JP6980404B2 - Display order presentation device and display order presentation method - Google Patents

Description

The present invention relates to an article display order presentation device and a display order presentation method.

Since the number of contents posted on the Internet is enormous, the content provider sorts the contents according to, for example, the newness of the contents and the number of accesses (popularity) and presents the contents to the user. For example, in Patent Document 1, the video distribution server determines the priority of a program to be distributed based on a keyword frequently used recently on the Internet, and the program name to which the priority is given is given to the terminal. It is disclosed that the transmission is performed and the terminal displays a list of program names in an order according to the priority.

Japanese Unexamined Patent Publication No. 2007-199315

Users have a need to preferentially check content that is highly topical in the world (for example, news articles). However, in the prior art as shown in Patent Document 1, for example, the contents having high topicality in the world do not always have high priority, and the contents have not been posted in the order of high topicality so far.

An object of the present invention is to provide a display order presenting device and a method for determining a display order of contents according to a high degree of topicality from time to time.

The display order presenting device according to one aspect of the present invention has an article keyword extraction unit that extracts article keywords from each article, and a TV meta acquisition unit that acquires a broadcast keyword broadcast in broadcast content and the number of appearances of the broadcast keyword. And, the keyword score of each article keyword is calculated according to the number of appearances of the broadcast keyword matching each article keyword, and the overall score of the article is calculated according to the total of the keyword scores of each article keyword. A unit and a display order determination unit that determines the display order of the articles according to the level of the overall score of each article are provided.

According to the present invention, by using the number of appearances of broadcast content, it is possible to determine the display order of the content according to the height of topicality from time to time.

It is a block diagram which shows the structural example of the display order presenting apparatus which concerns on this embodiment. It is a table figure which shows the structural example of a recommendation dictionary. It is a figure which shows the configuration example of the article keyword management table. It is a figure which shows the configuration example of the TV meta search query management table. It is a figure which shows the configuration example of the TV meta management table. It is a figure which shows the configuration example of the article score management table. It is a figure which shows the configuration example of the weighting definition table. It is a figure which shows the modification of the article score management table. It is a flowchart which shows the whole processing example. It is a schematic diagram which shows the display example of the similar article group which concerns on a modification. It is a figure which shows the hardware configuration example of the user terminal which concerns on this invention.

(Background to the present invention)
When providing a service that collects articles provided on the Internet and distributes them to users, there are cases where users want to preferentially browse articles that are highly topical in the world. On the other hand, in broadcast content, there is a tendency for topics with high topics to be broadcast from time to time, and there is a service that provides TV meta information in which the content of the broadcast content is converted into text. The present inventor paid attention to this point and came to the present invention.

The present invention utilizes TV meta information to calculate the topicality of articles provided on the Internet from time to time, and displays the articles in descending order of topicality, thereby making the world a topic for users. The main feature is to give priority to high-quality articles.

Hereinafter, the present embodiment will be described with reference to the drawings.

<Configuration of display order presentation device>
FIG. 1 is a block diagram showing a configuration example of the display order presenting device 10 according to the present embodiment. The display order presenting device 10 includes an article collection unit 101, an article holding unit 102, an article keyword extraction unit 103, an article keyword management table 104, a TV meta acquisition unit 105, a TV meta management table 106, and a score calculation unit. It has 107, an article score management table 108, and a display order determination unit 109.

The article collecting unit 101 collects an article, which is an example of the content, from each article providing server 201 and stores it in the article holding unit 102. Articles are, for example, news articles of various genres.

The article keyword extraction unit 103 extracts article keywords from each article stored in the article holding unit 102 and stores them in the article keyword management table 104. The details of the article keyword extraction process will be described later.

The TV meta acquisition unit 105 acquires TV meta information from the TV meta providing server 202 and stores it in the TV meta management table 106. The TV meta acquisition unit 105 generates a search query using the TV meta search query management table 112 (see FIG. 4), and sends the search query to the TV meta providing server 202 from the TV meta providing server 202. Acquire the TV meta information corresponding to the search query. The TV meta information includes at least a broadcast keyword broadcast in the broadcast content and the number of appearances of the broadcast keyword. The details of the method of acquiring TV meta information will be described later.

The score calculation unit 107 calculates the keyword score of each article keyword in the article keyword management table 104 by using the number of appearances of the broadcast keyword in the TV meta management table 106. After that, the score calculation unit 107 may increase or decrease the keyword score by using the weighting definition table 113. Then, the score calculation unit 107 calculates the overall score of the article according to the total of the keyword scores of each article keyword included in the article, and registers it in the article score management table 108. The details of the method of calculating the keyword score and the overall score will be described later.

The display order determination unit 109 determines the display order of each article according to the height of the overall score of each article in the article score management table 108.

<Details of article keyword extraction process>
Hereinafter, the details of the article keyword extraction process in the article keyword extraction unit 103 will be described with reference to FIGS. 2 and 3.

The article keyword extraction unit 103 analyzes the text of the article by morphological element and extracts the morpheme (word). Then, the article keyword extraction unit 103 extracts the article keyword from the extracted morphemes by using the recommendation dictionary 111 shown in FIG. In the recommendation dictionary 111, as shown in FIG. 2, the main feature word, the sub-feature word, and the genre ID are managed in association with each other. Article keywords are extracted by the process of ST14).

(ST11) The article keyword extraction unit 103 specifies the genre ID of the article. The correspondence between the article and the genre ID is predetermined by the predetermined definition information held by the display order presenting device 10.
(ST12) The article keyword extraction unit 103 specifies a morpheme that matches the sub-feature word associated with the genre ID of the article in the recommendation dictionary 111 from the morphemes extracted from the article.
(ST13) The article keyword extraction unit 103 converts a morpheme that matches the sub-feature word into a main feature word associated with the sub-feature word in the recommendation dictionary 111. As a result, the notation fluctuation is absorbed.
(ST14) The article keyword extraction unit 103 registers the main feature word as an article keyword in the article keyword management table 104 shown in FIG. At this time, the article keyword extraction unit 103 registers the main feature word extracted from the title of the article as the article keyword of the title, and the main feature word extracted from the body of the article as the article keyword of the text in the article keyword management table 104. do.

<Details of TV meta acquisition process>
Hereinafter, the details of the TV meta information acquisition process in the TV meta acquisition unit 105 will be described with reference to FIG.

The TV meta acquisition unit 105 acquires TV meta information from the TV meta providing server 202 by using the TV meta search query management table 112 shown in FIG. As shown in FIG. 4, the TV meta search query management table 112 manages the genre ID, the topic category ID, the information type ID, the item category ID, and the period in association with each other.

The genre ID is information for identifying the genre of the article. As the types of genres, as shown in the example of FIG. 4, there are entertainment, sports, and the like. The display order presenting device 10 determines the display order of articles for each genre.

The topic category ID is information for identifying the type of the topic category of the broadcast keyword. Types of topic categories include, for example, sports news, movies, dramas, sports broadcasts, highlights, commercials, and the like. The topic category ID is defined by the TV meta-providing server 202, and the TV meta-providing server 202 searches only the broadcast keywords to which the topic category ID specified in the search query is assigned.

The information type ID is information for identifying the type of information type of the broadcast keyword. Types of information types include, for example, movies, products, addresses / regions, recipes, and the like. The information type ID is defined by the TV meta-providing server 202, and the TV meta-providing server 202 searches only the broadcast keywords to which the information type ID specified in the search query is assigned.

The item category ID is information for identifying the type of the item category of the broadcast keyword. Types of item categories include, for example, gourmet, fashion, interior, travel, entertainment / entertainment and the like. The ID of the item category is defined by the TV meta-providing server 202, and the TV meta-providing server 202 searches only the broadcast keywords to which the item category ID specified in the search query is assigned.

The period is information for designating the broadcast time zone of the broadcast content to be the search query target. When the period "24 hours" is set in the search query, the TV meta-providing server 202 searches for the broadcast content broadcast between the time when the search query is received and the time up to 24 hours before.

For example, when the TV meta acquisition unit 105 acquires TV meta information related to the genre ID "sports", the topic category ID and the information type ID associated with the genre ID "sports" in the TV meta search query management table 112. , Create a search query with the item category ID and duration. Then, the TV meta acquisition unit 105 sends the created search query to the TV meta providing server 202, and receives the TV meta information matching the search query from the TV meta providing server 202.

The received TV meta information includes a broadcast keyword that matches the search query, the number of appearances of the broadcast keyword, an information type ID, and a person attribute ID. The TV meta acquisition unit 105 registers the broadcast keyword, the number of appearances, the information type ID, and the person attribute ID of the acquired TV meta information in association with the TV meta management table 106 shown in FIG. When the broadcast keyword is related to a person, the person attribute ID is information for identifying the attribute of the person, and is information given by the TV meta-providing server 202. Character attributes include, for example, talents, screenwriters / directors / directors, swimmers / synchro players, and the like.

<Details of score calculation process>
Hereinafter, the details of the score calculation process in the score calculation unit 107 will be described with reference to FIGS. 3, 5, 6, 7, and 8.

<< Basic operation >>
The score calculation unit 107 calculates the keyword score of each article keyword in the article keyword management table 104 and the overall score of each article by using the number of appearances of the broadcast keyword in the TV meta management table 106. A specific example will be described below.

As shown in FIG. 3, in the article ID "A", the article keywords of the title include "Tokyo" and "gold medal", and the article keywords of the text include "figure skating" and "swimming". Further, as shown in FIG. 5, the number of appearances of the broadcast keyword “Tokyo” is “10”, and the number of appearances of the broadcast keyword “swimming” is “7”.

Therefore, as shown in FIG. 6, the score calculation unit 107 uses the number of appearances “10” of the broadcast keyword “Tokyo” that matches the article keyword “Tokyo” to set the keyword score of the article keyword “Tokyo” to “10”. Is calculated. Similarly, the score calculation unit 107 calculates the keyword score of the article keyword "swimming" as "7" by using the number of appearances "7" of the broadcast keyword "swimming" that matches the article keyword "swimming". As for the article keywords "gold medal" and "figure skating", there is no matching broadcast keyword, so the keyword score of these article keywords is set to "0".

Next, the score calculation unit 107 totals the keyword scores "10", "0", "0" and "7" of each article keyword included in the article with the article ID "A", and sets the article ID "A". Calculate the overall score "17" for the article. Similarly, the score calculation unit 107 calculates the overall score "19" of the article with the article ID "B" and the overall score "8" of the article with the article ID "C". In this case, the display order determination unit 109 determines the display order of the articles in the order of the highest overall score, that is, the article IDs "B", "A", and "C".

<< Weighting by title >>
The score calculation unit 107 multiplies the number of appearances of the broadcast keyword by a different weighting coefficient (hereinafter referred to as "title weighting coefficient") Wa depending on whether the article keyword is included in the title or the text. Depending on the situation, the keyword score may be increased or decreased. Typically, the article keywords included in the title represent the content of the article more appropriately than the article keywords included in the text, so the title weighting factor Wa for the article keywords in the title is the text. Greater than the title weighting factor Wa for article keywords.

For example, in the article ID "A", the article keyword "Tokyo" is the article keyword of the title (see Fig. 3), so the title is set to the number of appearances "10" of the broadcast keyword "Tokyo" that matches the article keyword "Tokyo". Multiply the weighting coefficient Wa = 2.0 (see FIG. 8), and calculate the keyword score of the article keyword "Tokyo" as "20". In addition, since the article keyword "swimming" is the article keyword in the text (see Fig. 3), the title weight coefficient Wa = 1.0 for the number of appearances "7" of the broadcast keyword "swimming" that matches the article keyword "swimming". (See Fig. 8), and the keyword score of the article keyword "swimming" is calculated as "7".

<< Weighting by TV meta information >>
The score calculation unit 107 may increase or decrease the weighting coefficient (hereinafter referred to as “TV meta weighting coefficient”) Wb with respect to the keyword score by using the weighting definition table 113 shown in FIG. As shown in FIG. 7, the weighting definition table 113 manages the correspondence between the genre ID, the information type ID, and the person attribute ID and the TV meta weighting coefficient Wb.

For example, in the TV meta management table 106 related to the genre ID “sports”, the information type ID of the broadcast keyword “Tokyo” that matches the article keyword “Tokyo” is “13 (address / region)”. Then, in the weighting definition table 113, the TV meta weighting coefficient Wb associated with the information type ID “13 (address / region)” of the genre ID “sports” is “1.8”. Therefore, the score calculation unit 107 multiplies the appearance frequency "10" of the broadcast keyword "Tokyo" that matches the article keyword "Tokyo" by the TV meta weighting coefficient Wb = 1.8 (see FIG. 8), and the article keyword "Tokyo". The keyword score of "Tokyo" is calculated as "18".

<< Combination of weighting >>
The score calculation unit 107 may calculate the keyword score by combining the title weighting coefficient Wa and the TV meta weighting coefficient Wb. For example, the score calculation unit 107 may calculate as “keyword score = number of appearances of broadcast keyword × title weighting coefficient Wa × TV meta weighting coefficient Wb” as shown in FIG.

<< Time decay after publication of the article >>
The score calculation unit 107 increases or decreases the overall score of the article by multiplying the overall score of the article calculated by summing each keyword score by the attenuation coefficient R that decreases according to the elapsed time since the article was published. You may.

For example, as shown in FIG. 8, when the attenuation coefficient R of the article ID “A” is “0.4”, the overall score of the article ID “A” is the total of the keyword scores × the attenuation coefficient R = 43 × 0. .4 = 17.2. When the attenuation coefficient R of the article ID "B" is "0.9", the overall score of the article ID "B" is the total of the keyword scores × the attenuation coefficient R = 45 × 0.9 = 40.5. Become. As a result, the overall score of articles that have been published for a relatively long time becomes smaller, so the overall score of articles that are new and highly topical at the present time is relatively high.

<Overall processing flow>
Hereinafter, with reference to FIG. 9, the entire processing flow in the display order presenting apparatus 10 when all the weighting coefficients and the attenuation coefficients are taken into consideration will be described. The display order presenting device 10 executes the following processing for a newly published article and an article already published.

First, the TV meta acquisition unit 105 acquires TV meta information (ST101). Specifically, the TV meta acquisition unit 105 acquires a search query corresponding to the genre ID of the article to be scored (referred to as "target article" in the description of this flow) from the TV meta search query management table 112. Then, the TV meta acquisition unit 105 sends the acquired search query to the TV meta providing server 202, and acquires the TV meta information from the TV meta providing server 202. This TV meta information includes a broadcast keyword broadcast during the period specified by the "period" of the search query and the number of appearances thereof.

Next, the score calculation unit 107 calculates the keyword score of each article keyword associated with the target article in the article keyword management table 104 (ST102). Specifically, the score calculation unit 107 calculates the keyword score by multiplying the number of appearances of the broadcast keyword matching the article keyword by the title weighting coefficient Wa and the TV meta weighting coefficient Wb, and registers the keyword score in the article score management table 108. ..

Next, the score calculation unit 107 totals each keyword score calculated in ST 102 to calculate the total keyword score of the target article (ST103).

Next, the score calculation unit 107 multiplies the total keyword score of the target article calculated by ST103 by the attenuation coefficient R to calculate the total score of the target article (ST104).

After performing the above-mentioned processing of ST102 to ST104 for each article, the display order determination unit 109 determines the display order of the articles in descending order of the overall score (ST105). In the example of FIG. 8, the overall scores of the article IDs “A”, “B”, and “C” are “17.2”, “40.5”, and “16.0”, respectively, so that the display order is determined. The unit 109 determines the display order of the articles in the order of "B", "A", and "C". The user terminal displays the articles side by side in the determined order.

<Modification example of display order determination unit>
In the above, the article order determination unit 109 sets the display order of the articles in the order of the highest overall score, but the article order determination unit 109 may group similar articles and determine the display order of the similar article groups. good. The details will be described below.

First, the display order determination unit 109 groups similar articles to generate a similar article group. The display order determination unit 109 calculates the similarity of articles by, for example, any of the following (A1) to (A3).

(A1) It is determined that the closer the Levenshtein distance between two articles is, the higher the similarity between the two articles is.
(A2) It is determined that the greater the number of matching morphemes between the two articles, the higher the similarity between the two articles.
(A3) A feature vector is calculated for each article based on the morpheme, and it is determined that the larger the cosine value between the two feature vectors, the higher the similarity between the two articles.

Next, when the similarity between the two articles is equal to or higher than a predetermined threshold value, the display order determination unit 109 includes the two articles in the same similar article group. By repeating this, a similar article group is generated.

Next, the display order determination unit 109 totals the overall scores of the articles belonging to the similar article group, and calculates the score of the similar article group. Then, the display order determination unit 109 determines the display order of the similar article groups in descending order of the score of the similar article group.

In this case, as shown in FIG. 10, the user terminal displays the similar article groups side by side in descending order of the score of the similar article group. At this time, the user terminal may display the article having the highest overall score in the similar article group as the representative article of the similar article group.

According to the above variant, the larger the number of similar articles, the higher the score of the similar article group. Therefore, in addition to the high topicality in the broadcast content, the display order of the articles can be determined in consideration of the high topicality on the Internet.

<Effect of this embodiment>
As described above, in the present embodiment, the display order presenting device 10 calculates the keyword score of each article keyword included in each article according to the number of appearances of the broadcast keyword included in the TV meta information, and the calculation thereof. The overall score of each article is calculated according to the total of the keyword scores, and the display order of the articles is determined according to the height of the calculated overall score of each article. As a result, the display order presenting device 10 can cause the user terminal to display articles with high topicality at a higher level from time to time. Therefore, the user can easily browse articles with high topicality from time to time on the user terminal.

(Hardware configuration)
The block diagram used in the description of the above embodiment shows a block of functional units. These functional blocks (components) are realized by any combination of hardware and / or software. Further, the means for realizing each functional block is not particularly limited. That is, each functional block may be realized by one physically and / or logically coupled device, or directly and / or indirectly by two or more physically and / or logically separated devices. (For example, wired and / or wireless) may be connected and realized by these plurality of devices.

For example, the radio base station, the user terminal, and the like in one embodiment of the present invention may function as a computer that processes the wireless communication method of the present invention. FIG. 11 is a diagram showing an example of a hardware configuration of a user terminal (UE) according to an embodiment of the present invention. The display order presenting device 10 may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

In the following description, the word "device" can be read as a circuit, a device, a unit, or the like. The hardware configuration of the display order presenting device 10 may be configured to include one or more of the devices shown in the figure, or may be configured not to include some of the devices.

For each function of the display order presenting device 10, the processor 1001 performs an operation by loading predetermined software (program) on hardware such as the processor 1001 and the memory 1002, and the communication device 1004 communicates with the memory 1002 and the memory 1002. It is realized by controlling the reading and / or writing of data in the storage 1003.

Processor 1001 operates, for example, an operating system to control the entire computer. The processor 1001 may be composed of a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, and the like. For example, the above-mentioned article collection unit 101, article keyword extraction 103, TV meta acquisition unit 105, score calculation unit 107, display order determination unit 109, and the like may be realized by the processor 1001.

Further, the processor 1001 reads a program (program code), a software module and data from the storage 1003 and / or the communication device 1004 into the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above-described embodiment is used. For example, each function of the display order presenting device 10 may be realized by a control program stored in the memory 1002 and operated by the processor 1001. Although it has been described that the various processes described above are executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. Processor 1001 may be mounted on one or more chips. The program may be transmitted from the network via a telecommunication line.

The memory 1002 is a computer-readable recording medium, and is composed of at least one such as a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), and a RAM (Random Access Memory). May be done. The memory 1002 may be referred to as a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, and the like that can be executed to implement the wireless communication method according to the embodiment of the present invention.

The storage 1003 is a computer-readable recording medium, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, an optical magnetic disk (for example, a compact disk, a digital versatile disk, a Blu-ray). It may consist of at least one (registered trademark) disk), smart card, flash memory (eg, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium described above may be, for example, a database, server or other suitable medium containing memory 1002 and / or storage 1003. For example, the article holding unit 102, the article keyword management table 104, the TV meta management table 106, the article score management table 108, and the like may be configured by the memory 1002 and / or the storage 1003.

The communication device 1004 is hardware (transmission / reception device) for communicating between computers via a wired and / or wireless network, and is also referred to as, for example, a network device, a network controller, a network card, a communication module, or the like. For example, the above-mentioned article collecting unit 101 and the like may be realized by the communication device 1004.

The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives an input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

Further, each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be composed of a single bus or may be composed of different buses between the devices.

Further, the display order presenting device 10 includes hardware such as a microprocessor, a digital signal processor (DSP: Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). It may be configured to include, and a part or all of each functional block may be realized by the hardware. For example, the processor 1001 may be implemented on at least one of these hardware.
May be sent to.

(Judgment method)
The determination may be made by a value represented by one bit (0 or 1), by a true / false value (Boolean: true or false), or by comparing numerical values (for example, a predetermined value). It may be done by comparison with the value).

(Variations of aspects, etc.)
Each aspect / embodiment described in the present specification may be used alone, in combination, or may be switched and used according to the execution. Further, the notification of predetermined information (for example, the notification of "being X") is not limited to the explicit one, but is performed implicitly (for example, the notification of the predetermined information is not performed). May be good.

Although the present invention has been described in detail above, it is clear to those skilled in the art that the present invention is not limited to the embodiments described in the present specification. The present invention can be implemented as modifications and modifications without departing from the spirit and scope of the present invention as determined by the description of the scope of claims. Therefore, the description of the present specification is for the purpose of exemplary explanation and does not have any limiting meaning to the present invention.

(Meaning and interpretation of terms)

(software)
Software, whether called software, firmware, middleware, microcode, hardware description language, or other names, is an instruction, instruction set, code, code segment, program code, program, subprogram, software module. , Applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, features, etc. should be broadly interpreted.

Further, software, instructions, and the like may be transmitted and received via a transmission medium. For example, the software may use wired technology such as coaxial cable, fiber optic cable, twisted pair and digital subscriber line (DSL) and / or wireless technology such as infrared, wireless and microwave to website, server, or other. When transmitted from a remote source, these wired and / or wireless technologies are included within the definition of transmission medium.

(Information, signal)
The information, signals, etc. described herein may be represented using any of a variety of different techniques. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description are voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these. It may be represented by a combination of.

The terms described herein and / or the terms necessary for understanding the present specification may be replaced with terms having the same or similar meanings. For example, the channel and / or symbol may be a signal. Also, the signal may be a message. Further, the component carrier (CC) may be referred to as a carrier frequency, a cell, or the like.

("System", "Network")
The terms "system" and "network" used herein are used interchangeably.

(Parameter name)
Further, the information, parameters, etc. described in the present specification may be represented by an absolute value, a relative value from a predetermined value, or another corresponding information. ..

The names used for the parameters mentioned above are not limited in any way. Further, mathematical formulas and the like using these parameters may differ from those expressly disclosed herein.

("Connected", "Joined")
The terms "connected", "coupled", or any variation thereof, mean any direct or indirect connection or connection between two or more elements and each other. It can include the presence of one or more intermediate elements between two "connected" or "combined" elements. The connection or connection between the elements may be physical, logical, or a combination thereof. As used herein, the two elements are by using one or more wires, cables and / or printed electrical connections, and, as some non-limiting and non-comprehensive examples, radio frequencies. By using electromagnetic energies such as electromagnetic energies with wavelengths in the region, microwave region and light (both visible and invisible) regions, they can be considered to be "connected" or "coupled" to each other.

(Meaning "based on")
The phrase "based on" as used herein does not mean "based on" unless otherwise stated. In other words, the statement "based on" means both "based only" and "at least based on".

("First", "Second")
Any reference to elements using designations such as "first", "second", etc. as used herein does not generally limit the quantity or order of those elements. These designations can be used herein as a convenient way to distinguish between two or more elements. Thus, references to the first and second elements do not mean that only two elements can be adopted there, or that the first element must somehow precede the second element.

("means")
The "means" in the configuration of each of the above devices may be replaced with a "part", a "circuit", a "device" and the like.

(Open format)
As long as "including", "comprising", and variations thereof are used herein or within the scope of the claims, these terms are as comprehensive as the term "comprising". Intended to be targeted. Moreover, the term "or" as used herein or in the claims is intended to be non-exclusive.

(article)
Throughout this disclosure, if articles are added by translation, for example, a, an, and the in English, these articles are not explicitly indicated by the context to be otherwise. It shall include more than one.

10 Display order presentation device 101 Article collection unit 102 Article retention unit 103 Article keyword extraction unit 104 Article keyword management table 105 TV meta acquisition unit 106 TV meta management table 107 Score calculation unit 108 Article score management table 109 Display order determination unit 111 Recommendation dictionary 112 TV meta search query management table 113 Weighted definition table 201 Article providing server 202 TV meta providing server

Claims (7)

Article keyword extraction unit that extracts article keywords from each article,
A TV meta acquisition unit that acquires the broadcast keyword broadcast in the broadcast content and the number of appearances of the broadcast keyword,
With a score calculation unit that calculates the keyword score of each article keyword according to the number of appearances of the broadcast keyword that matches each article keyword, and calculates the overall score of the article according to the total of the keyword scores of each article keyword. ,
A display order determination unit that determines the display order of the articles according to the level of the overall score of each article.
Display order presenting device. The article contains the title and body
The score calculation unit increases or decreases the keyword score of the article keyword according to whether the article keyword is included in the title or the text of the article.
The display order presenting device according to claim 1. The score calculation unit increases or decreases the keyword score of each article keyword by using a weighting coefficient previously associated with the attribute information of the broadcast keyword matching the article keyword.
The display order presenting device according to claim 1 or 2. The score calculation unit increases or decreases the overall score of each article according to the elapsed time since each article was published.
The display order presenting device according to any one of claims 1 to 3. The TV meta acquisition unit acquires the broadcast keyword and the number of appearances of the broadcast keyword from the TV meta providing server by using a search query defined in advance according to the genre of each article.
The display order presenting device according to any one of claims 1 to 4. The display order determination unit is
Calculate the score of the similar article group by summing the overall scores of each similar article,
The display order of each similar article group is determined according to the score of each similar article group.
The display order determining device according to any one of claims 1 to 5. The display order presentation device
Get article keywords from each article and
Obtain the broadcast keyword broadcast in the broadcast content and the number of appearances of the broadcast keyword,
The keyword score of each article keyword is calculated according to the number of appearances of the broadcast keyword matching each article keyword.
The overall score of the article is calculated according to the total of the keyword scores of each article keyword.
The display order of the articles is determined according to the level of the overall score of each article.
Display order determination method.

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