KR20200125408A - Method and apparatus for managing movie recommended items using language units - Google Patents

Abstract

The present invention relates to a method for managing movie recommendation items using language units, and an apparatus thereof. According to the present invention, the method for managing movie recommendation items using language units comprises the steps of: obtaining numerical language units, meta-type language units, and language unit categories; receiving type identification information; generating a first language unit set; selecting a preset number of objects; and transmitting interface page information to a terminal. According to the present invention, movie recommendation items can be easily managed based on language units.

Description

Method and apparatus for managing movie recommendation items using language units {METHOD AND APPARATUS FOR MANAGING MOVIE RECOMMENDED ITEMS USING LANGUAGE UNITS}

At least some embodiments of the present specification relate to a method and apparatus for managing movie recommendation items using language units.

According to a conventional search method, a user can search and find a desired web document by entering a search keyword in a search window. For example, a user may search for information about the movie “Rome” by entering the movie “Rome” in a search box. However, if the user cannot remember the movie he is looking for, a different method of providing information is required. For example, the user may attempt a search by entering a movie title related to a movie he is looking for, an actor who appeared in the movie, or a director or producer of the movie as a keyword. Travel information sites and travel review sites may provide information about movies about the movie along with travel information, so if you're not lucky, users can search for the movie you want by keyword title, actor, director, or producer. Maybe.

However, furthermore, if information is provided based on informal language, for example, emotional language, rather than formal information, the conventional search method cannot be used. For example, the response provided by conventional search engines to search terms such as "romantic movie" or "fantastic movie" is to search for documents written by someone containing the keywords "romantic movie" or "fantastic movie". It will only be. However, atypical language needs a different approach from formal information such as summer movies and winter movies. Even if someone doesn't include the keywords "romantic movie" or "fantastic movie", there are actually some movies that many people may feel "romantic" or "fantastic".

Furthermore, a movie using a language unit for a "romantic movie" or a "fantastic movie" by using attribute keywords based on the emotional language input by the user, that is, the keywords "romantic movie" or "fantastic movie" You can manage recommended items.

Further, for other fields other than movies, a different approach may be needed to request for information provision using an unstructured language.

1. Korean Patent Registration No. 10-0943962 "A method of providing an item search service based on emotion, a database construction method, and a search server" (Announcement date: 2010. 02. 26.)

An embodiment of the present specification is to provide a method and apparatus for managing movie recommendation items using language units.

A method for managing movie recommendation items using a language unit according to an embodiment of the present specification is connected to a terminal and the terminal through a communication network, and provides numeric language units, meta-type language units, and language unit categories of each language unit. A movie recommendation item management method using a language unit by a movie recommendation item management device using a language unit including an information providing device, comprising: numeric language units, meta type language units, and each language unit by the information providing device Acquiring a language unit category of the students; Receiving type identification information indicating selection of a language unit type of either a numeric type or a meta type from the terminal; Generating a first set of language units corresponding to the type identification information from among the language units acquired by the information providing device; Providing, by the information providing device, selection interface page information including an interface for selecting some language units from the first language unit set to the terminal; Selecting a preset number of objects based on the language unit selected through the interface by the information providing device; Transmitting interface page information including an object list including the selected object to the terminal by the information providing device; Storing the selected language unit and a corresponding degree of association by the information providing device as a recommendation item for a virtual context; And providing the selected interface page information including a selected language unit included in the stored recommendation item and a corresponding degree of association to the terminal; wherein the selected interface page information includes the first language unit set In the case of a set of language units in the type, further comprising an interface for adjusting a context-language unit association degree for the selected language unit, and selecting a preset number of objects based on the language unit selected through the interface Is, based on the numerical language unit and context-language unit association pair, by receiving identification information of the numerical language unit selected from the terminal and a corresponding context-language unit association degree pair, a preset number of objects Select

A movie recommendation item management apparatus using a language unit according to an embodiment of the present specification is connected to a terminal and the terminal through a communication network, and provides numeric language units, meta type language units, and language unit categories of each language unit. A travel destination recommendation item management device using a language unit including an information providing device, wherein the information providing device obtains the numerical language units, meta type language units, and language unit categories of each language unit, and the terminal Receiving type identification information indicating selection of a language unit type of a numeric type or a meta type from the obtained language unit, generating a first language unit set corresponding to the type identification information from the acquired language units, and the first language Provides selection interface page information including an interface for selecting some language units from a unit set to the terminal, selects a preset number of objects based on the language unit selected through the interface, and selects the selected object Transmitting interface page information including an object list including an object list to the terminal, storing the selected language unit and a corresponding degree of association as a recommendation item for a virtual context, and the numeric language received through the selection interface page A preset number of objects is selected based on the unit identification information and the context-language unit correlation pair, the selection interface information page includes a search interface for searching for a language unit, and the received type identification information is If the type identification information corresponding to the numeric type, the selection interface page information further includes an interface capable of adjusting the context-language unit association degree of the selected language unit.

According to an embodiment of the present specification, a method and apparatus for easily managing movie recommendation items based on a language unit may be provided.

1 is a network configuration diagram of an information providing system using attribute keywords according to an embodiment of the present specification.
2 is a block diagram of a terminal according to an embodiment of the present specification.
3 is a block diagram of an information providing apparatus according to an embodiment of the present specification.
4 is a flowchart of a process of providing information 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 flowchart of a process of providing information according to another embodiment of the present specification.
9 is a flowchart of a movie recommendation item management process according to an embodiment of the present specification.
10 is an example of a stored object-language unit association diagram according to an embodiment of the present specification.
11 is a detailed flowchart of an item category setting process according to an embodiment of the present specification.
12 is an example of an interface page according to an embodiment of the present specification.
13 is an example of an interface for selecting an item according to an embodiment of the present specification.
14 is an example of a part of an interface page for selecting a search word according to an embodiment of the present specification.
15 is an example of a part of an interface page including a meta-type language unit according to an embodiment of the present specification.
16 is an example of a part of an interface page including a search box according to an embodiment of the present specification.
17 is an example of a part of an interface page for storing keywords according to an embodiment of the present specification.
18 is an example of an interface page including a context-language unit association degree adjustment unit according to an embodiment of the present specification.
19 is an example of an interface including a result preview according to an embodiment of the present specification.
20 is an example of an interface page according to another embodiment of the present specification.
21 to 24 are examples of an interface for selecting an item according to another embodiment of the present specification.
25 is an example of an interface including a result preview according to another 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 pertains and are not directly related to the present specification will be omitted. This is to more clearly convey the gist of the present specification by omitting unnecessary description.

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

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

According to some embodiments of the present specification, the'language unit' may mean a minimum character string capable of expressing and defining characteristics, usage methods, and properties of an object. The'language unit' may also be referred to as'attribute keyword','keyword', or'keytalk ^TM '. Keytalk means that it becomes the key of the talk.

1 is a network configuration diagram of an information providing system using language units 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 communication, receiving user input, and outputting a screen, for example, a smart phone, PDA, tablet PC, notebook computer, laptop computer, personal computer, etc. I can.

The terminal 200 may be a manager terminal 200-1 or a 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 receiving an information service.

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

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. In addition, the manager terminal 200-1 may access the information providing device 300 through an interface directly provided by the information providing device 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 a 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 the connected terminal through an interface, and may receive information and/or a request message transmitted from the connected terminal.

The communication network 150 is, for example, LTE (Long Term Evolution), LTE-A (LTE-Advanced), WI-FI, LAN (Local Area Network), WAN (Wide Area Network), CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), WiBro (Wireless Broadband), GSM (Global System for Mobile Communications) and other past, current development, or may be implemented using at least some of the communication methods that are available in the future. Hereinafter, for convenience, the terminal 200 and the information providing device 300 directly communicate with each other without referring to the communication network 150.

When the information providing device 300 provides interfaces for both the manager terminal 200-1 and the customer terminal 200-2, an interface for object recommendation and attribute keyword management when a user (administrator) registered in advance accesses it. And, when accessing other general users (customers), an interface for inquiring limited information such as searching and searching for their own objects can be provided.

The information providing device 300 may perform a user authentication or terminal authentication procedure to provide such a differentiated interface. For example, the information providing device 300 identifies whether the connected terminal is a manager terminal or a customer terminal through a user authentication process. Alternatively, the information providing device 300 may register as a manager terminal through terminal authentication of the connected terminal. Since the user authentication or terminal authentication procedure between the information providing device 300 and the terminal 200 is already a practical technique, a detailed description thereof will be omitted.

Detailed operations and configurations of the terminal 200 and the information providing apparatus 300 will be described later with reference to FIGS. 2 to 11.

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

Referring to FIG. 2, a terminal 200 according to an exemplary 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, and other input processing devices that are possible in the present, in the past, or in the future. The input unit 210 may receive, for example, a user's information request input and transmit it to the control unit 250.

The display unit 220 outputs a screen according to the control of the controller 250. The display unit 220 may be implemented as, for example, an LCD (liquid crystal display), an LED (light emitting diode), an OLED (organic light emitting diode), a projector, and other display devices that are possible in the present, in the past, or in the future. The display unit 220 may display, for example, an interface page for providing information or an information providing result page. Depending on the embodiment, the display unit 220 may be used instead of the display unit 220 instead of the display unit 220, but instead of the display unit 220, a component using a voice output, vibration, or other method capable of transmitting information to the user.

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 device 300 to the control unit 250. In addition, the communication unit 230 transmits data to the information providing device 300 under the control of the controller 250. The communication technology used by the communication unit 230 may vary depending on the type of communication network 150 or other circumstances.

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

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

The operation performed by the control unit 250 may be distributedly processed by several physically separated computing devices. Some of the operations performed by the controller 250 are performed by the first server and other operations are performed by the second server. In this case, the control unit 250 may be implemented as a total number of physically separated computing devices.

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

When the controller 250 or the storage unit 240 is implemented as a total of several devices that are physically separated, communication between several devices may be required. Here, for the sake of simplicity, description will be made on the assumption that the storage unit 240 or the control unit 250 is implemented as one object.

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

Detailed operations 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. In addition, the communication unit 310 transmits data to the terminal 200 under the control of the controller 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 controller 320 and transmits the data requested from the controller 320 to the controller 320.

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

In addition, the control unit 320 transmits a search result for the user's attribute keyword selection to the terminal 200, as described later.

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

Detailed operations of each component of the information providing apparatus 300 will be described later with reference to FIGS. 4 to 11.

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

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

In step 410, the control unit 320 of the information providing device 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 a user's input, and transmitting the information to the information providing device 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 form information of the interface page in advance, and only a matter corresponding to the content may be transmitted from the information providing device 300 to the terminal 200. Hereinafter, for convenience, it is assumed that interface page information or other page information is delivered in an HTML document format. However, the scope of the rights of the present specification is not limited thereto.

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

In step 430, the controller 250 of the terminal 200 constructs an interface page using the interface page information. For example, the controller 250 may drive a web browser to analyze an HTML document and configure an interface page in the form of a web page. A separate application may be used instead of a 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 requests information provision, inputs and/or selects a keyword for information provision, and sets for other information provision.

In step 450, the input unit 210 of the terminal 200 receives the selection input of the user 400 inputted 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 a user's selection input to the information providing device 300 under the control of the controller 250.

In step 470, the control unit 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 of generating result page information will be described later with reference to FIGS. 5 to 11. The result page information may be configured in, for example, an HTML document format and/or an image format.

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

In step 490, the controller 250 of the terminal 200 constructs a result page using the result page information received by the communication unit 230. For example, the controller 250 may construct a result page by analyzing result page information in HTML format.

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

In the following description, the control unit 250 of the terminal 200 controls the display unit 220 so that the display unit 220 outputs the content, or controls the communication unit 230 to communicate with the item recommendation management device 300 or Controlling 210 to receive content or controlling the storage unit 240 to store the information is described as operating the terminal 200. The display unit 220 of the terminal 200 may be integrally combined with the input unit 210 to perform both the functions of the input unit 210 and the display unit 220. Hereinafter, the function of the input unit 210 in the display unit 220 It is also described as performing.

In the embodiment of FIG. 4, it is assumed that a page in a visual form is provided to the user, but 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/audible method, another type of 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 a different manner instead of page information to fit the interface method.

In the embodiment after FIG. 5, the user 400 wants to be provided with information on an object of a specific field of interest that the user 400 is interested in. However, the scope of the rights of the present specification is not limited thereto.

The area 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 this field of interest may include'King Sejong','Lee Soon-shin','Simsaimdang', and the like. For example, if the field of interest is'movie', objects corresponding to this field of interest may include'Man's**','Spider*', and'Shinde**'. For example, if the field of interest is'broadcasting program', objects corresponding to the field of interest may include'infinity**','jungle **','throne **'.

In the following embodiments, a document is collected to evaluate the relationship (relevance/weight, etc.) between keywords. Collected documents may all be evaluated as having equal value, or newer documents may be evaluated as having higher value. That is, the association between the age of the document at the time of evaluation and the keywords appearing in the document may have a negative correlation.

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

The creation time of a document to check the age of a document can be determined using, for example, the posting time and/or metadata included in the document, or through periodic crawling, when a new document not found in the previous crawl is found. In this case, it may be determined that a new document was added at the time of a new crawl.

FIG. 5 is a flowchart illustrating a method of storing an object-language unit association as a preprocessing process for managing movie recommendation items according to an embodiment of the present specification.

5, in step 510, the controller 320 determines a representative attribute keyword candidate set from the first set of documents. The control unit 320 may collect, for example, keywords frequently appearing in documents corresponding to the field 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 controller 320 selects keywords appearing in a document, such as an object keyword representing an object belonging to a specific field, and keywords appearing in a document, such as a field keyword representing a specific field, as a first attribute keyword candidate set and a second attribute keyword candidate set. Can be set to

For example, if the field of interest to provide information provision service is a celebrity, the field keyword may include'celebrity','celebrity','movie actress','star','celebrity','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 a similar keyword, which has been analyzed to have a degree of association with the field keywords or higher, as an additional field keyword.

If the field of interest is 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 the attribute or type of the object keyword. If the field keyword indicates a set, the object keyword may indicate elements belonging to the set.

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

Popular object keywords and non-popular object keywords can be classified according to the amount of search/collection of the corresponding object keywords. The controller 320 may search/collect a document including each object keyword, set an object keyword whose collection amount is greater than or equal to a specific threshold value as a popular object keyword, and set the remaining object keywords as an unpopular object keyword.

Popular field keywords and non-popular field keywords may be classified according to the amount of search/collection of keywords in the field. The controller 320 may search/collect a document including each field keyword, set a field keyword whose collection amount is greater than or equal to a specific threshold value as a popular field keyword, and set the remaining field keywords as an unpopular field keyword. However, a threshold value for distinguishing a popular object keyword from a non-popular object keyword and a threshold value for distinguishing a popular field keyword and a non-popular field keyword may be different. Hereinafter, for convenience, the popular object keywords and popular field keywords are collectively referred to as popular field object keywords. Also, for convenience, unpopular object keywords and non-popular 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 an unpopular field keyword or an unpopular object keyword may be used instead of the unpopular field object keyword.

In step 610, the controller 320 sets keywords that appear together in the same document as the popular field object keywords 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 a first attribute keyword candidate set. According to another embodiment, the controller 320 may exclude a field keyword and an object keyword from among keywords included in the collected document from the first attribute keyword candidate set. In addition, the controller 320 may exclude a preset meaningless keyword, for example, a survey/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 controller 320 searches/collects a document containing a keyword of a popular field object, and searches keywords arranged within a preset distance from a keyword of a popular field object or a sentence containing the keyword in the collected document. It may be included in the first attribute keyword candidate set. According to another embodiment, the controller 320 searches for/collects a document containing a keyword of a popular field object, analyzes a context, and selects keywords used for formulating/descripting a keyword of a popular field object as a first attribute keyword candidate. It can also be included in the set.

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

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

In step 620, the controller 320 sets keywords that appear together in the same document as the non-popular field object keywords as the second attribute keyword candidate set.

The controller 320 may search/collect a document including an unpopular field object keyword, and set keywords included in the collected document as a second attribute keyword candidate set. According to another embodiment, the controller 320 may exclude a field keyword and an object keyword from 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, survey/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/collects a document containing an unpopular field object keyword, and searches keywords arranged within a preset distance from the unpopular field object keyword or a sentence containing the keyword in the collected document. It may be included in the second attribute keyword candidate set. According to another embodiment, the control unit 320 searches for/collects a document containing an unpopular field object keyword, analyzes a context, and selects keywords used for formulating/descripting the unpopular field object keyword as a second attribute keyword candidate. It can also be included in the set.

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

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

In step 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 that are used as expressions for modifying popular field object keywords and also used as expressions for non-popular 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 that appear together with object keywords and/or field keywords in the representative attribute keyword candidate set regardless of whether they are 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 lower keyword 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 may be the same document set. For example, the first set of documents may be a set including all collectable documents, and the second set of documents may be a set including only documents in which a specific field of interest to provide an information providing service is used as a main keyword. . The control unit 320 may analyze collectible documents and analyze whether each document is a document used as a major keyword in a specific field of interest to provide an information providing service based on keywords that appear frequently. According to another embodiment, both the first set of documents and the second set of documents may be a set including all collectable related documents. According to another embodiment, the first set of documents may be a set including all of the collectable related documents, and the second set of documents may be a set including only documents related to a specific field of interest for which the information providing service is to be provided. According to another embodiment, the second set of documents may be a set including all of the collectable related documents, and the first set of documents may be a set including only documents related to a specific field of interest for which an information providing service is to be provided.

For step 520, the control unit 320, for example, in order to generate a set including only documents related to a specific field of interest to provide an information providing service, documents including a field keyword indicating the field of interest itself and/ Alternatively, a set including only documents related to a specific interest may be generated by collecting documents including object keywords belonging to a corresponding interest field, and extracting documents in which the weight of the 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, location, and context of the field keyword/object keyword. For example, a document in which a field keyword/object keyword frequently appears, a field keyword/object keyword is used as a title of a corresponding document, or displayed in large letters or a font for emphasis may be classified as a document related to a specific field of interest.

In step 520, the controller 320 analyzes at least a part of the second set of documents, extracts a preset number of sub-keywords with the highest relevance to each representative attribute keyword, and extracts two or more sub-keywords associated with each representative attribute keyword. You can extract keywords.

The controller 320 may set a degree of association between the representative attribute keyword and the lower keyword in consideration of the frequency at which the lower keyword appears in the same or similar context as the representative attribute keyword, for example. For example, it can be seen that words appearing around keyword A in a specific sentence may appear around words related to keyword A in other documents.

"I went on a trip with a big heart, but because it was July, the weather was too hot and I suffered."

"I went on a trip with a big heart, but because it was July, the weather was too humid, so I suffered."

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

"I went on a trip with a big heart, but because it was July, the weather was too hot and I suffered."

"I went on vacation with a big heart, but because it was July, it was too hot and I suffered."

Similarly, the control unit 320 may infer that “travel” and “vacation” are related words through the above two sentences.

"I went on a trip with a big heart, but because it was July, the weather was too hot and I suffered."

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

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

The control unit 320 indicates that "hot" and "wet" are related words, "July" and "August" are related words, and "travel" and "vacation" are related words through the previously collected documents. It can be saved. Assume that the following sentences are collected.

"I went on vacation with a big heart, but because it was July, the weather was too humid, so I suffered."

"I went on a trip with a big heart, but it was hard because the weather was too hot because it was August."

If the two sentences are not 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 controller 320 ) Through the above sentence, you can learn that "I suffered" and "I had a hard time" are also related words.

Keyword pairs with a high frequency appearing in the same/similar context may be determined to have a high correlation with each other. In addition, the higher the similarity between the context in which the two keywords appear, the higher the correlation between the two keywords can be determined. The control unit 320 performs learning using the collected documents to set the degree of association between keywords, and sets the degree of relevance of keywords appearing in the sentence by using the relationship between the set keywords and the context of the sentence. The accuracy of judging the relationship between liver can also be improved.

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 using documents and associates each keyword with a vector, and the similarity between the two keywords can be determined by calculating the cosine similarity of the two vectors.

In this manner or a similar manner, the controller 320 may analyze at least a part of the second set of documents and extract sub-keywords having the highest correlation with each representative attribute keyword by a preset number.

In step 530, the controller 320 may determine an association weight corresponding to each pair of representative attribute keywords and lower keywords 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 step 710, the controller 320 may analyze at least a part of the second set of documents and set a degree of correlation between the lower keywords. For example, it is assumed that those collected as related sub-keywords for the representative attribute keyword A1 are 50 sub-keywords of B1 ₁ to B1 ₅₀ . 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 The distance between the addition to the frequency appearing in the same document that affects the degree interrelated, B1 ₁ and B1 if the _two appeared in the same document both keywords B1 ₁ and B1 distance between _two (or a statement that both keywords appear The closer the) is, the higher the degree of correlation can be recognized. In a similar way, the degree of correlation between sub-keywords can be established. The distance between keywords or between a keyword and a sentence is, for example, the number of two keywords or sentences placed between a keyword and a sentence, the number of words placed between two keywords or a keyword and a sentence, between two keywords or a keyword and a sentence. It may be determined based on one or more of the number of words positioned, two keywords, or the number of characters positioned between a keyword and a sentence.

In step 720, the controller 320 may set an association weight between each representative attribute keyword and the lower keyword based on the degree of correlation between the lower keywords. The control unit 320, for example, for a sub-keyword set corresponding to each representative attribute keyword, a correlation degree between a specific sub-keyword in the sub-keyword set and another sub-keyword in the sub-keyword set, and the specific sub-keyword and the The association weight between the specific lower keyword and the representative attribute keyword may be set so that the association weight between the representative attribute keywords has a positive correlation with each other.

For example, as 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 higher, the association weight between A1 and B1 ₁ may be set higher. For example, an arithmetic mean (or sum) of correlations between B1 ₁ and other sub-keywords of A1 (B1 ₂ to B1 ₅₀ ) may be an association weight between B1 ₁ and A1. Instead of a simple arithmetic mean, a geometric mean/harmonized mean may be used. A cutting average that is averaged out of the correlations between the sub-keywords B1 ₁ and other sub-keywords of A1 (B1 ₂ to B1 ₅₀ ) may be used, excluding the two highest (example) and the lowest two (example). have. A median may be used instead of the arithmetic mean of the correlation.

According to some embodiments, B1 for A1_One"B1" is used to calculate the associated weight of_OneAnd B1₂end "The frequency of appearance in the same document" is simply B1_OneAnd B1₂end It does not depend on the number of documents appearing together (or appearing in the same sentence or in close proximity), but B1_OneAnd B1₂end B1 the number of documents appearing together (or appearing in the same sentence or in close proximity)_OneThe number of documents in which is appeared and/or B1₂It can be obtained by dividing by the number of documents that appear. In a similar way "B1_OneAnd B1₂end "The frequency of appearance in the same document" is B1_OneAnd B1₂end B1 with a positive correlation with the number of documents appearing together (or appearing in the same sentence, or appearing in close proximity)_OneThe number of documents in which is appeared and/or B1₂It may be set to have a negative correlation with the number of documents appearing. It is simply a kind of normalization to prevent a commonly used word from having a high association weight to the representative attribute keyword A1.

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

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

The controller 320 may set a higher degree of association between the lower keyword and the object of the corresponding object keyword as the sentence in which the lower keyword appears is closer to the sentence in which the object keyword appears. The proximity of two sentences is, for example, one of the number of sentences between two sentences, the number of words between two sentences, the number of words between two sentences, and the number of characters between two sentences. It may be determined based on more than one.

The controller 320 may set a higher degree of association between the lower keyword and the object of the corresponding object keyword as the position where the lower 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 between the sub-keyword and the object keyword, the number of words between the sub-keyword and the object keyword, and the number of words 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 lower keyword and the object keyword.

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

For example, the object-keyword association between object C and the representative attribute keyword A1 is determined by using the sub-keywords of C and A1 (for example, B1 ₁ to B1 ₅₀ ) and the association weight of each sub-keyword. Can be set. For example, the object-keyword association degree between the object C and the representative attribute keyword A1 may be set higher as the lower degree of association between the object C and B1 ₁ to B1 ₅₀ is higher.

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

Associated weight with A1 Degree of association with C B1 ₁ 0.5 0.5 B1 ₂ 0.2 0.2

Associated weight with A1 Degree of association with C B1 ₁ 0.2 0.5 B1 ₂ 0.5 0.2

According to an embodiment, an object-keyword association (object-language unit) between object C and a representative attribute keyword A1 is the sum of the product of the association weight corresponding to each sub-keyword and the sub-relationship (or using this total). It can also be used in combination with relevance). 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, so the case of Table 1 is between the object C and the representative attribute keyword A1 than the case of Table 2. The object-keyword association degree of may be set to be high. The above-described method of calculating the object-keyword association is only 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 association between C and A1. Other methods may be used. Thereafter, when the communication unit 310 receives a request to provide information related to a specific representative attribute keyword, the control unit 320 may provide the result object 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 one of the representative attribute keywords, the controller 320 may provide information on the objects in the order of the highest object-keyword association in the relationship with the corresponding representative attribute keyword. . In another embodiment, when receiving a request to provide information including two or more representative attribute keywords and weights corresponding thereto, the controller 320 is an object-keyword association degree with representative attribute keywords included in the information provision request for each object. Information about the objects may be provided in the order of the highest sum (or average) of values multiplied by a weight (or similarly weighted).

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

The example of FIG. 8 further includes two steps 523 and 526 between steps 520 and 530 in addition to the same processes as the example of FIG. 5. Here, redundant description is 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 emotion language (emotional language). To this end, the storage unit 330 or an external server may have a dictionary of appraisal words. The appraised word dictionary is a tool for determining whether a certain word (keyword) is an appraised word, and may hold a list of appraised words, for example. A keyword included in the list of appraised words may be regarded as an appraised word, and a keyword not included in the appraised word list may be determined to be not an appraised word. However, this judgment is based on dictionary meaning, and may not reflect the popular use of words that change with the times. Therefore, the control unit 320 does not determine whether the representative attribute keyword itself is an appraised word, but determines whether to use the representative attribute keyword based on whether the subkeywords related to the representative attribute keyword are appraised words.

In another embodiment, the controller 320 may add another word registered as an appraised word in the appraised word dictionary and learned to have a high correlation (with a pre-set value or more) with a predetermined number or more of words to the appraised word 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 in which the emotional language ratio (or number) of the associated lower keyword is high, and remove the remainder. Through this process, it is possible to prevent keywords far from emotional language from being treated like emotional language.

9 is a flow chart for explaining a method for managing movie recommendation items according to an embodiment of the present specification, FIG. 10 is an example of a stored object-language unit association diagram according to an embodiment of the present specification, and FIG. 11 is the present specification Is a detailed flowchart of a process of setting an item category according to an embodiment of

In step 910, the controller 320 stores an object-language unit association degree corresponding to the object and the representative attribute keyword (language unit) pair in the storage unit 330.

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

For example, the relationship between object i ₅ and the representative attribute keyword k _{3 in} the object-language unit is w _5,3 .

The process of step 910 may be performed according to some of the embodiments of FIGS. 5 to 8 described above, or may be performed in a similar process or a process corresponding thereto. According to another embodiment, the process of step 910 may be performed as an input of an administrator or may be performed by receiving an object-language unit association degree determined in an external system through a network or a storage medium.

In step 920, the controller 320 acquires numeric language units, meta-type language units, and language unit categories of each language unit, and stores them in the storage unit 330.

The process of step 920 may be performed by receiving input from an administrator or by receiving numerical language units, meta-type language units, and language unit categories of each language unit determined in an external system through a network or a storage medium. The numeric language unit is a language unit capable of having a difference in degree of'cool' for each user with respect to an arbitrary object, and the difference in degree can be expressed as a context-language unit association between 0 and 1. For example, the context for a numerical language unit called'cool' to an object named'A'-the relation of the language unit is '0.1', and the context about a numerical language unit called'cool' to an object named'B'- When the language unit association is '0.9', it means that the object'B' is more related to the keyword'cool' than the object'A'.

Next, the meta-type language unit has a preset association weight, eg, 0 or 1 association weight. For example, the meta-type language unit may include'Din*','Park*rae','Parkmyeong*,'Baekjong*','Seojang*','Sungsi*','Songeun*', and the like. That is, the meta-type language unit means a language unit capable of answering an arbitrary object with'there is an association (relationship 1)) or'no association (relationship 0)'. For example, if the object is an arbitrary broadcast program, the associated weights of the performers'Dean*','Park*Rae','Park Myung*','Baekjong*', and'Seojang*' are respectively 1,1,0,0, In the case of 1,'Dean*','Park*Rae', and'Seojang*' mean that they appeared on a broadcast program, and'Park Myung* and'Baekjong*' mean that they did not appear on the broadcast program.

In the present specification, it is assumed that values representing context-language unit associations and other associations have a tighter association as the values increase. In another embodiment, in some cases, when the association value is smaller, the association is tighter, and for other association values, when the association value is larger, the association is tight, so that the positive correlation-negative correlation is appropriate. It could be used instead.

In addition, the language unit category may be, for example, any one selected from the group consisting of'user reaction','atmosphere','performer', and'genre characteristic'.

Steps 910 and 920 are pre-processing steps for recommending an object according to a context desired by the user.

In a next step 930, type identification information for instructing selection of a language unit type of either a numeric type or a meta type is received from the terminal through the communication unit 310.

To this end, the controller 320 may provide the terminal 200 with an interface for selecting either a keyword type of a numeric language unit or a meta-type language unit. The user selects one of a numeric language unit or a meta-type language unit type displayed on the terminal 200 through the interface. According to this selection, the terminal transmits type identification information for the type selected by the user, and the controller 320 receives the type identification information.

In step 940, the controller 320 generates a first language unit set corresponding to the received type identification information. That is, the controller 320 checks whether the language unit selected by the user is a numeric type or a meta type through the received type identification information, and generates a first language unit set consisting of the language unit of the selected type.

In step 950, the controller 930 provides selection interface page information including an interface for selecting a part of the first language unit set to the terminal. Hereinafter, information transmission between the terminal 200 and the information providing device 300 through an interface page follows the method described with reference to FIG. 4.

The selection interface page information further includes an interface capable of adjusting the context-language unit association for the selected language unit when the type identification information corresponds to a numeric type, and when the first language unit set is a numeric type and a language unit set. Include.

That is, when the type identification information received in step 940 corresponds to the meta type, the first language unit set includes meta type language units, and the selection interface page information is included in the first language unit set consisting of meta type language units. Contains an interface for selecting some of the language units.

When the type identification information received in step 950 corresponds to a numeric type, the first language unit set includes numeric language units, and the selection interface page information is a language included in the first language unit set consisting of numeric language units. It includes an interface for selecting some of the units and an interface for adjusting a context-language unit association for the selected language unit.

In step 960, the controller 930 selects a preset number of objects based on the language unit selected through the selection interface page information.

The control unit 930 receives identification information for some language units of the first language unit set from the terminal through the selection interface page information, and checks a language unit corresponding to the received identification information.

When the type of the identified language unit is a numeric type, a context-language unit association degree is received from the terminal to the numeric language unit.

In the context-language unit association degree corresponding to each numeric language unit corresponding to the received identification information of the numeric language unit, the object-language unit association degree corresponding to the numeric language unit and an arbitrary object is reflected. A value is set to have a positive correlation between a value accumulated for the received numeric language units and a context-object association for the arbitrary object.

For example, for each numeric language unit, the corresponding context-language unit association is multiplied by the numeric language unit and the object-language unit association corresponding to an arbitrary object (or similarly weighted). By calculating the accumulated values for the numerical language units that received the values, the context-object association may be made. In another embodiment, instead of multiplying the context-language unit association degree and the object-language unit association degree, the control unit 320 uses another calculation/use method such that the context-language unit and object-language unit association have a positive correlation. Context-object correlation can also be obtained using the applied function. In addition, for each numeric language unit, a value obtained by multiplying the corresponding context-language unit association degree by the numeric language unit and the object-language unit association corresponding to an arbitrary object (or similarly adding weight) is received. Any method of applying a correction based on other factors to the accumulated values of the numerical language units and utilizing them as a context-object relationship can be utilized.

For example, when the selected language unit type is a meta type, a preset number of objects is selected based on an object-language unit association degree corresponding to the selected meta type language units.

In step 970, the controller 320 may provide an object list including an object selected based on the context-object relationship to the terminal 200 through the interface. For example, if the context-object relationship corresponding to the selected language unit C ₂ is as shown in Table 3 below, the controller 320 may provide the object as an interface in the order of Table 4.

Object item Context-Object Association i ₁ 0.23 i ₂ 0.33 i ₃ 0.99 i ₄ 0.84

order Object item Context-Object Association One i ₃ 0.99 2 i ₄ 0.84 3 i ₂ 0.33 4 i ₁ 0.23

That is, the control unit 320 may select a preset number of objects in the order of a context-object correlation for the selected language unit in a high order, and provide an object list including the selected objects through the interface. The terminal 200 receiving the object list may provide pre-stored related information on the object i ₃ to the user through the display unit 220. The terminal 200 may also provide pre-stored related information about other objects in a lower order, if necessary. The terminal 200 may provide information on the object i ₃ to the user through a speaker instead of the display unit 220 by voice.

In another variation, steps 930 to 950 may be repeatedly performed by a user. That is, in step 930, a numeric language unit is selected to generate a first language unit set, which is a numeric language unit set, and in step 940, at least one numeric language unit is selected from the first language unit set consisting of numeric language units. After selection, the context-language unit association degree of the numerical language unit selected in step 950 is set and temporarily stored. Thereafter, the process returns to step 940 again to select a meta-type language unit to generate a first language unit set that is a meta-type keyword set, and in step 950, at least one meta-type language unit from the first language unit set consisting of meta-type keywords You can choose

In this case, the context-object association is calculated by reflecting the context-language unit association in the object-language unit association level in step 960, and then filtering the objects associated with the selected meta-type language unit, and then context-object association. Objects can be selected in the highest order.

In step 980, upon receiving an instruction for storage of the selected language unit and the corresponding degree of association through the interface from the terminal, the control unit stores the selected language unit and the corresponding context-language unit degree of association as an arbitrary virtual context. Save to wealth.

In step 990, the selected language unit stored according to the stored virtual context search request and the corresponding context-language unit association degree are provided to the user as a movie recommendation item. A movie recommendation item will be described later with reference to FIG. 25.

In another variation, as a pre-processing process, an item category classification process may be added. When an item category is classified, it is possible to manage movie recommendation items for the classified item category.

Item category classification and item category setting will be described with reference to FIG. 11.

In one embodiment of the present specification, the controller 320 may provide an item list classified according to the type of object (item category).

To this end, in step 911, the controller 320 classifies a plurality of objects into a plurality of items. They may be classified based on the steps described in FIG. 5 or may be classified by an administrator.

In step 912, a plurality of objects of the specific item category related to the respective language units are matched based on documents related to the specific item category.

To this end, numeric language units and meta-type language units may be obtained from the terminal through the communication unit. When the numeric language units and the meta-type language unit are acquired in step 912, the acquisition of the numeric language units and the meta-type language unit in step 920 may be omitted.

In step 913, a language unit associated with a plurality of objects corresponding to each item category is set as a language unit corresponding to the item category.

In step 914, the list of the item categories is provided to the terminal through the item category selection interface.

In step 915, one item category from among item categories is selected from the terminal through the item category selection interface.

In step 916, a language unit set consisting of language units corresponding to the selected item category is generated.

Thereafter, step 920 of FIG. 9 may be performed. Provided to the terminal The control unit 320 provides the item list to the terminal through the interface, receives one item from the item list, and generates a set of basic language units corresponding to the selected item.

The step of FIG. 9 is performed only for language units included in the generated basic language unit set.

The object-language unit association degree set by the document-based analysis related to the object type (item category) is set differently according to the item category. As can be seen with reference to FIG. 5 described above, since different sets of documents are collected according to the type of object (item category), the degree of object-language unit association based on the similarity of language units and frequency of language units is the type of object. It differs according to (item category).

Only for language units included in the basic language unit set corresponding to the selected item category, a first language unit set is generated through steps 920 and 930.

For example, if the item category is'cartoon', the language unit categories of the language units included in the basic language unit set are'drawings','characters','story','social reactions','reviews','materials', It may be'Autumn','Adult','Floating','Popular', etc., and if the item category is'Broadcasting', the language unit categories of the language units included in the basic language unit set are'Genre characteristics' and'Performers. ','user reaction','producer', etc. may be.

12 is an example of an interface page according to an embodiment of the present specification, FIG. 13 is an example of an interface for item selection according to an embodiment of the present specification, and FIG. 14 is an example of an interface page according to an embodiment of the present specification. This is an example of a part of the selection interface page.

The interface page is displayed on the terminal 300 according to information provided by the information providing device 300. When a button or tab displayed on the interface page is selected, the terminal 200 may transmit input information converted from a user's input to the information providing device 300.

Referring to FIG. 12, the interface page I-100 for managing movie recommendation items includes an item selection unit (I-110), a language unit search unit (I-120), a language unit selection unit (I-130), and a snap. A shot unit I-140 and a result preview unit I-150 may be included.

12 and 13, the item selection unit I-110 displays a list of categories of objects that can be searched or recommended. As an example, the item selection unit I-110 may display a list of items such as cartoons, movies, novels, dramas, and entertainment.

The administrator or user may select one of a plurality of item categories through the item selection unit I-100 of the interface page displayed on the terminal.

The language unit search unit (I-120) includes a search window (I-121), and the user enters all or part of the desired keytalk in the search window (I-121) to select a language unit that matches the virtual context. You can easily search.

12 and 14, the language unit selection unit I-130 includes language unit type selection tabs I-131 and I-132, a language unit category display unit I-135, and a language unit set display unit I. -133). Through the language unit type selection tab (I-131, I-132), the language unit category display unit (I-135), and the language unit set display unit (I-133), the user can select keywords and keyword relevance according to the virtual context. It can be easily selected.

The language unit type selection tabs I-131 and I-132 include a numeric tab I-131 and a meta tab I-132. When the user selects a numeric language unit through the numeric tab (I-131) of the interface page displayed on the terminal, a first language unit set consisting of a plurality of numeric language units is displayed on the language unit set display unit (I-133). , When the user selects a meta-type language unit through the meta-type tab I-132, it is displayed on the first language unit set display unit I-133 composed of a plurality of meta-type language units.

The language unit category display unit I-135 displays a language unit category corresponding to the first language unit set.

The language unit category displayed in the language unit category, for example, a set of first language units classified as'genre characteristics' is displayed.

The language unit set display unit I-133 displays a plurality of language units included in the first language unit set. When some of the plurality of language units displayed on the language unit set display unit I-133 are selected, the selected language unit is displayed on the snapshot unit I-140 to be described later.

In addition, the language unit set display unit I-133 may include a previous page button and/or a next page button for moving a page in case all keywords included in the first language unit set are not displayed on one page. . The previous page button and/or the next page button may be selectively provided according to the number of actual keywords and the current page position. In addition, instead of a previous page button and/or a next page button, an interface extending through scrolling may be provided.

15 is an example of a part of an interface page including a meta-type language unit according to an embodiment of the present specification.

Referring to FIG. 15, the language unit category display unit I-135 displays a meta-type language unit, for example, a language unit whose category is'appearance'. The language unit of the'appearance' category is, for example, a language unit indicating whether or not a specific celebrity appeared on the corresponding broadcast.

The language unit set display unit I-133 may display a numeric language unit and a meta-type language unit differently from each other.

For example, the language unit set display unit I-133 of FIG. 14 displays the numeric language unit with a long oval frame, while the meta-type language unit of FIG. 15 is displayed with a rectangular frame.

As another example, the language unit set display unit I-133 may display a numeric language unit and a meta-type language unit differently from each other by changing a text color, a border color, and a background color of each keyword.

15 is an example of a part of an interface page including a meta-type language unit according to an embodiment of the present specification.

Referring to FIG. 15, the language unit category display unit I-135 displays a meta-type language unit, for example, a language unit whose category is'appearance'. The language unit of the'appearance' category is, for example, a language unit indicating whether or not a specific celebrity appeared on the corresponding broadcast.

The language unit set display unit I-133 may display a numeric language unit and a meta-type language unit differently from each other.

For example, the language unit set display unit I-133 of FIG. 14 displays the numeric language unit with a long oval frame, while the meta-type language unit of FIG. 15 is displayed with a rectangular frame.

As another example, the language unit set display unit I-133 may display a numeric language unit and a meta-type language unit differently from each other by changing a text color, a border color, and a background color of each keyword.

16 is an example of a part of an interface page including a search box according to an embodiment of the present specification.

14 and 16, the language unit set display unit I-133 may display a second language unit set, which is a set of language units including a search word input in the search window I-121.

For example, if'C' is entered in the search box (I-121), the second language unit set whose language unit category is'genre characteristic' is'various','providing various information, and'different dimensions' ', and the second language unit set whose language unit category is'user response' includes'unconventional','like cider','waiting','rewarding waiting', and'laughing'. I can.

The language unit set display unit I-133 may display a word input in a search box among language units included in the second language unit set differently from the rest of the language units. For example, when'Multi' is entered in the search box (I-121) and'Various' is displayed in the second language unit set,'Da' and'Yanghan' are displayed in different colors or different sizes in'Various'. Can be.

In another variation, the language unit set display unit I-133 may further display a language unit that does not include the search word, and differently display a language unit that includes the search word and a language unit that does not include the search word. Alternatively, a language unit including a search word may be displayed first, and a language unit not including the search word may be displayed later.

The language unit set display unit I-133 receives one or more language units selected by a user from among a plurality of displayed language units and transmits them to the control unit 320. The controller 320 causes the selected language unit to be displayed on the snapshot unit I-140.

FIG. 17 is an example of a part of an interface page including a snapshot unit I-140 according to an exemplary embodiment of the present specification, and FIG. 18 is a correlation control unit I-149 according to an exemplary embodiment of the present specification. Is an example of a part of an interface page that includes

12, 17, and 18, the snapshot unit (I-140) includes an association degree setting button (I-147), a keyword deletion button (I-148), and a keyword setting storage button (I-146). Include.

When the relevance setting button (I-147) is selected by the user through the interface page displayed on the terminal, each of the numeric language units selected through the language unit search unit (I-120) and the language unit selection unit (I-130) For the context-language unit association, a user-adjustable association degree adjustment unit I-149 is provided.

The user inputs the context-language unit association degree of the numerical language unit selected through the association degree control unit I-149. The association degree adjustment unit I-149 may be displayed in the form of a slide bar. One end of the slide bar may correspond to the lowest degree of association and the other end may correspond to the maximum degree of association. The degree of association may be, for example, 0 to 1 or 0.1 to 5. The range of such a degree of association is only an example, and is not limited thereto.

The language unit deletion button I-148 is matched to each of the selected language units and displayed, and when the language unit deletion button I-148 is selected, the matched keyword may be deleted.

When the language unit deletion button (I-148) is selected by the user, the terminal 200 provides input information to the information providing device 300, and the control unit 320 of the information providing device 300 is Can be deleted. Deleting a language unit means canceling the language unit selection by the user.

The language unit setting save button (I-146) is the context of the meta-type language unit and the numeric language unit selected through the language unit selection unit (I-130), and the numeric language unit selected through the snapshot unit (I-140). The degree of association of language units can be stored by user selection.

When the language unit setting save button I-146 is selected, the control unit 320 stores the language unit and context-language unit association related settings together with log information through the snapshot unit I-140. By storing the relationship between language units and context-language units together with log information, it is possible to directly set the stored language unit and context-language unit association when searching for log information later.

Instead of the buttons I-148 and I-146, another interface similar to the button or another interface capable of performing the role of the button may be utilized.

12 and 19, the result preview unit I-150 is a result preview unit I-150 based on the selected language unit and context-language unit association, as shown in FIG. Provides information on one or more searched objects. To this end, the control unit 320 provides the searched object information to the result preview unit I-150 according to the user's selection through the language unit selection unit I-130 and the snapshot unit I-140.

In addition, when a result view according to the virtual context (selected language unit and context-language unit association) stored by the control unit is selected, the result preview unit I-150 provides object information according to the virtual context.

The result preview unit I-150 may display an image and an individual item name (eg, a broadcast program/book) of the searched object based on the selected language unit. When there are a plurality of searched objects, the objects may be displayed in the order of high relevance.

When the searched object is, for example, programs, the main image and title of the program may be displayed.

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

When the searched object is, for example, programs, when an arbitrary program is selected, the program's organization, highest viewing rate, genre, performer, production staff, and official website address may be displayed in detail.

Through the result preview, the user can check the searched object item in advance. Accordingly, when an object not suitable for the virtual context is included in the result, the user can perform re-search, thereby providing a result suitable for the virtual context that the user thinks.

20 is an example of an interface page according to another embodiment of the present specification, FIGS. 21 to 24 are examples of an interface for selecting an item according to another embodiment of the present specification, and FIG. 25 is an embodiment of the present specification This is an example of a part of the interface page including the search result according to the example.

The interface page is displayed on the terminal 300 according to information provided by the information providing device 300.

Referring to FIG. 20, an interface page for managing movie recommendation items (II-100) includes an item selection unit (II-110), a keyword selection unit (II-120), and a result preview unit (II-130). I can.

20 and 21, the item selection unit I-110 displays a list of categories of objects that can be searched or recommended. As an example, the item selection unit I-110 may display a list of item categories, such as movies, broadcasts, stars, webtoons, wine, clothes, art, and beer.

The administrator or user may select one category from a list of a plurality of item categories displayed on the item selection unit I-100.

20 and 22, the keyword selection unit II-120 includes a category selection tab II-121 and a language unit aggregation unit II-122.

The category selection tab (II-121) displays a list of a plurality of language unit categories. The plurality of language unit categories may include any one of a group consisting of a picture font, character, story, social reaction, review, material, autumn, right, floating, and popularity.

The category selection tab II-121 includes check boxes II-123 matched for each displayed language unit category. When the check box is selected, the category selection tab II-121 displays the first language unit set corresponding to the selected language unit category on the language unit set unit II-122.

Through the category selection tab (II-121), the user selects one or more language unit categories that meet the predetermined context from the language unit category list.

The category selection tab (II-121) may include a meta-type language unit tab (II-221) and a numeric language unit tab (II-321).

Referring to FIGS. 20 and 23, the meta-type language unit tab II-221 displays one or more meta-type language unit categories included in a category list of one or more meta-type language units.

As shown in FIG. 23, the meta-type language unit tab (II-221) displays a category of meta-type language units, for example,'Serial weekday'. The first language unit set included in the meta-type language unit category is displayed on the language unit set unit II-122. The user may select one or more of the meta-type language units displayed on the language unit collection unit II-122, for example, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, and Sunday.

20 and 24, a numeric language unit tab (II-321) displays a numeric language unit category. When the numeric language unit tab II-321 includes a plurality of numeric language units, a check box II-323 matching each numeric language unit may be included. The user selects the check box (II-323) displayed on the numeric language unit tab (II-321) and selects a plurality of numeric language units such as picture, character, story, novel reaction, review, material, fall, right, and floating. You can select one or more numeric language units from among, popularity, etc.

The first language unit set included in the numeric language unit selected in the numeric language unit tab (II-321) is displayed on the language unit set unit (II-322). The user has numerical language units displayed in the language unit set part (II-322), such as dreamy, expected diversion, attraction, novelty, crunchy, heavy, sticky, beneficial, warm, growing, sweet, empathy. You can choose one or more numeric language units: thin, cheerful, scary, new, exciting, funny, cruel, raunchy, sensational, solid storyline, warming, didactic.

Each language unit displayed on the language unit aggregation unit II-322 may be displayed to be classified according to a language unit category.

As can be seen with reference to FIGS. 23 and 24, the numeric language unit and the meta-type language unit may be displayed differently from each other. For example, the numeric language unit of FIG. 24 is displayed with a long oval frame, while the meta-type language unit of FIG. 23 is displayed with a rectangular frame.

As another example, a numeric language unit and a meta-type language unit may be displayed differently by changing a text color, a border color, and a background color of each keyword.

20 and 25, the curation unit (II-130) is the context of the language unit (keyword) selected from the language unit aggregation unit (II-122) and/or the language unit aggregation unit (II-322)- Provides information on one or more objects searched based on object relevance.

The curation unit (II-130) previews the searched object information according to the user's selection through the curation storage tab (II-131), the language unit display unit (II-132), and the result preview (II-133). It is provided through the viewing section (II-133).

The selection keyword display unit II-132 displays one or more keywords selected by the keyword selection unit II-120. One or more language units may be arranged side by side in a selected order. The selected keyword may be displayed differently according to the type of the keyword. If the selected keyword contains, for example,'benefit','number','complete', the numerical language unit'benefit' is displayed as a long oval, and the meta-type language units'number' and'complete' are rectangular. Is displayed.

The curation storage tab II-131 stores the language units displayed on the selection keyword display section II-132 as recommended items in the storage section.

If there are recommended items stored in advance, the recommended items can be displayed together when the interface page (II-100) for managing movie recommendation items is provided. That is, when a recommendation item previously stored by the administrator or the user exists, the user displays the selected language unit included in the recommendation item without selecting a language unit type or language unit. In addition, the selected object may be displayed on the result preview unit II-133 on the basis of the selected language unit included in the recommended item and the context-language unit association with the selected language unit. The object selection method is the same as step 960 of FIG. 9.

The result preview unit II-133 displays an object list including one or more objects selected based on the selected keyword. The result preview unit II-133 may display an image of the searched object and an individual item name (eg, a cartoon). When there are a plurality of searched objects, the objects may be displayed in the order of high relevance.

The result preview unit (II-133) is serialized on'Wednesday', for example, and displays the objects in the order of'benefit' and high correlation among'completed' objects.

When the searched object is, for example, programs, the main image and title of the program may be displayed.

In addition, the result preview unit II-133 may include a previous page button and/or a next page button for moving a page in case all objects included in the object list are not displayed on one page. The previous page button and/or the next page button may be selectively provided according to the number of objects and the current page position. In addition, instead of a previous page button and/or a next page button, an interface extending through scrolling may be provided.

When any one of a plurality of objects is selected, detailed information on the corresponding object may be provided.

When the searched object is, for example, a cartoon, the author of the cartoon, other works of the corresponding author, and the address of the author's homepage may be displayed in detail.

Through the result preview, the user can check the searched object item in advance. Accordingly, when an object item that is not suitable for the virtual context is searched, it is possible to re-search, and a result suitable for the virtual context that the user thinks can be provided.

The movie recommendation item provided to the actual customer/buyer in the future may be determined according to the virtual situation set above. However, the virtual context is fixed, but as external learning data is added, the recommended movie recommendation items will gradually change according to the virtual context. Therefore, the administrator can effectively create dynamically changing recommendations.

According to a method for managing movie recommendation items using a language unit of an information providing device according to an embodiment of the present specification, it is possible to easily manage movie recommendation items corresponding to a virtual situation considered by a user.

At this time, it will be appreciated that each block of the flowchart diagrams and combinations of the flowchart diagrams may be executed by computer program instructions. Since these computer program instructions can be mounted on the processor of a general purpose computer, special purpose computer or other programmable data processing equipment, the instructions executed by the processor of the computer or other programmable data processing equipment are described in the flowchart block(s). It creates a means to perform functions. These computer program instructions can also be stored in computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing equipment to implement a function in a particular way, so that the computer-usable or computer-readable memory It is also possible to produce an article of manufacture containing instruction means for performing the functions described in the flowchart block(s). Computer program instructions can also be mounted on a computer or other programmable data processing equipment, so that a series of operating steps are performed on a computer or other programmable data processing equipment to create a computer-executable process to create a computer or other programmable data processing equipment. It is also possible for instructions to perform processing equipment to provide steps for executing the functions described in the flowchart block(s).

In addition, each block may represent a module, segment, or part of code that contains one or more executable instructions for executing the specified logical function(s). In addition, it should be noted that in some alternative execution examples, functions mentioned in blocks may occur out of order. For example, two blocks shown in succession may in fact be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order depending on the corresponding function.

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

Those of ordinary skill in the art to which the present specification pertains will appreciate that the present specification may be implemented 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 and non-limiting in all respects. The scope of the present specification is indicated by the scope of the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and the concept of equivalents thereof are included in the scope of the present specification. Must be interpreted.

Meanwhile, in the present specification and drawings, preferred embodiments of the present specification have been disclosed, and although specific terms are used, these are merely used in a general meaning to easily describe the technical content of the present specification and to aid understanding of the invention. It is not intended to limit the scope of the specification. In addition to the embodiments disclosed herein, it is obvious to those of ordinary skill in the art that other modified examples based on the technical idea of the present specification may be implemented.

Claims (17)

A movie recommendation item management device using a language unit including a terminal and an information providing device that is connected to the terminal through a communication network and provides numeric language units, meta-type language units, and language unit categories of each language unit. As a method for managing movie recommendation items using language units,
Obtaining numerical language units, meta-type language units, and language unit categories of each language unit by the information providing device;
Receiving type identification information indicating selection of a language unit type of either a numeric type or a meta type from the terminal;
Generating a first set of language units corresponding to the type identification information from among the language units acquired by the information providing device;
Providing, by the information providing device, selection interface page information including an interface for selecting some language units from the first language unit set to the terminal;
Selecting a preset number of objects based on the language unit selected through the interface by the information providing device;
Transmitting interface page information including an object list including the selected object to the terminal by the information providing device;
Storing the selected language unit and a corresponding degree of association as a recommendation item for a virtual situation by the information providing device; And
Providing the selected interface page information including a selected language unit and a corresponding degree of association included in the stored recommendation item to the terminal; Including,
The selection interface page information further includes an interface for adjusting a context-language unit association degree for the selected language unit when the first language unit set is a numeric type and a language unit set,
Selecting a preset number of objects based on the language unit selected through the interface,
Receiving identification information of a numeric language unit selected from the terminal and a corresponding context-language unit association pair, and selecting a preset number of objects based on the numeric language unit and context-language unit association pair How to manage movie recommendation items using the language unit. The method of claim 1,
The step of selecting a preset number of objects based on the received identification information of the numerical language unit and the context-language unit correlation pair,
In the context-language unit association degree corresponding to each numeric language unit corresponding to the received identification information of the numeric language unit, the object-language unit association degree corresponding to the numeric language unit and an arbitrary object is reflected. Setting a value to have a positive correlation between a value accumulated for the received numeric language units and a context-object relationship for the arbitrary object; Management method. The method of claim 1,
The selection interface information page includes a search interface for searching by language,
The search interface includes an interface for selecting a part of language units from a set of language units corresponding to a character string inputted in the search window of the first language unit set in the search interface of the first language unit. . The method of claim 1,
A method for managing movie recommendation items using language units, wherein the interface for selecting some language units from the first language unit set displays each language unit of the first language unit set to be classified according to a language unit category. The method of claim 3,
The interface for selecting some language units from the first language unit set displays each language unit of the first language unit set to be classified according to a language unit category,
The interface for selecting a part of a language unit from a set of language units corresponding to a character string input into the search box from among the first language unit set is a language unit corresponding to a character string input into the search box from the first language unit set A method of managing movie recommendation items using language units that display them according to language categories. The method of claim 1,
Classifying a plurality of objects into a plurality of item categories;
Matching a plurality of objects of the specific item category related to the language unit based on documents related to the specific item category;
Setting a language unit associated with a plurality of objects corresponding to each item category as a language unit corresponding to the item category;
Providing a list of the item categories to the terminal through an item category selection interface;
Receiving a selection of one item category from among a plurality of item categories from the terminal through the item category selection interface; And
Generating a set of basic language units including language units corresponding to the selected item category; method for managing movie recommendation items using a language unit further comprising. The method of claim 6,
The item category is a movie recommendation item management method using a language unit of an information providing device including any one or more of cartoons, movies, novels, dramas, and entertainment. The method of claim 1,
Before the step of generating the first language unit set,
Storing the object-language unit association degree based on the representative attribute-sub-attribute association degree corresponding to the representative attribute keyword and the sub-attribute keyword pair, and the sub-attribute-object association degree corresponding to the sub-attribute keyword and object pair; and A method of managing movie recommendations using a language unit that further includes. A travel destination recommendation item management device using a language unit including a terminal and an information providing device that is connected to the terminal through a communication network and provides numeric language units, meta-type language units, and language unit categories of each language unit,
The information providing device,
Obtaining the numerical language units, meta-type language units, and language unit categories of each language unit,
Receiving type identification information indicating selection of a language unit type of either a numeric type or a meta type from the terminal,
Generates a first language unit set corresponding to the type identification information from among the acquired language units,
Providing selection interface page information including an interface for selecting some language units from the first language unit set to the terminal,
Selecting a preset number of objects based on the language unit selected through the interface,
Transmitting interface page information including an object list including the selected object to the terminal,
Storing the selected language unit and the corresponding degree of association as a recommendation item for a virtual situation,
Selecting a preset number of objects based on the identification information of the numeric language unit received through the selection interface page and a context-language unit association degree pair,
The selection interface information page includes a search interface for searching by language,
If the received type identification information is type identification information corresponding to the numeric type, the selection interface page information further includes an interface capable of adjusting a context-language unit association degree of the selected language unit. Management device. The method of claim 9,
The information providing apparatus includes an object-language corresponding to a context-language unit association degree corresponding to each numeric language unit corresponding to the received identification information of the numeric language unit, and an object-language corresponding to the numeric language unit and an arbitrary object. A movie recommendation item using a language unit in which a value reflecting the degree of unit relevance is set to have a positive correlation between the accumulated value of the received numerical language units and the context-object correlation for the arbitrary object Management device. The method of claim 9,
The search interface is a movie recommendation item management apparatus using a language unit including an interface capable of selecting a part of a language unit from a set of language units corresponding to a character string input in a search window of the search interface from among the first language unit set . The method of claim 9,
The apparatus for managing movie recommendation items using a language unit, wherein the interface for selecting some language units from the first language unit set, displays each language unit of the first language unit set to be classified according to a language unit category. The method of claim 11,
The interface for selecting some language units from the first language unit set displays each language unit of the first language unit set to be classified according to a language unit category,
The interface for selecting a part of a language unit from a set of language units corresponding to a character string input into the search box from among the first language unit set is a language unit corresponding to a character string input into the search box from the first language unit set Movie recommendation item management device using a language unit that displays audio files according to language categories. The method of claim 9,
The information providing device classifies a plurality of objects into a plurality of item categories, matches a plurality of objects of the specific item category related to the language unit based on documents related to a specific item category, and matches a plurality of objects of the specific item category related to each item category. A language unit associated with an object of is set as a language unit corresponding to the item category, and one item category among a plurality of item categories included in the list of item categories is selected from the terminal, and corresponds to the selected item category. A movie recommendation item management device using a language unit that generates a basic language unit set including language units. The method of claim 14,
The item list is a movie recommendation item management device using a language unit including any one or more of cartoons, movies, novels, dramas, and entertainment. The method of claim 9,
The information providing apparatus calculates the object-language unit association degree based on a representative attribute-sub-attribute association degree corresponding to a representative attribute keyword and a sub-attribute keyword pair, and a sub-attribute-object association degree corresponding to the sub-attribute keyword and object pair. Movie recommendation item management device using a language unit stored in the storage unit. The method of claim 9,
The communication unit receives an instruction for storage of a language unit selected through the interface and a corresponding degree of association from the terminal,
The information providing device is a movie recommendation item management device using a language unit for providing the selection interface page information including a selected language unit and a corresponding degree of association included in the stored recommendation item to the terminal.

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