JP6052385B2 - Information processing method, display method, information processing apparatus, display apparatus, information processing program, display program - Google Patents

Description

The present invention relates to an information processing method, an information processing apparatus, an information processing program, and a display for displaying information processed by the information processing apparatus. The present invention relates to a device, a display method in the display device, and a display program in the display device.

In recent years, with the advancement of digital technology and network technology, digital contents and articles are distributed and sold using a network. Opportunities to collect information through search sites are also increasing. Along with this, there is an increasing need for a technology that selects and provides information on content that is likely to be of interest to the user from among a large number of content and information that matches the purpose.

And the technique which replaces the search result with respect to a certain search condition for every fixed period is also proposed. For example, in Patent Document 1, a score is calculated for each site that hits a certain search condition, rearranged according to the calculated score, and at a predetermined timing, for each predetermined shuffle target range. A technique is disclosed in which the order of displaying each site is determined by shuffling the site within the shuffle target range while ignoring the score.

JP2010-134485A

As in the above-described prior art, the order of the sites that hit a certain search condition is periodically changed every certain period, so that even if the user searches the same search condition many times on the same search site, it is different. Search results will be displayed, so if you ca n’t find the site you want,
Instead of searching on a different search site, you can expect to search again with the same search criteria.

However, in the above-mentioned Patent Document 1, for each predetermined shuffle target range, the score is ignored and the sites in the shuffle target range are shuffled. Therefore, when the number of shuffle target ranges is small, the shuffle target range Since the shuffle is performed with a small number of cases, the change in the search result becomes poor. In addition, when a large number of cases are used as the shuffle target range, the sites with low relevance to the search conditions such as low scores may occupy the top in order to ignore the scores of the sites within the shuffle target range. In some cases, the user cannot find the relationship between the search condition and the search result, impairs reliability, and cannot be used. For example, if the user browses about 10 search results, if the shuffle target range is 100, the top 10 search results may occupy only lower sites that are less relevant to the search conditions. obtain.

Therefore, the present invention maintains the user's interest by presenting a variety of display results without impairing the user's reliability in determining the display order of the set of contents satisfying a specific condition. The purpose is to promote the use of services.

An information processing method for extracting content information on the basis of a narrowing condition for extracting one or a plurality of content information from a plurality of content information, wherein a fitness level calculation unit calculates a relationship between the narrowing condition and the content information. A degree-of-fit calculation step for calculating the degree of fit, which is a value indicating the degree of fit, and extracting content information that is content information that meets the narrowing-down conditions, and a random number acquisition unit for acquiring a random number sequence calculating a step, the display order determination unit, the matching content information ranking in descending order of the goodness of fit, using said random number sequence as the value indicating the order, the put that Priority to each of the matching content information And a display order determination step for determining the display order of each of the relevant content information based on the calculated priority. To provide a management method.

According to the information processing method, the display method, the information processing apparatus, the display apparatus, the information processing program, and the display program of the present invention, a set of contents always rich in change without deteriorating reliability for any user. By presenting, the user's interest in the service can be maintained, and the use of the service can be promoted.

It is a figure which shows the structure of the whole system in the 1st Embodiment of this invention. It is a block diagram which shows the structure of the information processing server apparatus in the 1st Embodiment of this invention. It is a figure which shows the structure of the whole system in the 1st Embodiment of this invention. It is a figure which shows the storage state of the content information storage part 131 in the 1st Embodiment of this invention. It is a figure which shows the storage state of the random number list storage part 132 in the 1st Embodiment of this invention. It is a figure which shows the storage state of the suitable content information storage part 133 in the 1st Embodiment of this invention. It is a figure which shows the storage state of the browsing frequency information in the random number list storage part 132 in the 1st Embodiment of this invention. It is a flowchart which shows the procedure of the display order determination process in the 1st Embodiment of this invention. It is a figure which shows the selection procedure of the suitable content information acquired when the narrowing-down conditions are search conditions comprised by a some keyword in the display order determination process in the 1st Embodiment of this invention. It is a flowchart which shows a series of procedures which the terminal device 3 in the 1st Embodiment of this invention transmits narrowing conditions to the information processing server apparatus 1, receives and displays the content information corresponding to narrowing conditions.

Hereinafter, an information processing method, a display method, an information processing device, a display device, an information processing program, and a display program according to the present invention will be described with reference to the accompanying drawings. The content in the present invention may be digital content such as text, voice, music, video, web page, and various articles, and may be information on financial products, real estate, people, and the like. That is, the content in the present invention may be paid or free regardless of whether it is tangible or intangible.

<First Embodiment>
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a configuration diagram of the entire system according to the first embodiment of the present invention. In the system according to the present embodiment, the information processing server device 1 and one or more terminal devices 3 (3a to 3n) are connected via a network 2.
In each embodiment, only the information processing server device 1 may function as an information processing device, or the information processing server device 1 and the terminal device 3 may cooperate to function as an information processing device. Further, only the terminal device 3 may function as an information processing device. If the display order determination unit 113 which is a main part of the information processing apparatus of the present invention is included, the information processing apparatus can function.
In each embodiment, only the terminal device 3 may function as a display device, or the information processing server device 1 and the terminal device 3 may function as a display device in cooperation. Further, only the information processing server device 1 may function as a display device. If there is a means for displaying information processed by the information processing apparatus of the present invention on a display unit such as a display, the information processing apparatus can function as a display device.
In this embodiment, the information processing server device 1 functions as an information processing device, and the terminal device 3 functions as a display device.

The network 2 is a network such as the Internet, for example, and mediates exchange of information between the information processing server device 1 and the terminal device 3.
Next, the terminal device 3 will be described. The terminal device 3 is a general computer including a CPU, RAM, ROM, hard disk drive, network interface, and the like.
A predetermined operation is performed by a built-in program. In addition, the terminal device 3 shall have the terminal communication part 31 which transmits / receives information between information processing server apparatuses, and the display part 32 which displays information. That is, it is assumed that the terminal device 3 also functions as a display device. Terminal device 3
May be a personal digital assistant (PDA), a portable terminal device such as a smartphone or a mobile phone.

When the terminal device 3 transmits the narrowing condition to the information processing server device 1, the terminal device 3 receives information related to the content corresponding to the transmitted narrowing condition.
The narrowing-down condition is a condition for narrowing down (extracting) the content to be presented to the user from a plurality of contents stored in the content information storage unit 131, and its form is determined by the service performed in the information processing server device 1. Are various.

The information processing server device 1 is, for example, a content sales site such as music, and recommends content that is presumed to meet the user's preference from the content that the user has used in the past to the user who uses the site. When a service is provided, the narrowing-down condition is a user entity identifier for specifying a user who uses the service or a user entity identifier for specifying a terminal device being used by the user. At this time, when the terminal device 3 transmits a use subject identifier which is a narrowing condition to the information processing server device 1, the information processing server device 1
Thus, information on the recommended content of the user corresponding to the transmitted use subject identifier is received. Information regarding the received recommended content is displayed on the display unit 32 of the terminal device 3. Information about the received recommended content is, for example, as shown in the display example in FIG.
The user name of the user (user who uses the terminal device 3) may be displayed on the upper row, and information on recommended content corresponding to the user may be displayed on the lower row. In addition, presentation of information regarding such recommended content can be performed not only on the music content but also on other content.

Further, when the information processing server device 1 is, for example, a content sales site such as a book, and a user selects information related to a certain content, the information processing server device 1 performs a service for presenting related content for the selected content. The narrow-down condition is a content identifier for identifying the selected content. At this time, when the terminal device 3 transmits a content identifier that is a narrowing condition to the information processing server device 1, the information processing server device 1
Thus, information related to the related content of the content corresponding to the transmitted content identifier is received. Information related to the received related content is displayed on the display unit 32 of the terminal device 3. Information related to the received related content is, for example, as shown in the display example of FIG. 2B, a list of content is displayed on the left, and details of the selected content are displayed in the center.
What is necessary is just to display the information regarding the related content of the content selected on the right. In addition, presentation of information regarding such related content is not limited to book content, and can be performed for other content.

Further, when the information processing server device 1 is, for example, a search site and provides a service that presents content that matches a certain search condition, the narrowing-down condition becomes the search condition. At this time, when the terminal device 3 transmits a search condition that is a narrowing condition to the information processing server device 1, the information about the content that matches the transmitted search condition is received from the information processing server device 1. Information about the content that matches the search condition is stored in the terminal device 3
Is displayed on the display unit 32. Information about content that matches the search criteria is, for example,
As shown in the display example of FIG. 2C, a text box for inputting a search condition and a “search” button as a trigger for transmitting the search condition are displayed on the upper line, and information on contents matching the search condition is displayed on the lower line. Show it. In addition, presentation of information regarding content that matches such a search condition can be performed on various types of content.

In any service, the received content information is sorted in the order of display order determined by the information processing server device 1. Further, only a predetermined number from the top of the display order may be displayed without displaying all received content information. Further, the received content information may not be displayed all at once, but may be displayed for each predetermined number in the order of display order.
In addition, by giving the received content information the matching order given in the descending order of the matching degree indicating the degree of matching between the narrowing condition and the content, the user who is using the terminal device 3 is displayed together with the content information. By browsing the matching order, it can be understood that the content information corresponding to the narrow-down condition is displayed at random.

Next, the information processing server device 1 will be described. As described above, the information processing server device 1 is a device that transmits content information corresponding to the narrowing-down conditions received from the terminal device 3. The information processing server device 1 includes a CPU, a RAM, a ROM, a hard disk drive (HD
D) It can also be implemented as software (program) processing using a computer having a network interface or the like. In addition, you may comprise the information processing server apparatus 1 using a some computer. For example, in order to distribute the load, the distributed processing may be performed using a plurality of computers that perform processing corresponding to each unit of the information processing server device 1.
Alternatively, the distributed processing may be performed in such a manner that a part of the processing of the information processing server device 1 is performed by a computer and the other processing is performed by another computer.
FIG. 3 is a configuration diagram of the information processing server apparatus 1 in the present embodiment. The information processing server device 1 in this embodiment includes an information processing server control unit 11, an information processing server communication unit 12, and an information processing server storage unit 13.

The information processing server communication unit 12 is a unit for communicating with the terminal device 3 via the network 2.

The information processing server storage unit 13 stores various data using a storage device such as a memory or an HDD. The information processing server storage unit 13 includes a content information storage unit 131, a random number list storage unit 132, and a compatible content information storage unit 133.
The content information storage unit 131 stores a plurality of content information. The content information is obtained by associating a content identifier with content attribute information that is information related to the content, and a storage format that is more suitable for the type of content may be used.
For example, if the content is a book or the like, the content information storage unit 131 stores the content name (nam) in the content identifier (content_id) as shown in FIG.
e) Content attribute information such as an author name (author) and a genre name (genre) may be stored in association with each other.

If the content is a web page, the content information storage unit 131 stores the web page name (content_id) in the content identifier (content_id), for example, as shown in FIG.
The content attribute information such as “name”, “address” (url), and “description” (exp) may be stored in association with each other.
Note that the content attribute information described above is merely an example, and the present invention is not limited to this, and various information related to the content can be used.
Next, the random number list storage unit 132 will be described. The random number list storage unit 132 stores a plurality of random number lists and random number usage information. FIG. 5 is a diagram illustrating a storage state of the random number list storage unit 132.

The random number list is obtained by associating a random number identifier (rand_id) for identifying the random number list with a random number sequence (rand_list) which is a random number sequence.
Store in the table format as in a). The number of elements in the random number sequence is at least as many as the number of content information corresponding to the narrowing-down conditions. The content information corresponding to the narrowing condition is stored as the matching content information in the matching content information storage unit 133 to be described later. When the content information is stored in the matching content information storage unit 133, the matching content information corresponding to one filtering condition is stored. Depending on whether or not the maximum storage number is set, the method for obtaining the required number of elements of the random number sequence differs. When the maximum stored number of conforming content information corresponding to one narrowing condition is set, the number of elements of the random number sequence needs to be greater than the maximum stored number. In addition, when the maximum number of pieces of compatible content information corresponding to one narrowing condition is not set, the number of pieces of compatible content information corresponding to one narrowing condition is the content stored in the content information storage unit 131 at the maximum. Since it becomes equal to the number of information, the number of elements of the random number sequence needs to be equal to or more than the number of content information stored in the content information storage unit 131.

Note that the random number sequence may be a pseudo-random number generated by a computer, or a random number generated with a dice or the like.
The random number acquisition information is information for identifying the last random number list acquired by the random number acquisition unit 112, and stores the random number identifier (rand_id) of the last acquired random number list in a table format as shown in FIG. 5B. .

Next, the compatible content information storage unit 133 will be described. Applicable content information storage unit 1
33 stores a plurality of pieces of compatible content information. FIG. 6 is a diagram illustrating a storage state of the compatible content information.
The conforming content information is obtained by associating the narrowing condition (key), the content identifier (content_id) of the content corresponding to the narrowing condition, and the conformity (score) obtained by quantifying the degree of matching of the content with the narrowing condition. Yes, it is stored in the table format as shown in FIG. The narrowing-down conditions vary depending on the service type. For example, in the case of a service that recommends content to a user, a key identifier is stored in the key. In the case of a service that presents related content for a certain content, the content identifier is stored in the key. If the service presents content that matches the search condition, the key includes the search condition that is a narrowing condition, or
One keyword included in the search condition which is a narrowing condition is stored.

Next, the information processing server control unit 11 will be described. The information processing server control unit 11 performs overall control and various types of arithmetic processing on each unit constituting the information processing server device 1. The information processing server control unit 11 includes a fitness level calculation unit 111, a random number acquisition unit 112, and a display order determination unit 113.
The matching level calculation unit 111 performs matching content selection processing.
The compatible content selection process may be performed every time a narrowing condition is received from the terminal device 3.
Alternatively, a narrowing condition may be extracted at each predetermined timing predetermined on the service providing side, and a suitable content selection process may be performed for each extracted narrowing condition.

As a predetermined timing, a narrowing-down condition may be extracted every predetermined time interval (for example, every 24 hours), and an appropriate content selection process may be performed for each extracted narrowing-down condition, or every time a usage history is received a certain number of times. Also good. Also, every 3 hours from Monday to Friday,
The time interval may vary, such as every 6 hours on Saturday and every 12 hours on Sunday.
Also, the time interval may be changed according to the season, such as shortening the time interval in summer and increasing the time interval in winter.

The method for extracting the narrowing conditions differs depending on the service form.
For example, in the case of a service including presentation of recommended content to a user, a user information storage unit (not shown) that manages information of a user who uses the service is prepared in the information processing server storage unit 13 and used to specify a user in advance. The subject identifier and the user attribute information are stored in association with each other, and when performing the matching content selection process, the user subject identifier that is a narrowing condition may be extracted from a user information storage unit (not shown).

If the service includes presentation of related content for a certain content, a content identifier that is a narrowing condition may be extracted from the content information storage unit 131.
In addition, if the service includes presentation of content that matches the search condition, when storing the content information in the content information storage unit 131, morphological analysis, which is a well-known technique, is performed on the text information of the web page that is the content. One or more keywords are extracted by performing the above, and the extracted one or more keywords are stored in the content attribute information and stored, and the content information storage unit 131 performs the matching content selection process. A keyword that is a narrowing condition may be extracted.
As described above, the narrowing conditions may be appropriately extracted according to the service form.

Next, the conforming content selection process by the conformity calculation unit 111 will be described. The conforming content selection process calculates the matching degree between the narrowing condition and the content, selects the conforming content based on the calculated conforming degree, and stores the narrowing condition and the content identifier of the selected conforming content in the conforming content information storage unit 133. This is a process of storing conforming content information in association with the calculated conformity. Various methods can be used as the method of calculating the fitness according to the form of service.
Note that the fitness may be calculated only for content that has some relationship with the narrowing-down conditions without calculating the fitness for all content.

Further, all the compatible content information may be stored when the compatible content information is stored in the compatible content information storage unit 113. Further, only conforming content information whose conformity is greater than a predetermined value predetermined by the service providing side may be stored. In addition, a predetermined number predetermined by the service provider may be stored in descending order of fitness.
In addition, when the newly created compatible content information is stored in the compatible content information storage unit 113, if the previously created compatible content information corresponding to the filtering condition already exists, the previously created compatible content information It is only necessary to store the newly created compatible content information after deleting the information.

Here, the compatible content selection processing in the three service forms will be described.
First, an example of compatible content selection processing in a service including presentation of recommended content to a user will be described.

First, after making it possible to store a usage history indicating the usage status of a user's content, the fitness calculation unit 111 selects a similar user of one user corresponding to the narrowing-down condition based on the usage history. In order to select similar users, for example, there is a method of calculating similarity using a Jaccard coefficient and selecting similar users using the calculated similarity. Specifically, a content set C (ub) used by one user ub and a content set C (us) used by another user us, and contents existing in both C (ub) and C (us) | C (ub) ∩C (us) |, and the number of contents existing in at least one of C (ub) and C (us) is | C (ub) ∪C (us) | 1) using the similarity s
im (ub, us) is calculated.

Then, a predetermined number of users or users whose calculated similarity is higher than a predetermined value are selected as similar users in descending order of the calculated similarity. Furthermore, if the degree of preference indicating the degree of preference for the user's item is calculated, the cosine distance, the Pearson product-moment correlation coefficient, and the like can be used for similarity calculation.

Next, the fitness calculation unit 111 extracts content used by the selected similar users as recommended candidate content. At this time, content used by one user may be excluded.
Next, the fitness level calculation unit 111 calculates the fitness level with one user for each extracted recommended candidate content item. In order to calculate the degree of matching, for example, the degree of similarity between one user and a similar user can be used. Specifically, the recommended candidate content is cr, the similar user of one user ub using the recommended candidate content cr is Us (ub, cr), the similar user us ′ using the one user ub and the recommended candidate content cr The similarity to (εUs (ub, cr)) is assumed to be sim (ub, us ′), and the fitness v (ub, cr) is calculated using equation (2).

Next, the fitness level calculation unit 111 selects recommended content from the recommended candidate content. In order to select recommended content, for example, all recommended candidate content may be selected as recommended content. Moreover, you may select the recommendation candidate content whose fitness is more than predetermined value as a recommendation content. Also, up to a predetermined number of recommended candidate contents may be selected as recommended contents in descending order of fitness.

Then, for each selected recommended content, the fitness level calculation unit 111 associates the user identifier of one user, which is a filtering condition, the content identifier of the recommended content, and the fitness level, and stores them in the fitness content information storage unit 113.
Of course, a method other than the above method may be used to select the recommended candidate content of one user, calculate the fitness for the selected recommended candidate content, and select the recommended content.
Next, an example of compatible content selection processing in a service including presentation of related content for a certain content will be described.

First, after making it possible to store a usage history indicating the usage status of a user's content, the fitness level calculation unit 111 selects a related candidate content of one content corresponding to the filtering condition based on the usage history. . In order to select the related candidate content, for example, there is a method of forming a user set using one content and selecting the content used by any user belonging to the user set as the related candidate content. At this time, one content may be excluded from the related candidate content.

Next, the matching level calculation unit 111 calculates the matching level with one content for each related candidate content. In order to calculate the fitness, for example, a Jaccard coefficient can be used. Specifically, a user set using one content cb is U (cb), and a user set U (cs) using related candidate content cs is present in both U (cb) and U (cs). The number of users is | U (cb) ∩U (cs) |, the number of users existing in at least one of U (cb) and U (cs) is | U (cb) ∪U (cs) | The fitness v (cb, cs) is calculated using (3).

In addition, if it is set as the structure which calculates about the preference degree which shows the user's preference degree with respect to an item, a cosine distance, a Pearson product-moment correlation coefficient, etc. can be used for a fitness calculation.

Next, the fitness level calculation unit 111 selects related content from the related candidate content. In order to select related content, for example, all the related candidate content may be selected as related content. Moreover, you may select the related candidate content whose fitness is more than predetermined value as a related content. Further, up to a predetermined number of related candidate contents may be selected as related contents in descending order of fitness.
Then, the matching level calculation unit 111 associates the content identifier of one content, which is a narrowing condition, the content identifier of the related content, and the matching level, and stores them in the matching content information storage unit 113.
Of course, a related candidate content of one content may be selected by using a method other than the above method, the degree of fitness may be calculated for the selected related candidate content, and the related content may be selected.
Next, an example of compatible content selection processing in a service including presentation of content that matches a search condition will be described.

First, the fitness level calculation unit 111 refers to the content information storage unit 131 and selects it as a search target content according to a search condition that is a narrowing condition. For example, when all the keywords included in the search condition are connected by the AND condition, the content having the content attribute information including all the keywords is selected as the search target content. If all the keywords included in the search condition are connected by the OR condition, content having content attribute information including any of the keywords included in the search condition is selected as the search target content.

Next, the fitness level calculation unit 111 calculates the fitness level with the narrow-down condition for each search target content. In order to calculate the fitness, for example, there is a method of calculating using tf-idf which is a known technique. Specifically, the sum of the appearance frequencies of all the words included in the text information of the web page p that is the search target content is n (p), and an arbitrary keyword w (∈W) of the keyword set W included in the narrowing-down condition. ) Is expressed as n (p, w
) And the number of content information sets D stored in the content information storage unit 131 |
D | and the number of content information sets D including the keyword w | D (w) |
Then, the fitness v (W, p) is calculated using equation (4).

Next, the fitness calculation unit 111 selects search result content from the search target content. In order to select search result contents, for example, all search target contents may be selected as search result contents. In addition, search target content having a matching level equal to or higher than a predetermined value may be selected as search result content. Alternatively, up to a predetermined number of search target contents may be selected as search result contents in descending order of fitness.

Then, the fitness level calculation unit 111 associates the search condition that is the narrowing-down condition with the content identifier of the selected search result content and the fitness level, and stores them in the fitness content information storage unit 113.
Of course, it is also possible to use a method other than the above method to select the search target content of the search condition that is a narrowing condition, calculate the fitness for the selected search target content, and select the search result content.
As described above, suitable content selection processing may be performed appropriately in accordance with the form of service.

When the random number acquisition unit 112 receives a random number list acquisition request from the display order determination unit 113, the random number acquisition unit 112 acquires a random number list from the random number list storage unit 132 that is different from the previous acquisition time. In particular,
A random number list corresponding to a random number identifier different from the random number identifier stored in the random number acquisition information is acquired. To obtain a random number list different from the random number identifier stored in the random number acquisition information, for example, the random number list stored next to the random number list corresponding to the random number identifier stored in the random number acquisition information may be acquired. . Of course, the random number list may be selected in any way other than the random number list corresponding to the random number identifier stored in the random number acquisition information. At this time, the random number acquisition information is updated to the acquired random number identifier. Note that, as an example, the random number acquisition unit 112 acquires a new random number sequence every time a narrowing condition is received from the terminal device 3. In such a case, the random number acquisition unit 112 acquires a different random number sequence every time the display order determination unit 113 calculates a priority to be described later.
Further, instead of acquiring the random number list from the random number list storage unit 132, a pseudo random number generated by a computer may be acquired.

It is also possible to acquire a random number list that changes every time content corresponding to the user's narrowing conditions is viewed (displayed) a predetermined number of times. At this time, instead of managing the random number list acquired last using the random number acquisition information in the random number list storage unit 132, the random number list may be managed for each user and each filtering condition using the browsing count information. FIG. 7 is a diagram illustrating a storage state of the browsing count information in the random number list storage unit 132. The browsing count information is obtained by associating a use subject identifier (user_id), a filtering condition (key), a browsing count (cnt) that is the number of times the user has browsed content information corresponding to the filtering condition, and a random number identifier (rand_id). And stored in a table format as shown in FIG.

A procedure for acquiring a random number list that changes each time content corresponding to a user's narrowing condition is browsed (displayed) a predetermined number of times will be described.
First, the random number acquisition unit 112 acquires the use subject identifier and the narrowing-down condition from the display order determination unit 113.
Next, the random number acquisition unit 112 specifies browsing number information corresponding to the acquired use subject identifier and the filtering condition while referring to the random number list storage unit 132, and adds 1 to the browsing number of the specified browsing number information. Update.

And the random number acquisition part 112 is a random number identifier memorize | stored in the number-of-views information corresponding to the acquired use subject identifier and narrowing-down conditions, when the number of times of browsing after the update of the specified number-of-views information is a predetermined number of times A random number list corresponding to a different random number identifier is acquired, and in other cases, a random number identifier of browsing count information corresponding to the acquired use subject identifier and the filtering condition is acquired from the random number list storage unit 132. In order to obtain a random number list different from the random number identifier stored in the browsing number information, for example, a random number list stored next to the random number list corresponding to the random number identifier stored in the browsing number information may be acquired. . Of course, the random number list may be selected in any way other than the random number list corresponding to the random number identifier stored in the browsing count information. At this time, if the number of times of browsing after the update is a multiple of the predetermined number, the random number identifier of the acquired random number list is different from the random number identifier of the number of times of browsing corresponding to the use subject identifier and the filtering condition. It is necessary to replace the random number identifier of the browsing count information stored in the storage unit 132 with the random number identifier of the acquired random number list. Note that the number of browsing times may be updated to “0” every predetermined number of times, and different random number lists may be acquired when the number of browsing times is updated to “0”.

Further, in the case of a service in which the narrowing-down condition is the use subject identifier, since the narrowing-down condition is also the use subject identifier, only the narrowing-down condition, the number of browsing times, and the random number identifier need be stored in association with each other. Further, when it is desired to simplify the process, it is only necessary to store the narrowing condition, the number of browsing times, and the random number identifier in association with each other even if the narrowing condition is not the user entity identifier. The predetermined number of times may be set uniformly by the service provider, or may be freely set by the user using the service.
If the predetermined number of times of browsing, which is the timing at which the random number changes, is “1”, it is only necessary to obtain a random number list that changes every time. Use it.

By using the browsing number information, a random number list that changes (different) each time the browsing number increases by a predetermined number can be acquired, thereby giving a display rank in the display rank determining process by the display rank determining unit 113 described later. In this case, since different random numbers are used every fixed number of times for the same narrowing condition, the display order can be changed every fixed number of times.
It is also possible to acquire a random number list that changes at every predetermined timing. In order to acquire a random number list that changes at every predetermined timing, for example, a timer function or the like can be used. Specifically, the information processing server control unit 11 may update the random number identifier that is the random number acquisition information in the random number list storage unit 132 to another random number identifier at every predetermined timing. At this time, the random number acquisition unit 112 only needs to acquire the random number list corresponding to the random number identifier that is the random number acquisition information in the random number list storage unit 132 and not update the random number acquisition information.

As the predetermined timing, a random number list that changes every predetermined time interval (for example, every 10 minutes) may be acquired.
Also, the time interval may vary during the day, such as every 60 minutes in the morning, every 30 minutes in the day, every 20 minutes in the evening, every 40 minutes in the evening, and every 90 minutes in the midnight.
Also, Monday through Friday every 60 minutes, Saturday every 30 minutes, Sunday every 20 minutes,
Thus, the time interval may vary depending on the day of the week.
Also, the time interval may be changed according to the season, such as shortening the time interval in summer and increasing the time interval in winter.
Further, the time interval for changing the random number list may be random.
Further, in the pseudo-random number generation method used by the computer to generate pseudo-random numbers, if the same pseudo-random number sequence is generated by designating the same seed, the number of browsing changes every time the predetermined number increases (different). ) Whether a random number list is acquired or a random number list that changes at each predetermined timing is acquired, a pseudo-random number generated by a computer can be used instead of using the random number list stored in the random number list storage unit 132. . In particular,
Instead of managing the random number identifier of the last used random number list, the seed used for the last generation of the pseudo random number may be managed.
The display order determination unit 113 performs a display order determination process when receiving a narrowing condition from the terminal device 3.

The procedure of the display order determination process will be described with reference to the flowchart of FIG.
First, the display order determination unit 113 receives a narrowing condition from the terminal device 3 via the network 2 (step S101).
Next, the display order determination unit 113 receives the step S1 from the compatible content information storage unit 133.
The compatible content information corresponding to the filtering condition received at 01 is acquired (step S1).
02). If the narrowing condition is one condition such as the use subject identifier, the narrowing condition and the key may be compared to obtain all matching content information.

In addition, when a plurality of keywords are composed of AND conditions, OR conditions, etc., such as the search condition is a search condition, there is no key that matches the search condition and a key that matches the search condition. The acquisition method changes depending on when there is a key that matches the keyword constituting the search condition. When there is a key that matches the search condition, all matching content information that matches may be acquired. When there is no key that matches the search condition but there is a key that matches the keyword that constitutes the search condition, it is necessary to acquire relevant content information for each keyword and narrow it down according to the search condition.

For example, there is a search condition such as “(key1 AND key2) OR key3”, and as shown in FIG. 9, the content identifier included in the compatible content information for key1 is (c4, c19, c35) and included in the compatible content information for key2. When the content identifier is (c7, c8, c19, c35) and the content identifier included in the compatible content information for key3 is (c1, c8, c35, c43), it exists in both key1 and key2 (c19, c35) ) Or content identifiers (c1, c8, c19, c35, c43) existing in the key 3 are extracted, and for each keyword,
What is necessary is just to extract suitable content information whose content identifier matches any of (c1, c8, c19, c35, c43). As a result, for key1, the content identifier (c
19, the matching content identification information corresponding to the content identifier (c8, c19, c35) is acquired for key2, and k2 is obtained.
For ey3, the compatible content identification information corresponding to the content identifiers (c1, c8, c35, c43) is acquired.

It should be noted that when acquiring the compatible content information corresponding to the narrowing condition from the compatible content information storage unit 133, the service provider side does not acquire all the content information corresponding to the narrowing condition, and the service provider side determines in advance in descending order of the matching level. The number may be acquired. At this time, if the display order determination unit 113 receives from the terminal device 3 an acquisition limit number that specifies the maximum acquisition number of content information with respect to the narrowing condition in addition to the narrowing condition, the display order determination unit 113 obtains it from the compatible content information storage unit 133. The predetermined number, which is the number of pieces of compatible content information, needs to be equal to or greater than the acquisition limit number. For this reason, for example, when the acquisition limit number is received from the terminal device 3, twice the received acquisition limit number is set as the predetermined number, and the conforming content information storage unit 1
From step 33, it is only necessary to select the relevant content information corresponding to the narrowing-down condition in descending order of the degree of conformity until the number becomes twice the number of acquisition limits, and acquire the selected relevant content information.

Next, the random number acquisition unit 112 acquires a random number list (step S103).
Next, for each content identifier included in the matching content information acquired in step S102, the display order determination unit 113 uses the matching level and the random number in the random number list acquired by the random number list acquisition unit 112 to determine the priority. Is calculated (step S104). If there are a plurality of pieces of relevant content information having the same content identifier in the relevant content information acquired in step S102, it is necessary to recalculate the degree of conformity with respect to the content identifier using the sum of the degree of suitability. For example, as in the example of FIG. 9, the search condition “(key1 AND k
ey2) “c19” which is one of the content identifiers corresponding to “OR key3” is k
Since there are two goodness-of-fits corresponding to ey1 and the goodness-of-fit corresponding to key2,
The sum of the two matching levels may be the matching level of “c19” for the search condition.

Hereinafter, four methods for calculating the priority will be described. Note that the degree of conformity corresponding to the i-th content identifier c (i) (εC (k)) included in the set of content identifiers C (k) included in the compatible content information corresponding to the filtering condition k is v (k , C (i)). In addition, the i-th random number in the random number list R acquired in step S103 is defined as r (i). In addition, when the content identifiers are sorted in descending order of suitability and the suitability ranks are given in descending order of suitability, the suitability rank corresponding to the i-th content identifier is set to rank (k, c (i)).

The first method of calculating the priority is a method of calculating, as the priority, the product of a power value and random number with the fitness as the radix and γ1 as the index. At this time, the priority pr (k, c (i)) corresponding to the i-th content identifier is expressed by Expression (5). Here, γ1 is a constant larger than zero. Further, it is necessary to use a random number that is a real value greater than at least “0”. In the first method, the higher the fitness level, the higher the probability that the display order assigned based on the priority will be higher.
Further, when γ1 is “1” as a reference, the influence of random numbers can be increased by making γ1 smaller than “1”, and the influence of random numbers can be reduced by making γ1 larger than “1”. be able to.

The second method for calculating the priority is a method for calculating, as the priority, a sum of a value obtained by multiplying a power value having a fitness value as a base and γ2 as an index and α and a random number. At this time, the priority pr (k, c (i)) corresponding to the i-th content identifier is expressed by Expression (6). Here, α2 and γ2 are constants larger than zero. Further, unlike the first method, there is no restriction on the random number to be used. Second
In this method, the higher the matching level, the higher the probability that the display order assigned based on the priority will be higher. When α2 is “1” as a reference, the influence of random numbers can be increased by making α2 smaller than “1”, and the influence of random numbers can be reduced by making α2 larger than “1”. be able to. Further, when γ2 is “1” as a reference, the influence of random numbers can be increased by making γ2 smaller than “1”, and the influence of random numbers can be reduced by making γ2 larger than “1”. be able to.

The third method for calculating the priority is a method for calculating, as the priority, a product of a power value and a random number with the matching rank as a radix and γ3 as an index. At this time, the priority pr (k, c (i)) corresponding to the i-th content identifier is expressed by Expression (7). Here, γ3 is a constant larger than zero. Further, it is necessary to use a random number that is a real value greater than at least “0”. In the third method, the higher the matching order is, the higher the probability that the display order assigned based on the priority is higher. Further, when γ3 is “1” as a reference, the influence of random numbers can be increased by making γ3 smaller than “1”, and the influence of random numbers can be reduced by making γ3 larger than “1”. be able to.

The last term of Expression (7) becomes a smaller value as the rank (fit rank) when ranked in descending order of fit is the later rank.

The fourth method of calculating the priority is a method of calculating, as the priority, a sum of a value obtained by multiplying a power value obtained by multiplying the power of the matching order by the base and γ4 as an index and α4 and a random number. At this time, the priority pr (k, c (i)) corresponding to the i-th content identifier is expressed by Expression (8). Where α4 and γ
4 is a constant larger than 0. Further, unlike the third method, there is no limit on the random number to be used.
In the fourth method, the higher the matching rank is, the higher the probability that the display rank assigned based on the priority is higher. Further, when α4 is “1” as a reference, the influence of random numbers can be increased by making α4 smaller than “1”, and the influence of random numbers can be reduced by making α4 larger than “1”. be able to. Further, when γ4 is “1” as a reference, the influence of random numbers can be increased by making γ4 smaller than “1”, and the influence of random numbers can be reduced by making γ4 larger than “1”. be able to.

For the last term of formula (8), the ranking when ranking in order of the goodness of fit (fitness ranking)
The lower the value, the smaller the value.

Not only the first to fourth methods for calculating the priority, but also the fitness (or fitness) is used so that the higher the fitness is, the higher the probability that the display order assigned based on the priority will be higher. The priority may be calculated using a value that can be calculated) and a random number. For example, the fitness is at least “0”
A value divided by a random number that is a larger real value may be used as the priority. At this time, contrary to the first to fourth methods of calculating the priority, the smaller the random number value, the higher the priority, but the higher the matching degree, the higher the display order given based on the priority. Since it has the property that the probability is high, it can be used as a priority calculation method.

Next, the display order determination unit 113 assigns display orders to the content identifiers included in the compatible content information acquired in step S102 in descending order of the priority calculated in step S104 (step S105). That is, the higher the priority, the higher the display order, and the lower the priority, the later display order.
Next, the display order determination unit 113 receives the content information storage unit 131 from step S102.
The content information corresponding to the content identifier included in the matching content information acquired in step S105 is acquired and sorted in the order of the display order assigned in step S105. The information processing server communication unit 12 transmits the content information sorted in the order of display order to the terminal device 3 through the network 2 (step S106), and ends a series of processing from step S101 to step S106. Moreover, you may add the adaptation order | rank provided to the content information transmitted to the terminal device 3 in order with a high adaptation degree.
If the display order determination unit 113 receives from the terminal device 3 an acquisition limit number that specifies the maximum number of content information acquisition items for the narrowing condition in addition to the narrowing condition, in step S106, the terminal device 3 It is only necessary to select the content information to be transmitted to the acquisition limit number in order from the top of the display order and transmit only the selected content information.

A series of procedures in which the terminal device 3 transmits the narrowing condition to the information processing server apparatus 1 and receives and displays the content information corresponding to the narrowing condition will be described with reference to the flowchart of FIG.
First, the terminal device 3 transmits a narrowing condition to the information processing server device 1 through the network 2 (step S201).

Next, when the information processing server communication unit 12 receives the narrowing condition through the network 2, the matching level calculation unit 111 performs a matching content selection process (step S202).
Next, the display order determination unit 113 of the information processing server device 1 performs display order determination processing, and the information processing server communication unit 12 transmits the display order corresponding to the received narrowing condition to the terminal device 3 through the network 2. The content information sorted in the order of is transmitted (step S2
03).

Next, the terminal device 3 receives the content information sorted in the order of display order corresponding to the transmitted narrowing-down conditions from the information processing server device 1 through the network 2 (step S204).
Next, the terminal device 3 displays the received content information on a display device (not shown) (step S205), and ends a series of processing from step S201 to step S205. The content information may be displayed in order of display order, or a predetermined number of pieces of content information may be displayed without being arranged in order of display order.
In addition, when the compatible content selection process is performed at each predetermined timing, step S2 is performed.
What is necessary is just to skip the process of 02.

By using the present invention, the display order of content information corresponding to the narrowing-down condition is determined based on the priority as the fitness level is higher by determining the display order in the order of the higher priority using the fitness level and the random number. Since the probability of being ranked higher is increased, it is possible to present a variety of display results without impairing the reliability of the user, so that the user's interest is maintained and the use of the user's service is promoted. Can do.

In addition, by managing the number of browsing for the same filtering condition and calculating the priority using a random number list that has a different number of browsing every predetermined number of times, the content information corresponding to the same filtering condition does not change each time. , For example, when the user continuously checks the content information for the same narrowing conditions, the user can feel order in switching the content information, and improve the reliability. be able to. Further, it is possible to avoid that the content information that the user intends to confirm next is not displayed when redisplayed.

In addition, by managing the number of times of browsing for the same filtering condition of the user and calculating the priority using a random number list in which the number of browsing times of the user is different for each predetermined number of times, a plurality of users can obtain content information for the same filtering condition. Even when checking continuously, the reliability can be improved. Further, it is possible to avoid that the content information that the user intends to confirm next is not displayed when redisplayed.

In addition, content information changes at each predetermined time interval by calculating the priority using a different random number list at each predetermined time interval, so the user uses the service many times according to the time interval. Can be expected to do.
In addition, in services where the tendency of access time of the entire user is biased, the user's interest is attracted by shortening the predetermined time interval when the access is reduced or during the time period, and even when it is not normally used Users can expect to use the service.
In addition, by changing the predetermined time interval at random, it becomes impossible to know at what timing the content information will be switched, so the user will continue to be interested in "the content information may have been switched when accessing the service now" You can expect to use the service frequently.

The present invention includes a program for causing a computer to realize the functions of the information processing apparatus of each embodiment. These programs may be read from a recording medium and loaded into a computer, or may be transmitted via a communication network and loaded into a computer. The present invention is not limited to the embodiments described above, and various modifications can be made without departing from the scope of the present invention.

1. Information processing server device (information processing device)
2 Network 3 Terminal device (display device)
DESCRIPTION OF SYMBOLS 31 Terminal communication part 32 Display part 11 Information processing server apparatus control part 12 Information processing server communication part 111 Suitability calculation part 112 Random number acquisition part 113 Display order determination part 12 Information processing server communication part 13 Information processing server apparatus storage part 131 Content information Storage unit 132 Random number list storage unit 133 Applicable content information storage unit

Claims (22)

A fitness level acquisition unit for calculating a fitness level, which is a value indicating the degree of matching between the filtering condition and the information;
A numeric string acquisition unit for acquiring a numeric string composed of multiple types of numeric values;
A plurality of pieces of information that are at least a part of the information on which the fitness is acquired are set as processing target information, the processing target information is ranked in descending order of the fitness, and the processing is performed on each of the processing target information. Based on the calculated priority, the priority is calculated such that the higher the value indicating the rank of the target information is, the higher the value is, and the larger the numerical value of the acquired numerical sequence is, the larger the value is. A display order determining unit that determines the display order of each piece of processing target information. A fitness level acquisition unit for acquiring a fitness level, which is a value indicating the degree of matching between the narrowing-down condition and the information;
A numeric string acquisition unit for acquiring a numeric string composed of multiple types of numeric values;
A plurality of pieces of information that are at least a part of the acquired information on the degree of matching are set as processing target information, and the larger the matching level of each of the processing target information, the larger the value for each piece of processing target information. In addition, a priority is calculated so that the larger the numerical value in the acquired numerical sequence is, the higher the value is, and a display order determination unit that determines the display order of each of the processing target information based on the calculated priority. An information processing apparatus comprising: The display order determination unit is a value obtained by multiplying one numerical value included in the numerical sequence by a value that becomes smaller as the ranking becomes higher in the order in which the ranking is higher, or the numerical value For each of the processing object information, using one numerical value included in a column and a value obtained by adding a value that becomes smaller as the ranking becomes higher later when ranking in order of the fitness level, The information processing apparatus according to claim 1, wherein the priority is calculated. The display order determination unit includes one numerical value included in the numerical sequence, a value using a power value with a first predetermined value as an index, based on a rank when ranking in descending order of the fitness. Or a value obtained by weighting, with a second predetermined value, a value obtained by multiplying the values, or one numerical value included in the numerical string, and a value that becomes smaller as the ranking becomes higher in the order of ranking according to the order of the fitness. The information processing apparatus according to claim 1, wherein the priority is calculated for each piece of processing target information using a value obtained by adding together. The display order determination unit is a value obtained by multiplying one numerical value included in the numerical sequence by a value using the fitness, or one numerical value included in the numerical sequence and a value using the fitness. The information processing apparatus according to claim 2, wherein the priority is calculated for each piece of processing target information using a value obtained by adding together. The display order determination unit includes a value obtained by multiplying one numerical value included in the numerical sequence by a power value having the fitness as a base and a third predetermined value as an index, or included in the numerical sequence. And calculating the priority for each piece of the processing target information using a value obtained by adding a value obtained by weighting the value using the fitness value with a fourth predetermined value. The information processing apparatus according to claim 2. The information processing apparatus according to claim 1, wherein the numerical value sequence acquired by the numerical value acquisition unit is configured with numerical values equal to or greater than the number of pieces of processing target information. The numerical value sequence acquisition unit is configured such that each numerical value sequence is composed of a plurality of types of numerical values, and at least one of the numerical values in each numerical value sequence is different from each other. The information processing apparatus according to any one of claims 1 to 7, wherein the information processing unit selects and acquires a numerical string thereof. The numerical sequence acquisition unit counts the number of times of determination of the display order with respect to the same narrowing condition, and acquires a numerical sequence different from the previously acquired numerical sequence every time the determination number increases by a predetermined number. The information processing apparatus according to any one of claims 1 to 8, wherein the information processing apparatus is characterized. Browsing in which the narrowing-down condition, a user entity identifier for identifying a user who uses the narrowing-down condition or a terminal device used by the user, and the number of times of browsing, which is the number of times browsing of the processing target information is requested It further includes a browsing number information creation unit for creating the number of times information,
The numerical sequence acquisition unit acquires a numerical sequence different from the previously acquired numerical sequence every time the number of browsing corresponding to one narrowing condition and one user entity identifier increases by a predetermined number while referring to the browsing frequency information The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus. 9. The numerical value sequence acquisition unit according to claim 1, wherein the numerical value sequence acquisition unit acquires a numerical value sequence different from the previously acquired numerical value sequence every time the display order is determined a predetermined number of times. The information processing apparatus described in 1. 9. The information processing apparatus according to claim 1, wherein the numerical sequence acquisition unit acquires a numerical sequence different from the previously acquired numerical sequence every time a predetermined time elapses. . The narrowing-down condition is a condition for extracting information recommended to the user,
The information processing apparatus according to any one of claims 1 to 12, wherein the fitness level calculation unit calculates the fitness level so that the value increases as the degree of recommendation to the user increases. The narrowing-down condition is a condition for extracting other information related to one information,
13. The fitness level calculation unit according to claim 1, wherein the fitness level calculation unit calculates the fitness level so that a value increases as a degree of association between one information and another information increases. Information processing device. The refinement condition is a search condition,
The information according to any one of claims 1 to 12, wherein the fitness level calculation unit calculates the fitness level so that the higher the fitness level between the information and the search condition, the larger the value. Processing equipment. 16. The apparatus according to claim 1, further comprising: an output unit that selects a predetermined number of pieces of information from the processing target information in descending order of display order, and outputs the selected information to the outside. The information processing apparatus according to item. A terminal device capable of communicating with the information processing device according to any one of claims 1 to 16,
A transmission unit for transmitting the narrowing condition and the acquisition limit number;
A receiving unit that receives a number of pieces of information that does not exceed an acquisition limit number that is at least a part of the processing target information, and each display order;
And a control unit that selects a predetermined number of pieces of information in order from the top of the received display order, and causes the display unit to display the selected information in a different order from the received display order. A terminal device capable of communicating with an information processing device that outputs a plurality of information and display order of each information,
A transmission unit that transmits a filtering condition for narrowing down information to be output and an acquisition limit;
A receiving unit that receives the number of pieces of information not exceeding the transmitted acquisition limit number and each display order;
And a control unit that selects a predetermined number of pieces of information in order from the top of the received display order, and causes the display unit to display the selected information in a different order from the received display order. An information processing method executed by an information processing apparatus,
A fitness level acquisition step for acquiring a fitness level, which is a value indicating the degree of matching between the narrowing-down condition and the information;
Numeric sequence acquisition process for acquiring a numeric sequence composed of multiple types of numeric values;
A plurality of pieces of information that are at least a part of the information on which the fitness is acquired are set as processing target information, the processing target information is ranked in descending order of the fitness, and the processing is performed on each of the processing target information. Based on the calculated priority, the priority is calculated such that the higher the value indicating the rank of the target information is, the higher the value is, and the larger the numerical value of the acquired numerical sequence is, the larger the value is. A display order determining step for determining a display order of each of the processing target information. An information processing method executed by an information processing apparatus,
A fitness level acquisition step for acquiring a fitness level, which is a value indicating the degree of matching between the narrowing-down condition and the information;
Numeric sequence acquisition process for acquiring a numeric sequence composed of multiple types of numeric values;
A plurality of pieces of information that are at least a part of the acquired information on the degree of matching are set as processing target information, and the larger the matching level of each of the processing target information, the larger the value for each piece of processing target information. In addition, a priority is calculated so that the larger the numerical value of the acquired numerical sequence is, the larger the value is, and a display order determination step for determining the display order of each of the processing target information based on the calculated priority, An information processing method comprising: A fitness level acquisition step for acquiring a fitness level, which is a value indicating the degree of matching between the filtering condition and the information;
Numeric sequence acquisition step for acquiring a numeric sequence composed of multiple types of numeric values;
A plurality of pieces of information that are at least a part of the information on which the fitness is acquired are set as processing target information, the processing target information is ranked in descending order of the fitness, and the processing is performed on each of the processing target information. Based on the calculated priority, the priority is calculated such that the higher the value indicating the rank of the target information is, the higher the value is, and the larger the numerical value of the acquired numerical sequence is, the larger the value is. An information processing program causing a computer to execute a display order determining step for determining a display order of each of the processing target information. A fitness level acquisition step for acquiring a fitness level, which is a value indicating the degree of matching between the filtering condition and the information;
Numeric sequence acquisition step for acquiring a numeric sequence composed of multiple types of numeric values;
A plurality of pieces of information that are at least a part of the acquired information on the degree of matching are set as processing target information, and the larger the matching level of each of the processing target information, the larger the value for each piece of processing target information. And a display order determination step for calculating the priority so that the larger the numerical value of the acquired numerical sequence is, the larger the value is, and determining the display order of each of the processing target information based on the calculated priority. An information processing program for causing a computer to execute.

Images