JP7010797B2 - Information processing equipment, information processing methods and information processing programs - Google Patents

Description

The present invention relates to an information processing apparatus, an information processing method and an information processing program.

Conventionally, a technology that extracts a feature attribute common to a plurality of users who have a response record such as a click for each web advertisement, and delivers an advertisement to which the extracted feature attribute is given to a user associated with the same feature attribute. (See, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2011-238020

In the case of the delivery of the web advertisement as described above, it is relatively easy to target because it is easy to identify the feature attribute from other advertisements.

However, in a content distribution service that distributes, for example, a moving image, the user's preference for viewing the content is diverse and targeting is extremely difficult. Therefore, it is difficult to determine the recommended content for a user who has no history, such as a new user who visits the content distribution service for the first time.

The present application has been made in view of the above. For example, an information processing device, an information processing method, and an information processing method capable of recommending content according to a user's preference even to a new user who visits a content distribution service for the first time. The purpose is to provide an information processing program.

The information processing apparatus according to the present application includes an acquisition unit and an aggregation unit. The acquisition unit acquires the attribute information given to the user in another service different from the content distribution service that distributes the content. The aggregation unit is the attribute information acquired by the acquisition unit, and the distribution of each content distributed to the user to which the attribute information is given for each attribute information of the user to whom the content is distributed by the content distribution service. Aggregate the number of times.

According to one aspect of the embodiment, it is possible to recommend content according to the user's preference even to a new user who visits the content distribution service for the first time.

FIG. 1 is an explanatory diagram showing an example of information processing according to an embodiment. FIG. 2 is an explanatory diagram showing a configuration example of an information processing system. FIG. 3 is an explanatory diagram showing a configuration example of the information processing apparatus. FIG. 4 is an explanatory diagram showing an example of the attribute information storage unit. FIG. 5 is an explanatory diagram showing an example of a distribution number storage unit. FIG. 6A is an explanatory diagram showing an example of a content ranking storage unit. FIG. 6B is an explanatory diagram showing an example of the content ranking storage unit. FIG. 6C is an explanatory diagram showing an example of the content ranking storage unit. FIG. 7 is a flowchart showing the flow of information processing in the information processing apparatus. FIG. 8 is an explanatory diagram showing a configuration example of the information processing apparatus according to the modified example. FIG. 9 is a flowchart showing the flow of information processing in the information processing apparatus according to the modified example. FIG. 10 is an explanatory diagram showing an example of a hardware configuration of a computer that executes a program.

Hereinafter, an information processing apparatus, an information processing method, and an embodiment for implementing an information processing program (hereinafter referred to as “embodiments”) according to the present application will be described with reference to the drawings. Note that this embodiment does not limit the information processing apparatus, information processing method, and information processing program according to the present application.

[1. Information processing]
An example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram showing an example of information processing according to an embodiment, and in the example shown in FIG. 1, information processing is executed by the information processing apparatus 10.

The information processing device 10 is a server that is connected to the content distribution device 20 and the user terminal 30 via a network such as the Internet, and transmits and receives various information including user information to and from these devices. The various information includes the ID of the content described later, the user information accompanying the content, and the like. The user information accompanying the content includes the attribute information 60 given to the user in another service different from the content distribution service by the content distribution device 20.

As the content, for example, video content such as a movie or a TV drama that can be viewed by a user by a content distribution service by the content distribution device 20 is assumed. It is said that it is difficult to target such video contents such as movies and TV dramas according to the tastes of users. In particular, it is difficult to effectively recommend to users who have no history in the content distribution service (hereinafter referred to as "video distribution service").

The information processing apparatus 10 acquires the attribute information 60 given to the user in another service different from the content distribution service. Then, the information processing apparatus 10 is the acquired attribute information 60, and each content distributed to the user to which the attribute information 60 is given for each attribute information 60 of the user to which the video content is distributed by the video distribution service. Aggregate the number of deliveries.

For example, if a user accesses the content distribution device 20 that executes the content distribution service, the information processing device 10 acquires the attribute information 60 tagged to the user. Here, the attribute information 60 acquired by the information processing apparatus 10 is information given when using another service different from the content distribution service, and is included in various information tagged to the user. It has been.

The attribute information 60 is also included in the accompanying information tagged with the moving image content distributed by the content distribution device 20. That is, the accompanying information tagged with the moving image content includes the attribute information 60 including information such as behavior targeting in addition to the meta information about the user such as male, female, and age. The information processing apparatus 10 acquires the attribute information 60 possessed by the user to whom the moving image content is distributed.

The information processing device 10 may add the attribute information 60 to the video content to be distributed, or the content distribution device 20 may perform the addition. In any case, when the moving image content is delivered to a predetermined user and viewed by the user, the attribute information 60 of the viewing user is tagged with the moving image content. The attribute information 60 is given when the user uses another web service different from the video distribution service executed by the content distribution device 20, such as a news site, a mail-order site, or a gourmet site. Is included.

Then, the information processing apparatus 10 totals the number of distributions of each video content distributed to the user to which the attribute information 60 is given for each attribute information 60 of the user to which the video content is distributed by the video distribution service. At this time, the attribute information 60 possessed by each user to whom the video content is distributed is totaled for each video content distributed by the content distribution service.

For example, the attribute information 60 for each delivered user is added to the video content that has been delivered to other users so far. The information processing device 10 totals the number of distributions of each moving image content for each of the attribute information 60. From the aggregated result of the number of distributions of each video content for each attribute information 60, the information processing apparatus 10 can grasp how much the video content is distributed to the user having the attribute information 60 belonging to what category. It becomes.

In this way, the information processing apparatus 10 can estimate the viewing tendency of the user's video content for each attribute information 60 by grasping the number of distributions of the video content delivered to the user having the attribute information 60 belonging to various categories. can. As a result, the preference of the video content of the user can be estimated for each attribute information 60, so that the recommended content to be recommended to the user can be determined.

As described above, the information processing apparatus 10 aggregates the number of distributions of each video content delivered to the user to which the attribute information 60 is given for each attribute information 60 of the user to which the video content is delivered by the content distribution service. Then, the information processing apparatus 10 can set a content ranking according to the attribute information 60 based on the aggregation result, and uses the set content ranking to determine recommended content to be recommended to the user. It can be performed.

The information processing device 10 and the content distribution device 20 described above do not have to be single processing devices, and may be realized by a plurality of processing devices such as a cloud system operating in cooperation with each other. Further, in FIG. 1, the information processing device 10 and the content distribution device 20 are separate devices, but this is an example and is not limited, and as will be described later, the information processing device 10 is the content distribution device 20. It may have the function of.

By the way, the attribute information 60 includes information on personal preference in addition to the above-mentioned meta information. The attribute information 60 is classified into a large category such as entertainment, sports, shopping, travel, and economic activity, and the large category is further classified into a medium category. In addition, the middle category may include a small category. For example, if the large category is entertainment, the medium category is classified into music, entertainment, etc., and the music is further classified into small categories such as classic, movie music, ensemble, J-pop, K-pop, and the like. Note that these are examples, and the attribute information 60 may be any information as long as it is information related to the user's attributes.

Further, the attribute information 60 includes user behavior targeting information. Behavioral targeting information includes, for example, information such as what kind of product the user purchased, what kind of news was viewed, what kind of site was visited, etc. using the Internet, etc., and personal preferences etc. are estimated from now on. can do.

When the content is a moving image content, the moving image content is distributed to the content distribution device 20 in response to a distribution request from the user performed via the user terminal 30. The video content is accompanied by ID information indicating the title of the work and work information indicating the category of the work (comedy, action, history, musical, etc.).

Here, the procedure for determining the moving image content recommended to the user will be described more specifically with reference to FIG. In FIG. 1, for convenience, the plurality of video contents included in the content distribution device 20 are distinguished from the first to nth video contents C1 to Cn, and the attribute information 60 given to the user is also the first. The attribute information 60a to the fifth attribute information 60e are classified by category.

As shown in FIG. 1, the information processing apparatus 10 acquires the attribute information 60 given to the user in another service different from the video distribution service that distributes the video content (step S1). For example, when the user X who uses the video distribution service for the first time accesses the content distribution device 20, the information processing device 10 gives the attribute information 60 when the user X uses another web service different from the video distribution service. Assuming that the second attribute information 60b is acquired.

Further, the information processing apparatus 10 aggregates the number of distributions of each video content distributed to the user to which the attribute information 60 is given for each attribute information 60 of the user to which the video content is distributed (step S2).

The process of step S2 will be described. As shown in the figure, here, for convenience, the first content C1 is the user A to which the first and second attribute information 60a and 60b are attached, and the second to fourth attribute information 60b and 60c. , 60d is assigned to the user B. Further, it is assumed that the second content C2 is delivered to the user C to which the second attribute information 60b and the fifth attribute information 60e are attached.

In this case, the total result of the number of distributions of the first content C1 for each attribute information 60 of the user to which the first content C1 is distributed is as follows. That is, regarding the second attribute information 60b, since the first content C1 is distributed to the user A and the user B to which the second attribute information 60b is attached, the total number of distributions is twice. Become.

Similarly, the first attribute information 60a, the third attribute information 60c, and the fourth attribute information 60d are as follows. That is, with respect to the first attribute information 60a, since the first content C1 is distributed only to the user A to which the first attribute information 60a is attached, the total number of distributions is one. Further, regarding the third attribute information 60c, since the first content C1 is distributed to the user B to which the third attribute information 60c is attached, the total number of distributions is one. Further, regarding the fourth attribute information 60d, since the fourth attribute information 60d is distributed to the user B to which the fourth attribute information 60d is assigned, the number of distributions is also counted once.

On the other hand, regarding the fifth attribute information 60e, the first content C1 is not delivered to the user C to which the fifth attribute information 60e is attached. Therefore, the total number of times the first content C1 is delivered to the user to which the fifth attribute information 60e is attached is 0 times.

Further, the aggregated result of the number of times of distribution of the second content C2 for each attribute information 60 of the user to which the second content C2 is distributed is as follows. That is, the second content C2 is delivered only to the user C to which the second attribute information 60b and the fifth attribute information 60e are attached. Therefore, the number of times the second content C2 is delivered to the user to which the second attribute information 60b is given and the number of times the second content C2 is delivered to the user to which the fifth attribute information 60e is given are the respective users. It will be once for C. Looking at the first attribute information 60a, the third attribute information 60c, and the fourth attribute information 60d, these are not given to the user C to which the second content C2 is delivered, so that the attribute information 60c The total number of distributions of the second content C2 to the users to which, 60d is given is 0 times, respectively.

Next, the information processing apparatus 10 determines the content recommended to the user to which the attribute information 60 is given, based on the number of distributions of the video content for each of the aggregated attribute information 60 (step S3).

Here, the attribute information 60 acquired in step S1 is the second attribute information 60b given to the user X who has used the video distribution service for the first time, as described above.
Therefore, in the information processing apparatus 10, the first content C1 is delivered twice and the second content C2 is delivered once in the second attribute information 60b based on the aggregation result of step S2. Therefore, the first content C1 having a relatively large number of distributions is determined as the moving image content recommended to the user X.

That is, the user X is given the second attribute information 60b in another service different from the video distribution service. The second attribute information 60b also has a user A and a user B who have used the video distribution service so far. Therefore, it is presumed that the user X, the user A, and the user B to which the common second attribute information 60b is associated have a common preference. Therefore, it is presumed that the first content C1 that is considered to be viewed by both the user A and the user B matches the preference of the user X. In this way, even for the user X who is a new user who visits the video distribution service for the first time, it is possible to recommend the video content according to the preference of the user X.

In the above-mentioned examples, the content has been described as video content, but the content is not limited to these, and may be content included in other categories such as games and electronic books. Further, the content is distributed to the user terminal 30 by the content distribution device 20 and used, but the distribution method is not limited to this.

[2. Information processing system]
FIG. 2 is an explanatory diagram showing a configuration example of an information processing system. As shown in FIG. 2, the information processing system according to the embodiment includes an information processing device 10, a content distribution device 20, and a user terminal 30.

These various devices 10, 20, and 30 are connected to each other so as to be able to communicate with each other wirelessly or by wire via the network N. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

The user terminal 30 is a terminal device used by a user (not shown), and the user terminal 30 is, for example, a smartphone, a tablet terminal, a PDA (Personal Digital Assistant), a desktop PC (Personal Computer), or a notebook type. PC etc. In FIG. 2, one information processing device 10 and one content distribution device 20 are shown, and a plurality of user terminals 30 (three in this case) are shown, but the devices 10, 20, and 30 constituting the information processing system are shown. There is no limit to the number of units.

[3. User terminal 30]
As described above, the user terminal 30 is, for example, a smartphone, a tablet terminal, a PDA, a PC, or the like, and although the configuration thereof is omitted, the communication unit, the display unit, the input unit, and the control unit , With a storage unit.

The communication unit is connected to the network N by wire or wirelessly, and can transmit and receive information to and from the content distribution device 20, the information processing device 10, and the like. For example, the communication unit is realized by a NIC (Network Interface Card) or the like.

The display unit is a display device that displays various information including, for example, moving image contents. For example, the display unit is an LCD (Liquid Crystal Display) or an organic EL display. A touch panel type display can also be adopted for the display unit.

The input unit is an input device that receives various operations from the user. The input unit has, for example, a button for inputting characters, numbers, and the like. When the display unit is a touch panel type display, a part of the display unit functions as an input unit.

The storage unit is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. Various programs, setting data, information on received contents, and the like are stored in such a storage unit.

The control unit is a controller, and includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, an input / output port, and various circuits. Further, the control unit may be configured by hardware such as an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit includes a transmission unit, a reception unit, and a processing unit.

For example, the transmission unit transmits a content (for example, moving image content) acquisition request to the content distribution device 20 according to a user operation received via the input unit.

Further, for example, when the transmission unit receives an operation on the user's content while the content is displayed on the display unit, the transmission unit transmits a signal indicating the operation to the content distribution device. The operation for the content includes, for example, various operations such as a playback operation, a fast forward operation, a rewind operation, and a stop operation when the content is a moving image.

The receiving unit receives, for example, information on the content distributed from the content distribution device 20. The receiving unit can store the information of the received content in the storage unit.

The processing unit controls the entire user terminal 30 including the display unit and the like. For example, the processing unit can read the information of the content received by the receiving unit from the storage unit, output it to the display unit, and display it.

[4. Content distribution device 20]
The content distribution device 20 is, for example, a server that distributes various contents corresponding to the acquisition request when the content acquisition request is received from the user terminal 30. For example, when the content distribution device 20 is a device that executes a video distribution service, the content distribution device 20 distributes information on video content such as a movie or a TV drama as content.

Further, when the content distribution device 20 receives a request for acquisition of content accompanying information such as a user attribute from the information processing device 10, the content distribution device 20 can transmit the content accompanying information to the information processing device 10. When the video content is delivered to the predetermined user terminal 30, the attribute information 60 of the delivery destination user is tagged with the video content as incidental information. Although the information processing device 10 is supposed to perform such tagging, the content distribution device 20 that distributes the moving image content may perform the tagging.

[5. Information processing device 10]
FIG. 3 is an explanatory diagram showing a configuration example of the information processing apparatus 10. As shown in FIG. 3, the information processing apparatus 10 includes a communication unit 11, a control unit 40, and a storage unit 50.

As described above, the information processing apparatus 10 acquires the attribute information 60 given to the user in another service different from the video distribution service, and for each attribute information 60 of the user to which the video content is distributed by the video distribution service. The number of times each video content delivered to the user is delivered can be totaled. Then, the video content recommended to the user who has accessed the content distribution device 20 can be determined based on the aggregated result of the video content for each of the aggregated attribute information 60. Hereinafter, the configuration of the information processing apparatus 10 will be specifically described.

[6.1. Communication unit 11]
The communication unit 71 is connected to the network N by wire or wirelessly, and transmits / receives information to / from each device such as the content distribution device 20 connected to the network N. For example, the communication unit 71 is realized by a NIC or the like.

[6.2. Storage unit 50]
The storage unit 50 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 50 according to the present embodiment includes an attribute information storage unit 51, a distribution number storage unit 52, a content ranking storage unit 53, and a recommendation information storage unit 54.

[6.2.1. Attribute information storage unit 51]
The attribute information storage unit 51 stores the attribute information 60 (see FIG. 1) given to the user in another service different from the video distribution service by the content distribution device 20. FIG. 4 is a diagram showing an example of the attribute information storage unit 51. For example, the attribute information storage unit 51 includes items such as "user ID" and "user attribute".

The "user ID" indicates identification information for identifying a user. As shown in the figure, "user attributes" are information on personal preferences such as anime, games, dramas, soccer, baseball, enka, etc., in addition to meta information such as gender of men and women and ages such as 20s and 40s. It is included.

In particular, as information on personal preference, for example, "soccer" is attached to a user who comes into contact with information on soccer in the sports category on a site that executes a news distribution service. Similarly, if it is "baseball", it is given to users who come into contact with information about baseball in the sports category. Further, "K-POP" and "enka" are given to users who have downloaded songs included in the K-POP genre, for example, on a site that executes a music download service. Similarly, it is given to the user who downloaded the music included in the enka genre.

Further, "animation", "drama" and the like are given to users who have accessed information on animation and information on drama, for example, on a service site that provides information on TV programs. Among the information related to dramas, the users who have accessed the information related to Korean dramas are given attribute information such as "Korean wave" as a lower category. Similarly, the lower category of the drama includes various attribute information 60 such as "action" and "romance".

In this way, the attribute information storage unit 51 stores the user's behavior information in another service different from the video distribution service as the user's attribute information 60 (see FIG. 1) indicating the user attribute. The attribute information 60 is acquired by the acquisition unit 41 (see FIG. 3) and is stored in a database.

If the user uses the video distribution service provided by the content distribution device 20, the content distribution device 20 can add the attribute information 60 to the user who browses the video content. For example, based on the ID information and work information tagged with the video content viewed by the user who used the video distribution service, the content distribution device 20 may use the above-mentioned "animation", "action", "love", etc. The same attribute information 60 is given to the user.

Therefore, in addition to the video distribution service, the acquisition unit 41 can acquire the user's behavior information given to the user in another service different from the video distribution service as the attribute information 60. Then, the attribute information 60 acquired by the acquisition unit 41 is stored in the attribute information storage unit 51.

[6.2.2. Delivery number storage unit 52]
The distribution number storage unit 52 stores the distribution number of each content distributed to the user for each attribute information 60 of the user. Specifically, the aggregated result of the delivered video content is stored for each attribute information 60 of the user to which the video content is delivered. FIG. 5 is an explanatory diagram showing an example of the distribution number storage unit 52. For example, the distribution number storage unit 52 stores a distribution number table. In the distribution count table, the number of distributions of the video content for each user attribute information 60 in each video content is ranked as "AAA", "BBB", "CCC" ... "XXX", which are identification information of the video content. It is attached.

In the example shown in FIG. 5, for example, the moving image content "AAA" is distributed 1800 times to the user to which the attribute information 60 "male" is given. Further, this video content "AAA" is distributed 1100 times to the user to which the attribute information 60 "animation" is given, and is distributed 1000 times to the user to which the attribute information 60 "drama" is given. .. Similarly, this video content "AAA" is distributed 650 times to the user to which the attribute information 60 "woman" is given, and is distributed 100 times to the user to which the attribute information 60 "baseball" is given. ing.

Further, the number of distributions for each attribute information 60 in each moving image content is ranked, and in the examples shown in FIGS. 6A to 6C, the number of views from the 1st place to the 50th place is included.

[6.2.3. Content ranking storage unit 53]
The content ranking storage unit 53 stores ranking information according to the number of distributions of each content for each attribute information 60. That is, the number of times the video content is distributed by the user to which the predetermined attribute information 60 is attached is derived as ranking information by the aggregation unit 42 (see FIG. 3) described later, and the derived ranking information is stored in the content ranking storage unit 53. To.

6A, 6B and 6C are explanatory views showing an example of a content ranking storage unit. For example, the content ranking storage unit 53 includes items such as "rank", "content", and "aggregated information for each attribute information". Further, the item of "aggregated information for each attribute information" is further divided into the items of "attribute information" and "aggregated result".

The "rank" indicates the order of the number of times each content is delivered for each attribute information 60, and is defined here up to the third place, but the order can be set as needed. "Content" indicates identification information of video content. The "attribute information" of the "attribute information for each attribute information" indicates the "user attribute" stored in the attribute information storage unit 51 (see FIG. 4), and is meta information such as gender information and age information, and information related to personal preference. It is included. As described above, the information regarding personal preference includes user behavior information in other services different from the video distribution service. Further, the “total number” indicates the total result of the number of video contents corresponding to the “attribute information”.

In the example shown in FIG. 6A, the most frequently distributed video content to the user to which "animation" is given as the attribute information 60 is "AAA", the second place is "XXX" 400 times, and the third place is 200 times. It is "BBB".

That is, the ranking information stored in the content ranking storage unit 53 is based on the number of distributions of the video content to the user to which the predetermined attribute information 60 is attached, which is aggregated based on the distribution number table shown in FIG. be. As shown in FIG. 5, the most abundant "animation" with attribute information 60 is the video content "AAA" 1100 times, the next is the video content "XXX" 400 times, and the next is the video content. It is 200 times of "BBB", and the aggregated result is stored as ranking information.

The example of the ranking information shown in FIG. 6A was for the moving image content most viewed by the user to which "animation" was given as the attribute information 60. On the other hand, when there are a plurality of attribute information 60s, for example, if the user is given "animation" + "female" as the attribute information 60, different ranking results are stored as shown in FIG. 6B or FIG. 6B.

For example, in the view count storage table in FIG. 5, the number of views of the video content for each attribute information 60 of the user is ranked, but if the rank is not limited, "animation" + "woman" As shown in FIG. 6B, the video content most viewed by the user with the mark is 1900 times "XXX" in the first place, 1750 times "AAA" in the second place, and 300 times in the third place. It becomes "BBB" of.

That is, as shown in FIG. 5, the sum of the attribute information 60 "animation" and the attribute information 60 "woman" is 1100 times for "animation" and 650 times for "woman" in the video content "AAA". Since it is a time, it will be 1750 times. In the video content "BBB", "animation" is 200 times and "woman" is 100 times, so it is 300 times. In the video content "CCC", "animation" is 0 times and "woman" is 350 times, so it is 350 times. Similarly, in the video content "XXX", "animation" is 400 times and "woman" is 1500 times, so it is 1900 times.

Since there is no limit on the ranking, 400 times of the 50th place "animation" is counted in the video content "XXX", which is 1900 times, which is the first place in the ranking (see FIG. 6B). On the other hand, when a ranking limit is set for the number of times the video content is viewed for each attribute information 60 of the user, the video content "XXX" is given "animation" + "female" as shown in FIG. 6C. It may be ranked second as the video content most viewed by the user. That is, for example, if it is conditioned that the number of views of the video content for each attribute information 60 of the user is counted within the 10th place, the video content "XXX" excludes 400 times of "animation", so that it is viewed. This is because the number of times is stored as 1500 times.

By the way, in the above-mentioned example, the ranking information is stored in the content ranking storage unit 53. However, the content ranking storage unit 53 can also be abolished. The ranking of the aggregation result of each content for each attribute information 60 can be derived, for example, based on the viewing count table stored in the distribution count storage unit 52.

[6.2.4. Recommendation information storage unit 54]
The recommendation information storage unit 54 is recommended to the user to which the attribute information 60 is given based on the ranking information stored in the content ranking storage unit 53 or the browsing count table stored in the distribution count storage unit 52. Is remembered. The recommended moving image content is determined by the determination unit 43 described later.

[7. Control unit 40]
Returning to the description of FIG. 3, the control unit 40 will be described. The control unit 40 is a controller, and includes, for example, a microprocessor having a CPU, ROM, RAM, input / output ports, and various circuits. The control unit 40 may be configured by hardware such as ASIC or FPGA.

As shown in FIG. 3, the control unit 40 includes an acquisition unit 41, an aggregation unit 42, and a determination unit 43.

[7.1. Acquisition unit 41]
The acquisition unit 41 acquires the attribute information 60 given to the user in another service different from the video distribution service that distributes the video content. That is, the user who has accessed the content distribution device 20 acquires the attribute information 60 given in another service different from the video distribution service executed by the content distribution device 20. The attribute information 60 includes user behavior information and the like. Further, when the acquisition unit 41 acquires the attribute information 60 associated with the user who has accessed the content distribution device 20 in this way, the acquisition unit 41 stores the acquired attribute information 60 in the attribute information storage unit 51.

Further, the acquisition unit 41 can also acquire the attribute information 60 included in the accompanying information tagged with the moving image content from the content distribution device 20.

[7.2. Aggregation unit 42]
The aggregation unit 42 aggregates the attribute information 60 of the user to whom the video content is distributed for each video content distributed by the video distribution service, and based on the aggregation result, determines the number of distributions of each content for each attribute information 60. Tally. That is, the aggregation unit 42 aggregates the number of distributions of each video content distributed to the user to which the attribute information 60 is given for each attribute information 60 of the user to which the video content is distributed by the video distribution service. Then, the aggregation unit 42 stores the aggregation result of each video content for each attribute information 60 of the user in the distribution number storage unit 52 (see FIG. 5).

Then, the aggregation unit 42 stores the ranking information according to the number of distributions of each video content for each attribute information 60 in the content ranking storage unit 53 (see FIGS. 6A to 6C). As described above, it is not always necessary to derive the ranking information by the aggregation unit 42 and store it independently in the content ranking storage unit 53. If necessary, it is also possible to derive the order corresponding to the aggregation result of each content for each attribute information 60 based on the browsing count table stored in the distribution count storage unit 52.

Further, as described above, the aggregation unit 42 aggregates the attribute information 60 of the user to whom the video content is distributed for each video content distributed by the video distribution service, and at that time, aggregates according to the conditions. It can be excluded from the target. For example, when the aggregation result of the number of distributions of the video content for each attribute information 60 of the user to which the video content is distributed is equal to or less than a predetermined value, the aggregation unit 42 aggregates each video content for each attribute information 60 from the aggregation target. exclude.

That is, when the number of distributions of the predetermined video content is considerably smaller than that of other video contents, the number of distributions of the video content for each attribute information 60 is also considerably smaller. In that case, the number of distributions is considered to have a low contribution in determining the recommended content, so that the load of excluding in advance and totaling can be reduced.

[7.3. Decision unit 43]
The determination unit 43 determines the content recommended to the user to which the attribute information 60 is given, based on the number of distributions for each attribute information 60 aggregated by the aggregation unit 42. That is, the determination unit 43 reads the attribute information 60 of the user who has accessed the content distribution device 20 from the attribute information storage unit 51 in which the attribute information 60 of the user is stored. Then, the determination unit 43 reads out the required number of video contents distributed by the user to which the same attribute information 60 as the read attribute information 60 is given from the content ranking storage unit 53 in the order of ranking.

Then, the determination unit 43 transmits the ID information indicating the title of the moving image content read from the content ranking storage unit 53 to the content distribution device 20.

In this way, the content distribution device 20 can recommend to the user who has accessed the content distribution device 20 the moving image content that suits the user's preference. When making a recommendation to a user, for example, the recommended video content can be displayed in the recommendation area provided on the web page of the video distribution service. Such a recommendation area may be set, for example, on the top page of a web page of a video distribution service.

Further, the determination unit 43 can perform weighting according to the number of distributions corresponding to the attribute information 60 when determining the moving image content recommended to the user.

For example, when setting the ranking according to the number of distributions of each content for each attribute information 60, the number of adoptions of the ranking of the attribute information 60 can be appropriately determined depending on the number of distributions of the content distributed to the user. ..

Further, in the case of weighting, the determination unit 43 weights the number of distributions corresponding to the attribute information 60 when the ratio of the number of users having the attribute information 60 to the entire user is larger than the predetermined value and the ratio is smaller than when the ratio is small. Can be made larger. On the contrary, when the ratio of the number of users having the attribute information 60 to the entire user is smaller than the predetermined value, the determination unit 43 makes the weight of the number of distributions corresponding to the attribute information smaller than when the ratio is large. can do. That is, the weighting can be changed according to the coverage of the attribute information 60.

For example, if the coverage is wide, such as "male" or "female" among the attribute information 60, it is conditioned that the attribute information 60 is at least in the top 10 as the aggregation target for each video content. be. On the other hand, among the attribute information 60, for example, if the attribute is included in the small category (for example, "enka" in the music category), even if the number is small, it is counted.

[8. Information processing device 10 processing flow]
Next, the procedure of information processing in the information processing apparatus 10 will be described. FIG. 7 is a flowchart showing the flow of information processing in the information processing apparatus 10. The "content" shown in FIG. 7 indicates moving image content.

As shown in FIG. 7, the control unit 40 of the information processing apparatus 10 acquires the attribute information 60 given to the user in another service different from the video distribution service that distributes the video content (step S10). Next, the control unit 40 totals the number of distributions of the video content for each attribute information 60 (step S11). That is, the control unit 40 totals the number of distributions of each video content delivered to the user to which the attribute information 60 is given for each attribute information 60 of the user to which the video content is delivered.

Next, the control unit 40 sets the content ranking based on the aggregation result of the number of distributions of the video content for each attribute information 60 aggregated in step S11 (step S12).

Next, the control unit 40 determines as the video content recommended to the user the video content that is frequently distributed by the user to which the same attribute information 60 as the attribute information 60 of the user who has accessed the content distribution device 20 is given (step S13). .. Then, the ID information indicating the determined recommended moving image content is transmitted to the content distribution device 20 (step S14).

Here, the control unit 40 sets the content ranking after totaling the number of distributions of the video content for each attribute information 60. However, as described above, the control unit 40 is based on the total number of distributions of the video content for each attribute information 60. You can also decide on recommended content.

As described above, according to the information processing device 10 according to the present embodiment, for example, even for a user who uses the video distribution service executed by the content distribution device 20 for the first time, the moving image is likely to suit the user's preference. It is possible to recommend content. That is, by using the attribute information 60 which is a user attribute by another service given to the user who uses the video distribution service for the first time, it is possible to recommend the video content which is considered to meet the preference of the user.

(Modification example)
[9. Information processing device 10 according to a modified example]
Next, the information processing apparatus 10 according to the modified example will be described. FIG. 8 is an explanatory diagram showing a configuration example of the information processing apparatus 10 according to the modified example.

The information processing device 10 according to the modified example is different from the information processing device 10 shown in FIG. 3 in that the control unit 40 includes the content distribution unit 44. The other configurations are the same as those of the information processing apparatus 10 shown in FIG. 3, and the description thereof is omitted here.

The information processing device 10 according to the modified example has a configuration that can also serve as a content distribution device 20. Therefore, in the information processing apparatus 10 according to the modified example, it is possible to effectively recommend the video content that seems to suit the taste of the user to the user who visits the video distribution service executed by the content distribution unit 44 for the first time. Become.

[9.1. Processing flow of information processing device related to modified example]
Here, the procedure of information processing in the information processing apparatus 10 according to the modified example will be described. FIG. 9 is a flowchart showing the flow of information processing in the information processing apparatus 10 according to the modified example. The "content" shown in FIG. 9 indicates moving image content.

The control unit 40 of the information processing apparatus 10 acquires the attribute information 60 given to the user in another service different from the video distribution service that distributes the video content (step S100). Next, the control unit 40 totals the number of distributions of each video content distributed to the user to which the attribute information 60 is given for each attribute information 60 of the user to which the video content is distributed (step S110). Next, the control unit 40 sets the content ranking based on the aggregation result of the number of distributions of the video content for each attribute information 60 aggregated in step S110 (step S120).

After that, the control unit 40 acquires the attribute information 60 of the user who has accessed to use the video distribution service, and obtains the video content frequently distributed by the user to which the same attribute information 60 as the acquired attribute information 60 is given. It is determined as the video content recommended for the user (step S130).

Next, the control unit 40 sets a recommendation area on the web page of the video distribution service based on the set content ranking (step S140). Then, the control unit 40 displays the recommended content determined in step S130 in the set recommendation area (step S150).

As described above, even in the information processing apparatus 10 according to the modified example, it is possible to recommend to the user who uses the video distribution service for the first time the video content which is highly likely to suit the taste of the user.

[10. effect〕
It is said that it is difficult to target video contents such as movies and dramas according to user preference, and it is particularly difficult to effectively recommend to users who have no history in the video distribution service.

Therefore, the information processing apparatus 10 according to the embodiment is provided with an acquisition unit 41 and an aggregation unit 42. The acquisition unit 41 acquires the attribute information 60 given to the user in another service different from the video distribution service that distributes the video content. The aggregation unit 42 is the attribute information 60 acquired by the acquisition unit 41, and is distributed to the user to which the attribute information 60 is given for each attribute information 60 of the user to whom the video content is distributed by the video distribution service. Aggregate the number of times video content is delivered.

This makes it possible to recommend video content according to the user's preference even to new users who visit the video distribution service for the first time.

Further, the aggregation unit 42 aggregates the attribute information 60 of the user to whom the content is distributed for each content distributed by the video distribution service, and based on the aggregation result, determines the number of distributions of each content for each attribute information 60. Tally. This makes it possible to grasp how much each video content is viewed by a user with what kind of attribute.

Further, when the aggregation result of the attribute information 60 of the user to which the video content is distributed is equal to or less than a predetermined value, the aggregation unit 42 excludes it from the aggregation target for totaling the number of distributions of each content for each attribute information 60. As a result, it is possible to contribute to the reduction of the load by omitting in advance the numerical value that is considered to have a low degree of contribution when determining the recommended content thereafter.

The information processing apparatus 10 further includes a determination unit 43 that determines content recommended to the user to which the attribute information 60 is given, based on the number of distributions for each attribute information 60 aggregated by the aggregation unit 42. This makes it possible, for example, to recommend video content according to the user's preference to a user who visits a site that operates a video distribution service.

Further, the determination unit 43 determines the video content recommended for the new user based on the number of distributions corresponding to the attribute information of the new user who newly uses the video distribution service. This makes it possible to recommend video content according to the user's preference even to new users who visit the site that operates the video distribution service for the first time.

Further, when determining the moving image content recommended to the user, the determination unit 43 weights according to the number of distributions corresponding to the attribute information 60. As a result, even if it is difficult to target the video content according to the user's preference, it is possible to more effectively recommend the video content according to the user's preference.

Further, the determination unit 43 increases the weight of the number of distributions corresponding to the attribute information 60 when the ratio of the number of users having the attribute information 60 to the entire user is larger than the predetermined value and when the ratio is smaller than the case where the ratio is smaller. Alternatively, conversely, when the ratio of the number of users having the attribute information 60 to the entire user is smaller than the predetermined value, the determination unit 43 increases the weight of the number of distributions corresponding to the attribute information more than when the ratio is large. This makes it possible to recommend video content that reflects the user's taste, even if it is a rare attribute.

The acquisition unit 41 acquires the user's behavior information in the other service as the attribute information 60 given to the user in the other service. This makes it easier to reflect the user's taste when recommending video content.

[11. Hardware configuration]
The information processing apparatus 10 in the above-described embodiment is realized by, for example, a computer 100 having a configuration as shown in FIG. 10 executing a program.

FIG. 10 is a diagram showing an example of a hardware configuration of a computer that executes a program. The computer 100 includes a CPU (Central Processing Unit) 101, a RAM (Random Access Memory) 102, a ROM (Read Only Memory) 103, an HDD (Hard Disk Drive) 104, a communication interface (I / F) 105, and an input / output interface (I). It includes a / F) 106 and a media interface (I / F) 107.

The CPU 101 operates based on the program stored in the ROM 103 or the HDD 104, and controls each part. The ROM 103 stores a boot program executed by the CPU 101 when the computer 100 is started, a program depending on the hardware of the computer 100, and the like.

The HDD 104 stores data or the like used by a program executed by the CPU 101. The communication interface 105 corresponds to the communication unit 71, receives data from another device via the network N and sends the data to the CPU 101, and transmits the data generated by the CPU 101 to the other device via the network N.

The CPU 101 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 106. The CPU 101 acquires data from the input device via the input / output interface 106. Further, the CPU 101 outputs the generated data to the output device via the input / output interface 106.

The media interface 107 reads a program or data stored in the recording medium 108 and provides the program or data to the CPU 101 via the RAM 102. The CPU 101 loads the program from the recording medium 108 onto the RAM 102 via the media interface 107, and executes the loaded program. The recording medium 108 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

When the computer 100 functions as the information processing apparatus 10, the CPU 101 of the computer 100 executes the program loaded on the RAM 102, so that the acquisition unit 41, the aggregation unit 42, and the determination unit 43 shown in FIGS. 3 and 8 are executed. In some cases, each function of the content distribution unit 44 is realized.

The CPU 101 of the computer 100 reads and executes these programs from the recording medium 108, but as another example, these programs may be acquired from another device via the network N.

The embodiments of the present application have been described in detail with reference to the drawings, but these are examples, and various modifications and improvements are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure line of the invention. It is possible to carry out the present invention in other forms described above.

For example, the information processing device 10 has decided to total the number of distributions of each content distributed to the user to which the attribute information 60 is given for each attribute information 60 of the user to which the video content is distributed by the video distribution service. .. The number of times the content is distributed in the present embodiment is a concept including the number of times the content is viewed. Therefore, when implementing the invention, the mode may be such that the number of views is totaled instead of the number of distributions. In that case, the content distribution device 20 aggregates the number of times each content is viewed for each attribute information 60, and the information processing apparatus 10 can acquire information indicating the aggregation result from the content distribution device 20.

[12. others〕
Further, among the processes described in the first and second embodiments, all or a part of the processes described as being automatically performed can be manually performed, or the processes are manually performed. It is also possible to automatically perform all or part of the processing described as described above by a known method. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of them may be functionally or physically distributed / physically in any unit according to various loads and usage conditions. Can be integrated and configured.

In addition, the first and second embodiments described above can be appropriately combined as long as the processing contents do not contradict each other.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the tabulation unit 42 can be read as a tabulation means or a tabulation circuit.

10 Information processing device 20 Content distribution device 40 Control unit 41 Acquisition unit 42 Aggregation unit 43 Decision unit 44 Content distribution unit

Claims (11)

An acquisition unit that acquires attribute information given to users in other content distribution services that are different from the content distribution service that distributes predetermined content, and
It is the attribute information acquired by the acquisition unit, and the number of distributions of each content distributed to the user to which the attribute information is given is totaled for each attribute information of the user whose content is distributed by the content distribution service. Aggregation department and
A determination unit that determines content recommended to a user to which the attribute information is given, based on the number of distributions for each attribute information aggregated by the aggregation unit.
An information processing device characterized by being equipped with. The tabulation unit
A billing feature is that the attribute information of the user to whom the content is delivered is aggregated for each content distributed by the content distribution service, and the number of distributions of each content for each attribute information is aggregated based on the aggregation result. Item 1. The information processing apparatus according to Item 1. The tabulation unit
The second aspect of claim 2, wherein when the aggregation result of the attribute information of the user to which the content is delivered is equal to or less than a predetermined value, the number of distributions of each content for each attribute information is excluded from the aggregation target. Information processing equipment. The decision-making part
The description according to any one of claims 1 to 3 , wherein the content recommended for the new user is determined based on the number of distributions corresponding to the attribute information of the new user who newly uses the content distribution service. Information processing equipment. The decision-making part
The information processing apparatus according to claim 4 , wherein when determining the content recommended to the user, weighting is performed according to the number of distributions corresponding to the attribute information. The decision-making part
Claim 5 is characterized in that when the ratio of the number of users having the attribute information to the total number of users is larger than a predetermined value, the weight of the number of deliveries corresponding to the attribute information is smaller than when the ratio is small. The information processing device described. The decision-making part
Claim 5 is characterized in that when the ratio of the number of users having the attribute information to the total number of users is smaller than a predetermined value, the weight of the number of distributions corresponding to the attribute information is larger than when the ratio is large. The information processing device described. The acquisition unit
The description according to any one of claims 1 to 7 , wherein the behavior information of the user in the other content distribution service is acquired as the attribute information given to the user in the other content distribution service. Information processing equipment. The information processing apparatus according to any one of claims 1 to 8 , wherein the content is moving image content. It is an information processing method executed by a computer.
An acquisition process for acquiring attribute information given to a user in another content distribution service different from the content distribution service that distributes a predetermined content, and
It is the attribute information acquired by the acquisition process, and the number of distributions of each content distributed to the user to which the attribute information is given is totaled for each attribute information of the user whose content is distributed by the content distribution service. Aggregation process and
Based on the number of distributions for each attribute information aggregated by the aggregation process, the determination step of determining the content recommended to the user to which the attribute information is given.
An information processing method characterized by including. An acquisition procedure for acquiring attribute information given to a user in another content distribution service different from the content distribution service that distributes a predetermined content, and
It is the attribute information acquired by the acquisition procedure, and the number of distributions of each content distributed to the user to which the attribute information is given is totaled for each attribute information of the user whose content is distributed by the content distribution service. Aggregation procedure and
Based on the number of distributions for each attribute information aggregated by the aggregation procedure, a determination procedure for determining recommended content for a user to which the attribute information is given.
An information processing program characterized by having a computer execute.

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