related to the keyword A in other documents as well.

"I went on a trip with a big heart, but it was July and the weather was too hot, so I had a hard time."

"I went on a trip with a big heart, but it was July and the weather was too humid, so I had a hard time."

Looking at the two sentences above, the word "because it's hot" is replaced with the word "because it's wet" in the same context. The controller 320 may infer that “hot” and “wet” are related words.

"I went on a trip with a big heart, but it was July and the weather was too hot, so I had a hard time."

"I went on vacation with a lot of heart, but it was July and the weather was so hot that I had a hard time."

Similarly, the controller 320 may infer that “travel” and “vacation” are related words from the above two sentences.

"I went on a trip with a big heart, but it was July and the weather was too hot, so I had a hard time."

"I went on a trip with a lot of heart, but it was August and the weather was so hot that I had a hard time."

Similarly, the controller 320 may infer that "July" and "August" are related words through the above two sentences.

The controller 320 determines that “hot” and “wet” are related words, “July” and “August” are related words, and “travel” and “vacation” are related words through previously collected documents. It is possible to save It is assumed that the following sentences are collected later.

"I went on vacation with a big heart, but it was July and the weather was too humid, so I had a hard time."

“I went on a trip with a big heart, but it was difficult because it was August and the weather was too hot.”

If the two sentences are not in the same context, but know that "hot" and "wet" are related words, "July" and "August" are related words, and "travel" and "vacation" are related words, the control unit 320 ) from the above sentence, you can learn that "it was hard" and "it was hard" are also related words.

A keyword pair with high frequency appearing in the same/similar context may be determined to be highly correlated with each other. In addition, it can be determined that the higher the similarity of the context in which the two keywords appear, the higher the correlation between the two keywords. The control unit 320 sets the degree of relevance between keywords by learning using the collected documents, and sets the degree of relevance of keywords appearing in the corresponding sentence using the set relevance between keywords and the context of the sentence. It is possible to increase the accuracy of the interrelationship judgment.

As similar learning methods, NNLM (Neural Net Language Model), RNNLM (Recurrent Neural Net Language Model), word2vec, skipgram, and CBOW (Continuous Bag-of-Words) methods are known. In particular, when word2vec is used, word2vec learns from documents and matches each keyword to a vector, and the similarity between two keywords can be determined by calculating the cosine similarity of the two vectors.

In this way or a similar method, the controller 320 may analyze at least a portion of the second set of documents to extract a preset number of sub-keywords most highly related to each representative attribute keyword.

In step 530, the controller 320 may determine an association weight corresponding to each representative attribute keyword and sub-keyword pair in the representative attribute keyword candidate set from the second set of documents.

7 is a detailed flowchart of step 530 according to an embodiment of the present specification.

In operation 710, the controller 320 may analyze at least a portion of the second set of documents to set a degree of correlation between the sub-keywords. For example, it is assumed that 50 sub-keywords of _{B1 1} to B1 ₅₀ are collected as related sub-keywords for the representative attribute keyword A1. In this case, the controller 320 may set the degree of correlation between the two sub-keywords by using the frequency at which the two sub-keywords appear together in the same document for these 50 sub-keywords. B1 is also interconnected between the _first B1 and B1 ₂ and B1 is determined in accordance with the _first frequency to the _second appearing in the same document. According to another embodiment, B1 ₁ and B1 ₂ are In addition to the fact that frequency of occurrence in the same document affects correlation, if B1 ₁ and B1 ₂ appear in the same document, _{the distance between two keywords B1 1} and B1 ₂ (or the distance between sentences in which the two keywords appear) ), a higher degree of correlation can be recognized. A degree of correlation between sub-keywords may be set in a similar manner. The distance between keywords or the distance between keywords and sentences is, for example, the number of sentences located between two keywords or keywords and sentences, the number of words located between two keywords or keywords and sentences, and the distance between two keywords or keywords and sentences. It may be determined based on any one or more of the number of positioned words, two keywords, or the number of characters positioned between a keyword and a sentence.

In operation 720, the control unit 320 may set a correlation weight between each representative attribute keyword and the sub-keyword based on the degree of correlation between the sub-keywords. For example, with respect to a sub-keyword set corresponding to each representative attribute keyword, the control unit 320 may determine a degree of correlation between a specific sub-keyword in the sub-keyword set and other sub-keywords in the sub-keyword set, and the specific sub-keyword and the sub-keyword in the sub-keyword set. The association weight between the specific sub-keyword and the representative attribute keyword may be set so that the association weights between the representative attribute keywords have a positive correlation with each other.

_{For example, the higher the correlation between the sub-keyword B1 1} of the representative attribute keyword A1 and the other sub-keywords B1 ₂ to B1 ₅₀ of A1 is, the higher the _{correlation weight between A1 and B1 1} may be set. For example, the arithmetic mean (or sum) of the correlation between _{B1 1} and other sub-keywords of A1 ( B1 ₂ to B1 ₅₀ ) may be the correlation weight between _{B1 1 and A1.} A geometric mean/harmonic mean may be used instead of a simple arithmetic mean. A cutting average excluding the highest two (example) and lowest two (example) among the correlations between the _{subkeyword B1 1} and the other subkeywords of A1 (B1 ₂ to B1 _{50 ) may be used.} have. Instead of the arithmetic mean of the degree of correlation, the median may be used.

According to some embodiments, the "B1 B1 ₁ and ₂ are used to calculate the associated weight for the ₁ B1 for A1 Frequency of occurrence in the same document" simply means that B1 ₁ and B1 ₂ Rather than depending on the number of documents appearing together (or appearing in the same sentence, or appearing adjacent), B1 ₁ and B1 ₂ are The number of documents appearing together (or appearing in the same sentence, or appearing adjacently) can be obtained by dividing the number of documents in _{which B1 1} appears and/or _{the number of documents in which B1 2 appears.} In a similar way, "B1 ₁ and B1 ₂ The frequency of occurrences in the same document" means that B1 ₁ and B1 ₂ A positive correlation with the number of documents co-occurring (or appearing in or adjacent to) the number of documents in the same sentence and negative correlation with the number of documents in which B1 ₁ appears and/or the number of documents in which B1 ₂ appears It can be set to have a relationship. It is a kind of normalization for simply preventing a commonly used word from having a high association weight in the representative attribute keyword A1.

Returning to FIG. 5 , in step 540 , the controller 320 may set a sub-relationship between an object and a sub-keyword from the first set of documents.

Among the first set of documents, a document such as an object keyword (eg, “Taylor Swift”) indicating an object item, or sub-keywords frequently appearing in the same sentence or a sentence adjacent to the document may be determined to be related to the corresponding object. The controller 320 may collect documents in which the object keyword of the corresponding object item appears, and set a lower degree of association between the lower keyword and the object keyword according to the frequency of appearance together in the documents. In particular, when the sub-keyword appears in the same sentence as the object keyword, the controller 320 may set the relation between the sub-keyword and the object to be higher than when the sub-keyword appears in a sentence different from the object keyword.

The controller 320 may set the relation between the sub-keyword and the object of the object keyword to be higher as the sentence in which the sub-keyword appears is closer to the sentence in which the object keyword appears. The proximity of two sentences is, for example, the number of sentences located between the two sentences, the number of words located between the two sentences, the number of words located between the two sentences, and the number of characters located between the two sentences. It may be determined based on one or more.

The controller 320 may set a higher degree of association between the sub-keyword and the object of the corresponding object keyword as the position where the sub-keyword appears is closer to the position where the object keyword appears. The proximity between the sub-keyword and the object keyword is, for example, the number of sentences positioned between the sub-keyword and the object keyword, the number of words positioned between the sub-keyword and the object keyword, and the number of words positioned between the sub-keyword and the object keyword. It may be determined based on any one or more of the number and the number of characters positioned between the sub-keyword and the object keyword.

In operation 550 , the controller 320 may set the object-keyword association between the object and each of the representative attribute keywords by using the lower association degree of step 540 and the association weight of step 530 .

For example, the object-keyword relevance between object C and the representative attribute keyword A1 is determined using the sub-keywords of C and A1 (eg, B1 ₁ to B1 ₅₀ ) and the weight of each sub-keyword. can be set. For example, the object-keyword relevance between the object C and the representative attribute keyword A1 may be set higher as the sub-relationship between the _{objects C and B1 1} to B1 _{50 increases.}

In addition, in the relationship with A1, if the sub-keyword with a higher association weight has a high sub-relationship with object C, the relationship between object C and the representative attribute keyword A1 is higher than when the sub-keyword with a lower association weight has a high sub-relationship. may be set to have a higher object-keyword relevance. For example, in the case of Table ₁ , the sub-relationship of the side with a higher association weight (B1 1 ) is higher than in the case of Table 2, so the case of Table 1 is higher than the case of Table 2, the object between object C and the representative attribute keyword A1 The keyword relevance may be set to be high.

Association weight with A1 Sub-relationship with C B1 ₁ 0.5 0.5 B1 ₂ 0.2 0.2

Association weight with A1 Sub-relationship with C B1 ₁ 0.2 0.5 B1 ₂ 0.5 0.2

According to an embodiment, the object-keyword association between the object C and the representative attribute keyword A1 may be obtained as the sum of the values obtained by multiplying the association weight corresponding to each sub-keyword and the lower association degree (or using the sum total). In the case of Table 1, 0.5×0.5+0.2×0.2=0.29, and in the case of Table 2, 0.2×0.5+0.5×0.2=0.20. Therefore, the case of Table 1 is between the object C and the representative attribute keyword A1 more than the case of Table 2 may be set to have high object-keyword relevance. The above-described object-keyword relevance calculation method is merely exemplary, and if the sub-relationship with C in step 540 and the association weight with A1 in step 530 are positively correlated with the object-keyword relevance between C and A1 Any other method may be used.

Afterwards, when the communication unit 310 receives a request for providing information related to a specific representative attribute keyword, the control unit 320 may provide a result item through the communication unit 310 based on the object-keyword association degree extracted in step 550 . For example, when receiving a request to provide information including any one representative attribute keyword, the control unit 320 may provide information about the object items in the order of highest object-keyword relevance in the relation with the corresponding representative attribute keyword. have.

In another embodiment, when receiving an information provision request including two or more representative attribute keywords and weights corresponding thereto, the control unit 320 for each object item is object-keyword association with representative attribute keywords included in the information provision request It is possible to provide information about the object items in the order in which the sum (or average) of values multiplied by weights (or similarly weighted) is highest.

8 is a flowchart of an information providing process according to another embodiment of the present specification.

The embodiment of FIG. 8 further includes two steps 523 and 526 between steps 520 and 530 in addition to the same processes as those of the embodiment of FIG. 5 . Here, redundant descriptions are avoided and only steps 523 and 526 are described.

In step 523, the controller 320 determines whether each of the sub-keywords extracted in step 520 corresponds to an emotional language (emotional language). To this end, the storage unit 330 or an external server may hold an emotional dictionary (dictionary). The sentiment dictionary is a tool for determining whether a certain word (keyword) is an emotional word, and may hold, for example, a list of sentiment words. Keywords included in the appraised word list may be regarded as appraised words, and keywords not included in the appraised word list may be determined not to be appraised words. However, these judgments are based on dictionary meanings and may not reflect the changing use of words by the public over time. Accordingly, the control unit 320 does not determine whether the representative attribute keyword itself is an appraisal word, but determines whether to use the representative attribute keyword based on whether sub-keywords related to the representative attribute keyword are an appraisal word.

In another embodiment, the controller 320 may add another word learned as having a high degree of relevance (more than a preset value) with a preset number or more of words registered as emotional words in the emotional dictionary.

In step 526, the controller 320 may leave only a preset number of representative attribute keywords in the representative attribute keyword candidate set in the order of increasing the emotional language ratio (or number) of the related sub-keywords, and remove the rest. Through this process, keywords that are far from emotional language can be prevented from being treated as emotional language.

9 is a flowchart of a movie attribute language management process according to an embodiment of the present specification.

In step 910 , the controller 320 stores the 1st middle attribute keyword-object association degree corresponding to the object and the intermediate attribute keyword pair in the storage unit 330 .

10 is an example of stored first intermediate attribute keyword-object association according to an embodiment of the present specification.

In the embodiment of FIG. 10 , there are all m objects (i ₁ to i _m ) and there are all n median attribute keywords (k ₁ to k _n ).

For example, the first intermediate attribute keyword-object association of the _{object i 5} and the intermediate attribute keyword k _{3 is w 5,3} .

The process of step 910 may be performed according to, for example, some of the embodiments of FIGS. 5 to 8 , a process similar thereto, or a process corresponding thereto. According to another embodiment, the process of step 910 may be performed as an input from an administrator or may be performed by receiving the first intermediate attribute keyword-object relevance determined in an external system through a network or a storage medium.

Next, in step 920 , the control unit 320 stores in the storage unit 330 the 　1th upper attribute-middle attribute association corresponding to the upper attribute keyword and the middle attribute keyword pair.

The process of step 920 may be performed, for example, by an input of an administrator or by receiving a basic reserved word-keyword relevance determined in an external system through a network or a storage medium. According to another embodiment, the process of step 920 may be performed in a manner similar to that of FIGS. 5 to 8 by analyzing collectible documents such as the Internet, SNS, and news. In addition, the process of step 920 includes a process of reflecting the user's feedback as will be described later.

In step 930 , the communication unit 310 receives and acquires the item of interest from the terminal 200 , and transmits the received item of interest to the controller 320 .

The received interest item is an interest item received by the terminal 200 from a search user.

In step 940, the control unit 320 sets the correlation between the upper attribute keyword and the middle attribute keyword according to the manager input.

11 is a detailed flowchart of operation 940 according to an embodiment of the present specification.

Referring to FIG. 11 , in step 941 , the controller 320 extracts a plurality of upper attribute keywords for the item of interest and provides an interface including the higher attribute keywords to the terminal.

In step 942, the control unit 320 receives one or more higher-order attribute keywords selected from the terminal as reserved words through the interface.

Here, the reserved word is an upper attribute keyword received from a search user (administrator or customer) among a plurality of upper attribute keywords included in the attribute set.

In step 943, the control unit 320 extracts the intermediate attribute keyword associated with the reserved word using the pre-stored first upper attribute-middle attribute association degree, and includes the intermediate attribute keyword associated with the reserved word and the intermediate attribute keyword similar to the intermediate attribute keyword provides a middle-level attribute keyword selection/adjustment interface to the terminal 200 as a second attribute filter. The user can additionally select an infix attribute keyword to be set as related to the reserved word through this interface, or remove/delete an infix attribute keyword set to be related to the reserved word as unrelated.

In step 944 , the control unit 320 receives the  2 higher attribute-middle attribute association degree for each of one or more intermediate attribute keywords selected as related to the reserved word from the terminal through the interface.

For example, when any one middle attribute keyword is selected according to a user's input from among a plurality of middle attribute keywords included in the interface, the second middle attribute-middle attribute relevance input is the selected middle attribute keyword. This can be done by automatically moving to the front of the attribute keyword array. The controller 320 may assign the second higher-order attribute-middle attribute association degree according to the arrangement order of the middle-level attribute keywords, for example. That is, the faster the arrangement order, the higher the correlation between the second upper attribute and the middle attribute may be corrected.

In another modification to the 　2　higher attribute-middle attribute relevance input, it may be performed by rearranging the order of a plurality of second attribute keywords included in the interface. The control unit 320 may give, for example, the second 　 second upper attribute-middle attribute association according to the rearranged order. That is, the faster the rearrangement order, the higher the correlation between the second upper attribute and the middle attribute may be corrected.

In another modification, the 　 2 　 upper attribute-middle attribute association degree may be directly input through the interface.

By reflecting the pre-stored 　1 　 upper attribute-middle attribute association degree with the 　 2 　 upper attribute-middle attribute association degree, the 　 1 　 upper attribute-middle attribute association degree is corrected. The correction of the 　1 　 upper attribute-middle attribute association degree will be described in detail with reference to step 990, which will be described later.

Returning to FIG. 9 , in step 950 , the control unit 320 controls the 1st middle attribute keyword-object relevance and the 2nd middle attribute-middle attribute relevance degree and the 1st high-order attribute corresponding to the keyword and the object pair selected based on the middle-level attribute relevance. Calculates the attribute keyword-object association.

In operation 960 , the controller 320 may provide the object item according to the received reserved word and the first upper attribute keyword corresponding to the selected upper attribute keyword-object association. For example, if _{the first upper attribute keyword corresponding to the received reserved word C 2} -object association is as shown in Table 3 below, the controller 320 may provide the object items in the order of Table 4.

object item Reserved word-object association with incoming reserved word i ₁ 0.23 i ₂ 0.33 i ₃ 0.99 i ₄ 0.84

order object item Reserved word-object association with incoming reserved word One i ₃ 0.99 2 i ₄ 0.84 3 i ₂ 0.33 4 i ₁ 0.23

That is, the controller 320 may provide the object items in the order of the first upper keyword corresponding to the received reserved word-object association degree. The terminal 200 receiving the object item may provide _{information about the object i 3} to the user through the display unit 220 . The terminal 200 may also provide information on other object items in a lower order if necessary. The terminal 200 may provide information on the _{object i 3} to the user by voice instead of the display unit 220 through a speaker.

If the change of the item of interest is inputted through the interface in step 970, the process may return to step 930. If the change of the item of interest is not input, the process proceeds to step 980.

If the selection change of the upper attribute keyword (reserved word) is inputted through the interface in step 980, the process may return to step 940. If the change in the upper attribute keyword (reserved word) is not input, the process proceeds to step 990.

In step 990, the 　1th upper attribute-middle attribute association degree is corrected by reflecting the 　2th upper attribute-middle attribute association degree selected in step 950.

The first upper attribute-middle attribute association degree may be reset according to the received second upper attribute-middle attribute association degree.

By repeating this process, the 2　higher attribute-middle attribute relevance selected by the user is reflected in the database.

12 to 18 are examples of an interface page including an attribute filter according to an embodiment of the present specification.

Here, the attribute filter may be referred to as an attribute filter in the sense that it acts as a filter indicating an attribute desired by a user.

Referring to FIG. 12 , the interface page I-100 including the attribute filter includes a first attribute filter unit I-120, a second attribute filter unit I-130, and a result preview unit I-140. may include

The first attribute filter unit I-120 provides the upper attribute keyword for the item of interest selected by the user as the first attribute filter.

The attribute filter displayed on the first attribute filter unit I-120 may be composed of reserved words calculated by the reserved word-object association.

The user may select one or more upper attribute keywords from among the plurality of upper attribute keywords provided to the first attribute filter.

For example, the information providing device 300 may include 'good', 'various', 'prepared', 'best', 'interesting ' and the like are provided as the first attribute filter, and a higher attribute keyword among keywords included in the first attribute filter may be selected by the user through the terminal 200 .

The selected upper attribute keyword is displayed distinguishably from other unselected upper attribute keywords.

Meanwhile, the first attribute filter unit I-120 may further include an interest item display unit I-110.

The interest item display unit I-110 displays the item of interest selected by the user.

Through the interest item display unit I-110, the user can change the interest item.

For example, when the user selects the item of interest display unit I-110, an interface for selecting the item of interest is provided, and the user can change the item of interest by inputting the item of interest or selecting it from a list of a plurality of items of interest.

Of course, when the item of interest is changed, the first attribute filter is also changed.

For example, if the item of interest is 'movie', the first attribute filter is 'excellent work', 'good visuals, 'exciting', 'philosophical', 'moving', 'good OST', 'masterpiece' , 'Sweet,', 'Probable', 'Spectacular', 'Having a famous scene', 'Clean', 'Masterpiece', 'Sweet', 'Individual', 'Story It can include 'solid', 'best person', 'to think about life', 'recommended', etc.

If the interest item is 'Travel', the first attribute filter is 'Classic', 'Good for a gourmet trip', 'Romantic', 'Starry', 'Beautiful sunset', 'Good for healing', ' 'Pretty color', 'Blue sky', 'Exceeded expectations', 'Good for family trip', 'Good for tea drinking', 'Clean', 'Satisfying', 'Exciting', 'Thrilling', 'Music , 'impressive', 'good for free travel', 'exciting', 'pleasant', etc.

The second attribute filter unit I-130 displays the attribute set of the intermediate attribute keyword as the second attribute filter.

The second attribute filter includes a plurality of intermediate attribute keywords (attribute sets) selected based on a preset degree of association with an upper attribute keyword selected by the user through the first attribute filter unit I-120. Accordingly, when the upper attribute keyword is changed through the first attribute filter unit I-120, the attribute set included in the second attribute filter unit I-130 is also changed.

13 is an example of the first attribute filter unit I-120 and the second attribute filter unit I-130 included in the interface page of FIG. 12 .

The control unit 320 generates an attribute set including a plurality of middle attribute keywords based on a preset upper attribute-middle attribute association with respect to the upper attribute keyword selected in the first attribute filter, and includes the generated attribute set. Provides an interface. Through the second attribute filter unit I-130, the similarity level corresponding to the upper attribute keyword-middle attribute keyword pair for the intermediate attribute keyword may be input from the user.

The second attribute filter unit I-130 of FIG. 13 is an example of an interface.

A plurality of infix attribute keywords associated with the upper attribute keyword are arranged in the interface.

13 is an example of a second attribute filter when 'best person' is selected as the upper attribute keyword through the first attribute filter, and the representative median attribute keyword 'best' stored in association with the selected upper movie attribute language 'best person' is displayed first, and the representative lieutenant attribute keywords similar to 'best' are 'legendary', 'awesome', 'excellent', 'awesome', 'awesome', 'fantastic', 'awesome' , 'Perfect', 'Good', 'Awesome', 'Unforgettable', 'It's a godsend', 'Excited', 'Crazy', 'Strong', 'Sensed', 'Beautiful', ' It is attractive', ..., etc. are arranged in order. The degree of similarity between 'the best' and other keywords may be determined by referring to, for example, the frequency in which the two keywords appear simultaneously in the same document, the frequency in which the two keywords appear simultaneously within a certain distance within the same sentence, and the like. For example, the relative distance between two keywords is determined using word-to-vector (W2V; Word2vec) or similar functional technology related to the item of interest. can be dealt with

The representative intermediate attribute keyword may be displayed differently from other intermediate attribute keywords. For example, the representative middle-level attribute keyword 'best' may be displayed in yellow, and other middle-level attribute keywords may be displayed in black. The middle-level attribute keywords other than the representative middle-level attribute keyword may be displayed differently from the representative middle-level attribute keyword and at least one of brightness/saturation/color of the background or text.

14 and 15 are examples of an interface page including a second attribute filter according to an embodiment of the present specification.

As shown in FIG. 14 , as the distance from the representative intermediate attribute keyword increases (the more similar it is), the softer the background may be displayed. For example, according to the range to which the similarity with the representative middle attribute keyword(s) of each intermediate attribute keyword that does not belong to the representative intermediate attribute keyword belongs, the text color, background color, font, font thickness, and frame around the text of each intermediate attribute keyword Different shapes, etc. may be displayed to distinguish them from each other. In addition, a method of displaying an intermediate attribute keyword more similar to the representative intermediate attribute keywords more forward (upper side) may be applied.

The arrangement order of the attribute sets displayed on the second attribute filter unit I-130 may be changed by the user.

For example, when an arbitrary middle-level movie attribute language is selected from the arranged middle-level attribute keywords, the terminal 200 may transmit input information obtained by converting the user's input to the information providing apparatus 300 .

The information providing apparatus 300 rearranges the order of the intermediate attribute keywords of the second attribute filter according to the input information received from the terminal 200 .

For example, the intermediate attribute keyword selected by the user is preferentially placed. Preferentially arranged means that the selected intermediate attribute keyword is displayed more easily recognized by the user than the unselected intermediate attribute keyword. For example, it is placed first in the array of infix attribute keywords. As shown in FIG. 15 , when 'unique' (P) is selected by the user in the second attribute filter displayed on the second attribute filter unit I-130, the second attribute filter shown in FIG. 15 is 'unique' 'is' (P) is placed before 'best'. In addition, based on the intermediate attribute keywords selected as related to the upper attribute keyword, a certain number of keywords having a high similarity to the selected intermediate attribute keywords may be displayed preferentially after the selected intermediate attribute keyword and/or displayed in a distinct color. have.

According to another example, when the terminal 200 receives an input to change the arrangement position of the intermediate attribute keywords arranged in the second attribute filter unit I-130 by the user, the terminal 200 transmits the input information related thereto to the information providing device 300 and , the control unit 320 of the information providing apparatus 300 rearranges the intermediate attribute keywords of the second attribute filter unit I-130 according to the input information received from the terminal 200 .

When the information providing apparatus 300 receives and stores user information from the terminal, by storing the rearranged second attribute filter in association with the user information, later, the rearranged for the 'reserved word' selected the same for the same user A second attribute filter may be provided.

16 is an example of an interface page including a result preview unit according to an embodiment of the present specification.

As shown in FIG. 16 , the result preview unit I-140 provides information on one or more searched objects based on the selected movie attribute language. That is, the object information searched according to the user's selection through the first attribute filter unit I-120 and the second attribute filter unit I-130 is provided through the result preview unit I-140.

The result preview unit I-140 may display an image and an individual item name (eg, movie/poster) for the searched object based on the selected movie attribute language. If there are a plurality of searched objects, the objects may be displayed in the order of the highest degree of relevance.

When the searched object is, for example, movies, a poster, a main image, a title, and the like of the movie may be displayed.

When an arbitrary object from among a plurality of objects is selected, detailed information about the corresponding object may be provided.

When a searched object is, for example, movies, if a certain movie is selected, the reservation rate, release date, audience ranking, recommendation ranking, screening grade, genre, performer, production company, director, leading and supporting actor, investment amount, domestic and global share of the corresponding movie , an official website address, etc. may be displayed in detail.

Through the result preview, the user can check in advance the object item to be searched according to the virtual context. Accordingly, when an object item that is not suitable for the virtual context is found, it is possible to change the setting for the virtual context and search again, so that it is possible to provide a result suitable for the virtual context considered by the user.

In addition, when the object item displayed in the result preview is determined as the final result, the movie attribute language and weight selected for recommending the result of the object item may be stored.

At this time, the information providing device stores the movie attribute language and weight search information along with user log information for a user who has undergone the user authentication procedure, and the next time the same user searches for the corresponding movie attribute language, the stored movie attribute language and weight information can indicate

For example, after the authenticated user selects 'best' through the first attribute filter unit I-120 and places 'unique' in the front through the second attribute filter unit I-130 , it is assumed that a search result in which the weight of 'unique' is set to 1 through the weight adjusting unit I-135 is stored. When the same user selects 'the best' through the first attribute filter unit I-120, automatically, the second attribute filter unit I-130, which has 'unique' in the front, and 'unique' A weight adjustment unit I-135 in which the weight is set to 1 may be provided.

17 is an example of an interface page including an attribute filter according to another embodiment of the present specification, and FIG. 18 is an example of an interface page including a weight adjustment unit I-135 according to an embodiment of the present specification to be.

The interface page I-200 includes an item display unit I-110, a first attribute filter unit I-120, a second attribute filter unit I-130, a weight adjustment unit I-135, and a result preview. Part I-140 may be included.

In FIG. 17, since the same reference numerals as in FIG. 12 refer to the same components, the repeated description will be omitted and only the differential component weight adjusting unit I-135 will be described.

The weight adjustment unit I-135 provides a weight adjustment interface that can be adjusted by the user for each intermediate attribute keyword displayed on the second attribute filter unit I-130. The user selects the weight of the movie attribute language accordingly.

The weight may be selected, for example, from 0.1 to 5. These numbers are merely examples and are not limited thereto.

The selected weight affects the upper attribute-middle attribute association corresponding to the upper attribute keyword and the middle attribute keyword pair. Relevance affects both the preview of the results and the actual results.

According to the method for managing a movie attribute language according to an embodiment of the present specification, it is possible to recommend an object item suitable for a virtual context considered by a user.

At this time, it will be understood that each block of the flowchart diagrams and combinations of the flowchart diagrams may be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions performed by the processor of the computer or other programmable data processing equipment are not described in the flowchart block(s). It creates a means to perform functions. These computer program instructions may also be stored in a computer-usable or computer-readable memory which may direct a computer or other programmable data processing equipment to implement a function in a particular manner, and thus the computer-usable or computer-readable memory. It is also possible that the instructions stored in the flow chart block(s) produce an article of manufacture containing instruction means for performing the function described in the flowchart block(s). The computer program instructions may also be mounted on a computer or other programmable data processing equipment, such that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to create a computer or other programmable data processing equipment. It is also possible that instructions for performing the processing equipment provide steps for performing the functions described in the flowchart block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). It should also be noted that in some alternative implementations it is also possible for the functions recited in blocks to occur out of order. For example, two blocks shown one after another may be performed substantially simultaneously, or the blocks may sometimes be performed in the reverse order according to a corresponding function.

At this time, the term '~ unit' used in this embodiment means software or hardware components such as FPGA or ASIC, and '~ unit' performs certain roles. However, '-part' is not limited to software or hardware. '~' may be configured to reside on an addressable storage medium or may be configured to refresh one or more processors. Thus, as an example, '~' refers to components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. The functions provided in the components and '~ units' may be combined into a smaller number of components and '~ units' or further separated into additional components and '~ units'. In addition, components and '~ units' may be implemented to play one or more CPUs in a device or secure multimedia card.

Those of ordinary skill in the art to which this specification belongs will be able to understand that the present specification may be embodied in other specific forms without changing the technical spirit or essential features thereof. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present specification is indicated by the claims described later rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts are included in the scope of the present specification. should be interpreted

On the other hand, in the present specification and drawings, preferred embodiments of the present specification have been disclosed, and although specific terms are used, these are only used in a general sense to easily explain the technical content of the present specification and help the understanding of the invention, It is not intended to limit the scope of the specification. It will be apparent to those of ordinary skill in the art to which this specification pertains that other modifications based on the technical spirit of the present specification may be implemented in addition to the embodiments disclosed herein.

150: communication network 200: terminal
200-1: manager terminal 200-2: customer terminal
210: input unit 220: display unit
230: communication unit 240: storage unit
250: control unit 300: information providing device

Claims (16)

A method for managing a movie attribute language by a movie attribute language management apparatus, comprising: a terminal and an information providing device connected to the terminal and a communication network through a communication network to provide a plurality of upper attribute keywords and middle attribute keywords to the terminal,
When the information providing apparatus receives a specific upper attribute keyword selected from among the plurality of upper attribute keywords through the terminal, a first upper attribute corresponding to the upper attribute keyword-middle attribute keyword pair selected by the information providing apparatus - middle generating a median attribute set including median attribute keywords having the first upper attribute-middle attribute association greater than or equal to a reference value based on the attribute association degree;
providing, by the information providing device, an interface capable of adding or deleting an intermediate attribute keyword to the intermediate attribute set together with the upper-level attribute keyword, and adding or deleting an intermediate attribute keyword to the intermediate attribute set according to a user input;
calculating, by the information providing device, a first upper attribute keyword-object association degree corresponding to the selected upper attribute keyword and object pair based on a first intermediate attribute keyword-object association degree;
providing, by the information providing device, an object corresponding to the first higher-order attribute keyword-object relevance to the interface; and
and providing an interface including the intermediate attribute set, and receiving a second upper attribute-middle attribute association degree for each of the intermediate attribute keywords selected in the interface. According to claim 1,
and correcting the first upper attribute-middle attribute association degree by reflecting the second upper attribute-middle attribute association degree. According to claim 1,
displaying an intermediate attribute keyword of the intermediate attribute set to be distinguished from other intermediate attribute keywords; and
and displaying intermediate attribute keywords other than the intermediate attribute set to be distinguished from each other according to a range to which an average degree of similarity with the intermediate attribute keywords of the intermediate attribute set belongs. 3. The method of claim 2,
The step of receiving the second upper attribute-middle attribute association degree comprises:
receiving an input to change the arrangement order of intermediate attribute keywords included in the intermediate attribute set at the interface; and
and changing the second upper attribute-middle attribute association degree to a predetermined association degree in response to the arrangement order change. According to claim 1,
Prior to the step of generating the intermediate property set,
generating an upper attribute filter including a plurality of preset upper attribute keywords; and
The method of managing a movie property language further comprising: providing an interface including the upper attribute filter, and receiving a selection of an arbitrary upper attribute keyword from the interface. 6. The method of claim 5,
Before the step of creating the upper attribute filter,
providing an interface including a plurality of preset items of interest, and receiving a selection of an item of interest from the interface; and
and resetting the upper attribute keyword associated with the interest item to the upper attribute keyword. The method of claim 1 , wherein, prior to generating the intermediate attribute set,
The first intermediate attribute keyword-object association based on the first intermediate attribute-sub-attribute association corresponding to the intermediate attribute keyword and the sub-attribute keyword pair and the first sub-attribute-object association corresponding to the lower attribute keyword and the object pair step to save
A method for managing a movie attribute language further comprising: 8. The method of claim 7,
The calculating of the first upper attribute keyword-object association degree corresponding to the upper attribute keyword and the object pair includes multiplying the first upper attribute-middle attribute association degree by the first intermediate attribute keyword-object association degree, The movie attribute language management method for calculating the first upper attribute keyword-object association corresponding to the upper attribute keyword and the object pair. A movie attribute language management device comprising a terminal and an information providing device connected to the terminal through a communication network and providing a plurality of high-order attribute keywords and middle-level attribute keywords to the terminal,
The information providing device,
a storage unit for storing a first upper attribute keyword-middle attribute association degree corresponding to the upper attribute keyword pair and a first intermediate attribute keyword-object association degree corresponding to the intermediate attribute keyword and object pair;
Based on the first upper attribute-middle attribute association degree, the first upper attribute-median attribute association degree equal to or greater than a reference value is generated, an intermediate attribute set including an intermediate attribute keyword, and the intermediate attribute set together with the upper attribute keyword a control unit that provides an interface for adding or deleting an intermediate attribute keyword; and
a communication unit receiving an input of addition or deletion of an intermediate attribute keyword to the intermediate attribute set according to a user input through the interface;
When the information providing device selects a specific higher-level attribute keyword from among the plurality of higher-order attribute keywords through the terminal, the information providing device is configured to include a second corresponding to the upper-level attribute keyword-middle attribute keyword pair selected by the information providing device. 1 Based on the upper attribute-middle attribute association degree, the first upper attribute-median attribute association degree greater than or equal to a reference value is generated, the intermediate attribute set including the intermediate attribute keyword having a degree of association,
providing an interface for adding or deleting an intermediate attribute keyword to the intermediate attribute set together with the upper attribute keyword, adding or deleting an intermediate attribute keyword to the intermediate attribute set according to a user input;
calculating a first upper attribute keyword-object association degree corresponding to the selected upper attribute keyword and object pair based on the first intermediate attribute keyword-object association degree;
providing an object corresponding to the first upper attribute keyword-object relevance to the interface,
providing an interface including an attribute set, receiving a second upper attribute-middle attribute association degree for each intermediate attribute keyword selected through the interface, and reflecting the received second upper attribute-middle attribute association degree A movie attribute language management device for correcting the first upper attribute-middle attribute association. delete 10. The method of claim 9,
The interface displays the intermediate attribute keyword of the intermediate attribute set to be distinguished from other intermediate attribute keywords, and the intermediate attribute keywords other than the intermediate attribute set according to the range to which the average similarity with the intermediate attribute keywords of the intermediate attribute set belongs A device for managing movie properties language to distinguish them from each other. 10. The method of claim 9,
The communication unit receives an input to change the arrangement order of the intermediate attribute keywords included in the intermediate attribute set through the interface,
and the information providing device changes the second upper attribute-middle attribute association degree to a predetermined association level in response to the arrangement order change. 10. The method of claim 9,
The information providing apparatus generates an upper-level attribute filter including a plurality of preset upper-level attribute keywords, and provides an interface including the upper-level attribute filter;
The communication unit is a movie attribute language management device that receives an arbitrary upper attribute keyword from the interface. 14. The method of claim 13,
The information providing device provides an interface including a plurality of preset interest items, and resets upper attribute keywords associated with the interest items input from the interface to the upper attribute keywords. 10. The method of claim 9,
The information providing apparatus is configured to provide the first intermediate attribute based on the first intermediate attribute-sub-attribute association corresponding to the intermediate attribute keyword and the lower attribute keyword pair and the first lower attribute-object association corresponding to the lower attribute keyword and the object pair. A movie attribute language management device that calculates attribute keyword-object association. 16. The method of claim 15,
The information providing apparatus calculates the first upper attribute keyword-object association degree corresponding to the upper attribute keyword and object pair by multiplying the first upper attribute keyword-object association degree by the first upper attribute keyword-object association degree A film property language management device.

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