JP6627042B2 - Information processing apparatus, information processing method and program - Google Patents

Description

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

  2. Description of the Related Art A technique for efficiently viewing recorded video content is known.

  For example, the viewing history information including the operation history information and the viewing state history state information of the content is stored for each scene of the content together with the meta information indicating the scene, and when the other content is reproduced, the viewing history information is stored. Calculate the degree of coincidence between the meta information in the history information and the meta information of the other content, calculate the reproduction priority of each scene of the other content based on the degree of coincidence, and, based on the reproduction priority, There is known a method of changing a reproduction mode of another content.

JP 2011-217197 A

There is a problem that it is troublesome to create meta information indicating a scene in advance.
In one aspect, an object of the present invention is to make it possible to easily provide content close to content that a user views.

  In order to achieve the above object, an information processing device disclosed herein is provided. The information processing apparatus includes a storage unit for storing operation information including a reproduction time for each scene of a content viewed by each user, and a first user's viewing / listening based on the reproduction time and the number of reproductions for each scene included in the operation information. A second user having a viewing pattern close to the pattern is extracted, and the content that the extracted second user views and the first user does not view is determined based on the operation information of the second user. And a control unit for outputting the identification information of the content.

  In one aspect, it is possible to easily provide content that is close to the content that the user views.

1 is a diagram illustrating an information processing system according to an embodiment. FIG. 3 is a diagram illustrating a flow of processing of the information processing system according to the embodiment. FIG. 2 is a diagram illustrating a hardware configuration of a recommended content determination device according to the embodiment. FIG. 2 is a block diagram illustrating functions of a recommended content determination device according to the embodiment. FIG. 4 is a diagram illustrating an example of an operation log stored in a storage unit. It is a figure explaining an example of the number rank of reproduction. It is a figure explaining comparison of a user reproduction number rank management table. It is a figure explaining the creation method of a recommended animation management table. It is a figure explaining the creation method of a recommended animation management table. It is a figure explaining the creation method of a recommended animation management table. 5 is a flowchart illustrating a process of a control unit. It is a flowchart explaining a recommended moving image list creation process. It is a flowchart explaining a matching degree calculation process.

Hereinafter, an information processing system according to an embodiment will be described in detail with reference to the drawings.
<Embodiment>
FIG. 1 is a diagram illustrating an information processing system according to an embodiment.

  The information processing system 1 according to the embodiment can be applied to, for example, adult content. The information processing system 1 includes a content distribution server device 2, a recommended content determination device (computer) 3, and terminal devices 4a, 4b, and 4c (a plurality of terminal devices). The content distribution server device 2, the recommended content determination device (computer) 3, and the terminal devices 4a, 4b, 4c are connected to each other via a network 50 such as the Internet. It is needless to say that the number of terminal devices connected to the network 50 is not limited to the illustrated number.

  The terminal devices 4a, 4b, and 4c are devices operated by a user who views the content. The terminal devices 4a, 4b, and 4c are not particularly limited, and include, for example, various terminal devices such as a desktop PC, a smartphone, a tablet terminal device, and a mobile phone. In addition, the contents include moving images, still images, sounds, and the like. Hereinafter, a description will be given of a moving image content as an example.

  The content distribution server device 2 distributes the moving image content to the terminal devices 4a, 4b, 4c in response to the moving image content viewing request from the terminal devices 4a, 4b, 4c. Examples of the distribution method include streaming distribution and progressive download.

  In still another example, all the purchased moving image contents may be downloaded to the storage units of the terminal devices 4a, 4b, and 4c, and the downloaded moving image contents may be reproduced at the time of reproduction.

  In the present embodiment, the content distribution server device 2 requests a user to log in to the system when distributing moving image content. The user operating the terminal devices 4a, 4b, 4c logs in to the system using a user ID (member ID) and password set in advance, so that the user can view the moving image content distributed by the content distribution server device 2. .

  In the above-described example in which all the purchased moving image contents are downloaded to the storage units of the terminal devices 4a, 4b, and 4c, the user logs in to the system using a dedicated player (PC installation type). After the content distribution server 2 authenticates that the moving image content has been purchased, the moving image content can be viewed.

In a state where the user logs in to the system, the terminal devices 4a, 4b, and 4c store a log (operation log (operation information)) obtained by operating the terminal devices 4a, 4b, and 4c when the user views the moving image content with the user ID and the moving image ID To the recommended content determination device 3. This operation log also plays a role as a viewing history.
Examples of the type of operation include playback, stop, pause, rewind, fast forward, repeat playback, slow playback, and skip playback.
The moving image ID is identification information assigned to each moving image content.

  The recommended content determination device 3 stores the received operation log. The recommended content determination device 3 extracts another user who has viewed a scene close to the scene viewed by a predetermined user based on the operation log. Then, the recommended content determination device 3 determines, based on the operation log of the other user, the extracted moving image content that is viewed by another user and not viewed by a predetermined user. Then, the identification information of the determined moving image content is output. The identification information of the moving image content may be a moving image ID itself, text information such as a URL, or a thumbnail image or a URL in which a link of the moving image content is embedded. In the following description, it is called a list of recommended contents.

As an example, the recommended content determination device 3 uses the operation log of the user who operates the terminal device 4a to identify a scene (hereinafter, referred to as a scene A) having moving image content currently distributed to the terminal device 4a. Recognize that you have watched twice. Further, it recognizes that another scene of the same content (hereinafter, referred to as scene B) is viewed 10 times.
Then, the recommended content determination device 3 determines whether or not there is another user who has viewed the scene A five times and has viewed the scene B ten times.

  For example, if there are six other users who have viewed scene A five times and have viewed scene B ten times, a relatively large number of users among the other scenes viewed by the six users Transmits a list of moving image contents (recommended contents) including the scene being viewed to the terminal device 4a.

  If there is no other user who views scene A five times and views scene B ten times, for example, a user who views scene A four times and views scene B ten times, A user whose viewing frequency is relatively short, such as a user who views A five times and views scene B 11 times, is picked up. Then, as described above, a list of recommended contents including scenes viewed by a relatively large number of users among other scenes viewed by these users is transmitted to the terminal device 4a.

  Furthermore, when creating a list of recommended contents, weighting may be performed according to the number of times of viewing. Specifically, in the above-described example, since the number of times of viewing of scene B is greater than the number of times of viewing of scene A, viewing scene B ten times more than the viewing history of a user viewing scene A five times A list of recommended contents may be created with emphasis on the viewing history of the user who is present.

  In the present embodiment, the recommended content determination device 3 performs the recording of the operation log and the calculation of the recommended content in one device. However, the present invention is not limited to this, and the recording of the operation log and the calculation of the recommended moving image content may be executed by separate devices.

  FIG. 2 is a diagram illustrating a flow of processing of the information processing system according to the embodiment. In FIG. 2, as an example, a flow of processing among the content distribution server device 2, the recommended content determination device 3, and the terminal device 4a will be described.

  The content distribution server device 2 distributes the corresponding moving image content to the terminal device 4a in response to a request for viewing the predetermined moving image content by the user who operates the terminal device 4a.

  The terminal device 4 a transmits an operation log when the user is viewing the moving image content to the recommended content determination device 3 via the network 50. The recommended content determination device 3 stores the received operation log in the storage unit 31 in association with the information for identifying the user.

  The recommended content determination device 3 creates a list of content recommended for the user operating the terminal device 4a based on the stored operation log. The timing of creating the list of recommended contents is not particularly limited. For example, the list may be created when the user is watching certain video content, or may be created when the user finishes viewing the video content. You may.

The recommended content determination device 3 transmits a list of recommended contents to the content distribution server device 2 via the network 50. Upon receiving the list of recommended contents, the content distribution server device 2 transmits the list of recommended contents to the terminal device 4a, for example, when the user views the next moving image content. As a result, a list of recommended contents is displayed on the monitor connected to the terminal device 4a.
As an example of the display method, a method of embedding a link for viewing the moving image content in the thumbnail image and displaying the link on the distribution screen is exemplified.

  For example, when the recommended content is free, the user can view a moving image content including a scene close to the watching moving image content by selecting a thumbnail image displayed on the monitor.

  If the recommended content is paid, a request to purchase the right to view the recommended content is transmitted to the content distribution server device 2 and the right is purchased, so that the video content including a scene close to the video content being viewed is transmitted. You can continue watching.

According to the information processing system 1, by recording and analyzing the operation log of the video viewer, the preference of the viewer can be analyzed for each scene, and a video including a favorite scene can be recommended. .
Hereinafter, the disclosed information processing system will be described more specifically.
FIG. 3 is a diagram illustrating a hardware configuration of the recommended content determination device according to the embodiment.

  The recommended content determination device 3 is entirely controlled by a CPU (Central Processing Unit) 101. The CPU 101 is connected to a RAM (Random Access Memory) 102 and a plurality of peripheral devices via a bus 108.

  The RAM 102 is used as a main storage device of the recommended content determination device 3. The RAM 102 temporarily stores at least a part of an OS (Operating System) program and application programs to be executed by the CPU 101. Further, the RAM 102 stores various data used for processing by the CPU 101.

  A hard disk drive (HDD: Hard Disk Drive) 103, a graphic processing device 104, an input interface 105, a drive device 106, and a communication interface 107 are connected to the bus 108.

  The hard disk drive 103 magnetically writes and reads data on a built-in disk. The hard disk drive 103 is used as a secondary storage device of the recommended content determination device 3. The hard disk drive 103 stores OS programs, application programs, and various data. Note that a semiconductor storage device such as a flash memory can be used as the secondary storage device.

  A monitor 104a is connected to the graphic processing device 104. The graphic processing device 104 displays an image on the screen of the monitor 104a according to a command from the CPU 101. Examples of the monitor 104a include a display device using a CRT (Cathode Ray Tube) and a liquid crystal display device.

  A keyboard 105a and a mouse 105b are connected to the input interface 105. The input interface 105 transmits a signal transmitted from the keyboard 105a or the mouse 105b to the CPU 101. Note that the mouse 105b is an example of a pointing device, and another pointing device can be used. Other pointing devices include, for example, touch panels, tablets, touchpads, trackballs, and the like.

  The drive device 106 reads, for example, data recorded on a portable recording medium such as an optical disc on which data is recorded so as to be readable by reflection of light or a USB (Universal Serial Bus) memory. For example, when the drive device 106 is an optical drive device, the data recorded on the optical disc 200 is read using a laser beam or the like. The optical disc 200 includes Blu-ray (registered trademark), DVD (Digital Versatile Disc), DVD-RAM, CD-ROM (Compact Disc Read Only Memory), CD-R (Recordable) / RW (ReWritable), and the like. .

  The communication interface 107 is connected to the network 50. The communication interface 107 transmits and receives data to and from another computer or communication device via the network 50.

With the above hardware configuration, the processing functions of the present embodiment can be realized. Although FIG. 3 shows the hardware configuration of the recommended content determination device 3, the other computers shown in FIG. 1 can be realized with the same hardware configuration.
The following functions are provided in the recommended content determination device 3 having a hardware configuration as shown in FIG.
FIG. 4 is a block diagram illustrating functions of the recommended content determination device according to the embodiment.
The recommended content determination device 3 includes a storage unit 31 and a control unit 32.
The storage unit 31 stores operation logs sent from the terminal devices 4a to 4c.
FIG. 5 is a diagram illustrating an example of an operation log stored in the storage unit.
In the present embodiment, the operation logs are stored in a table.

  The operation log management table T1 illustrated in FIG. 5 includes columns for management ID, user ID, moving image ID, action, and time. Information arranged in the horizontal direction is associated with each other.

In the column of the management ID, a number for managing the operation log set in the operation log management table T1 is set. The numbers are assigned by the control unit 32 in the order in which the operation logs are received.
In the user ID column, a user ID associated with the operation log is set.
The moving image ID associated with the operation log is set in the moving image ID column.
The type of operation included in the operation log is set in the action column.
In the time column, the duration of the action set in the action column is set.
Based on the operation log management table T1, the control unit 32 calculates a number-of-reproduction rank obtained by converting the number of times of reproduction for each user's scene into points.
Specifically, one viewing unit is defined as the period from the start of the operation to the stop and separation (viewing another moving image content or ending viewing).

One viewing unit includes a reproduction action of one or a plurality of scenes. The control unit 32 counts the number of times of reproduction as one scene reproduction when the reproduction continues for a preset time (for example, 3 minutes) or more. In the example shown in FIG. 5, the user with the user ID “100” starts playing the moving image content with the moving image ID “1000” from 20 minutes and 15 seconds (refer to the management ID “2”), and plays it at 25 minutes and 30 seconds. Has been completed (see management ID “4”). Therefore, the control unit 32 determines that the user of the user ID “100” has reproduced the scenes 20:15 to 25:30 of the moving image content of the moving image ID “1000” once.
That is, in the present embodiment, the scene break is not set in advance, but the scene break is set based on the time watched by the user.

The control unit 32 adds one point to the scene for each scene reproduction, and counts the number of times of reproduction for each scene. In addition, scenes viewed immediately before the last stop action of one viewing are counted by adding one more point. In the example illustrated in FIG. 5, the control unit 32 adds one point to the scenes 20:15 to 25:30 of the video content with the video ID “1000” by the user with the user ID “100”. Further, the user with the user ID “100” has finished viewing the video content with the video ID “1000” (see the management ID “4”), and then has started viewing the video ID “2000” (the management ID “100”). 7 "). Accordingly, the control unit 32 increases the point that the user with the user ID “100” adds to the scenes 20:15 to 25:30 of the moving image content with the moving image ID “1000” by one point.
FIG. 6 is a diagram illustrating an example of the number-of-reproduction rank.
In the present embodiment, the number-of-reproduction ranks are stored in a table.

The user reproduction number rank management table T2 illustrated in FIG. 6 includes columns for user ID, moving image ID, reproduction start, reproduction end, number of times, and points. Information arranged in the horizontal direction is associated with each other.
In the column of user ID, a user ID indicating which user the data in the user reproduction number rank management table T2 is for is set.
A moving image ID is set in the moving image ID column.
In the reproduction start column, a start time serving as a break between scenes of the moving image content having the moving image ID is set.
In the reproduction end column, an end time serving as a break between scenes of the moving image content having the moving image ID is set.
In the column of the number of times, the number of times the scene has been reproduced is set.
In the score column, the score of the scene is set.

  For example, when the user reproduction number rank management table T2 is a table for managing the reproduction number rank of the member ID “100”, the top record of the user reproduction number rank management table T2 includes the moving image with the moving image ID “1000”. In the content, the scene from 15:30 to 18:00 is reproduced eight times. In addition, of the eight playbacks, six times watched the scene from 15:00 to 18:00, and then watched another scene in the same moving image. The viewing of the scene at 18:00 is finally moved to another moving image. Therefore, the score is 8 (the number of times of reproduction) +2 (additional point) = 10.

  Note that, even for the same scene, reproduction is started from the same time in all reproduction times, and reproduction is not necessarily ended in the same time. Therefore, when a scene is specified, it may be determined that the same scene has been reproduced even if there is a difference of several seconds. In this case, “match” described later can be read as “similar”.

The control unit 32 compares the user reproduction number rank management table T2 with the user reproduction number rank management table T2 of other users, identifies other users having similar preferences, and creates a list of recommended video contents. I do.
FIG. 7 is a diagram illustrating a comparison of the user reproduction number rank management tables.

The control unit 32 compares the user reproduction number rank management table T2 of the user ID “100” with another user's user reproduction number rank management table T2 of another user. In FIG. 7, the user reproduction number rank management table T2a of the user ID “100” is compared with the user reproduction number rank management tables T2b, T2c, T2d, and T2e of other user IDs. Then, the control unit 32 creates a recommended moving image management table T3 indicating a list of recommended moving image contents of the user ID “100”.
In the present embodiment, the tabulation of points is stored in a table.

The recommended moving image management table T3 illustrated in FIG. 7 includes columns for user ID, moving image ID, and score. Information arranged in the horizontal direction is associated with each other.
In the user ID column, a user ID indicating which user the data in the recommended moving image management table is for is set.
The moving image ID of the recommended moving image content extracted from the extracted user reproduction number rank management table T2 is set in the moving image ID column.

In the column of points, a total value of points in the extracted user reproduction number rank management table T2 of the moving image ID set in the column of the moving image ID is set. The higher the total value of the scores, the higher the degree of recommendation.
Hereinafter, a method of creating the recommended moving image management table T3 will be described.
8 to 10 are diagrams illustrating a method of creating a recommended moving image management table.

  The control unit 32 creates a scene rank management table T4a based on the user reproduction number rank management table T2a. Specifically, the control unit 32 rearranges the records in the user reproduction number rank management table T2a in descending order of the score. Then, the parent points (parent pt) of the record with the rank “1” are assigned “10”, and the parent point (parent pt) of the record with the rank “2” is assigned “9”. That is, the parent point is generated based on the score of the user reproduction number rank management table T2a, and is different from the score.

  Here, the numerical values in the scene column indicate the reproduction start time and the reproduction end time of the moving image content set based on the times set in the reproduction start and reproduction end columns of the user reproduction number rank management table T2a. I have. For example, “15-18” indicates that the reproduction start time is 15:00 and the reproduction end time is 18:00. Although FIG. 8 shows an example in which seconds are rounded down and processing is performed in units of minutes, processing may be performed in units of seconds without rounding down seconds. When the actual reproduction start time is 17:58, the processing is performed as the reproduction start from 18:00. When the actual reproduction end time is 18:02, the processing is performed as the reproduction end at 18:00. For example, an arbitrary rule can be defined for time division.

In the present embodiment, the scene rank management table T4a of the top four ranks is created, but the number of ranks is not limited to that shown in the figure. For example, in the case where the ranking is created after the eleventh place, all the parent points after the eleventh place may be one point.
Further, for convenience of explanation, the numerical values of the scene rank management table T4a shown in FIG. 8 do not match those of the user reproduction number rank management table T2a of FIG.
The control unit 32 also creates scene rank management tables T4b to T4e for the user reproduction number rank management tables T2b to T2e, respectively.

  Then, the control unit 32 determines whether or not there is a combination of the moving image ID and the scene time that matches the combination of the moving image ID and the scene time in the scene rank management table T4a, and obtains the degree of coincidence.

  In FIG. 8, the control unit 32 compares the scene rank management table T4a with the scene rank management table T4b. There is no combination in the scene rank management table T4b that matches the combination of the moving image ID and the scene time in the scene rank management table T4a. Therefore, the control unit 32 sets the degree of coincidence between the scene rank management table T4a and the scene rank management table T4b to “0”.

  Next, the control unit 32 compares the scene rank management table T4a with the scene rank management table T4c. The scene rank management table T4c includes a combination that matches the combination of the moving image ID and the scene time in the scene rank management table T4a. Matching is a combination of the moving image ID “1000” and the scene time “15-18” whose parent pt of the scene rank management table T4a is “10”, and the parent pt of the scene rank management table T4a is “8”. This is a combination of a certain moving image ID “3000” and a scene time “35-37”. Therefore, the control unit 32 sets the degree of coincidence between the scene rank management table T4a and the scene rank management table T4c to “18”.

  Next, the control unit 32 compares the scene rank management table T4a with the scene rank management table T4d. The scene rank management table T4d includes a combination that matches the combination of the moving image ID and the scene time in the scene rank management table T4a. A match is a combination of the moving image ID “2000” and the scene time “16-20” whose parent pt is “9” in the scene rank management table T4a. Therefore, the control unit 32 sets the degree of coincidence between the scene rank management table T4a and the scene rank management table T4d to “9”.

The control unit 32 similarly compares the scene rank management table T4a and the scene rank management table T4e, and sets the degree of coincidence between the scene rank management table T4a and the scene rank management table T4e to “10”.
Next, as shown in FIG. 9, the control unit 32 calculates scene points (scene pt) in descending order of the degree of coincidence.

  In FIG. 9, the scene points (scene pt) are calculated by multiplying the child points of the other scenes in the scene rank management table T4c whose degree of coincidence with the scene rank management table T4a is "18" by the degree of coincidence. The other scene means a scene having a moving image ID other than the moving image ID included in the scene rank management table T4a.

  The child point is a record in which the records of the user reproduction number rank management table T2c of the user ID “300” shown in the scene rank management table T4c are rearranged in descending order of the score, and the child point (child pt) of the record of the rank “1” ) Is “10”, and the child points (child pt) of the record with the rank “2” are allocated in order, such as “9”.

  This child point is a method of calling a point viewed from the user ID “100” when creating a recommended moving image list of the user with the user ID “100”. This point becomes a parent point when creating a recommended moving image list of the user with the user ID “300”.

  For example, in the example illustrated in FIG. 9, “162” obtained by multiplying the child point “9” of the moving image ID “5000” in the scene rank management table T4c by the degree of coincidence “18” is set as the user ID “100” scene point. I do.

  Further, “144” obtained by multiplying the child point “8” of the moving image ID “7000” in the scene rank management table T4c by the coincidence “18” is set as the scene point of the user ID “100”.

  That is, the control unit 32 determines the recommended order of the moving image content of the user with the user ID “300” having a high degree of coincidence with the user ID “400” and the user ID “500” whose degree of coincidence is lower than the user ID “300” An operation is performed so that the recommended order is higher than the moving image content.

Further, the control unit 32 sets the recommended order of the moving image content of the scene with a large number of reproductions included in the operation log of the user with the user ID “300” to be higher than the recommended order of the moving image content of the scene with a small number of reproductions. Perform the operation.
The control unit 32 performs the same processing for the scene rank management tables T4e and T4d, and calculates the scene point of the user ID “100”.

  In calculating the scene points, the calculation of the scene points may be omitted for a scene rank management table having a matching degree equal to or less than a predetermined value (for example, 5 or less).

  Next, as shown in FIG. 10, the control unit 32 totals the calculated scene points for each scene. Then, the control unit 32 totals the scene points for each moving image ID and creates a recommended moving image management table T3.

In the present embodiment, the recommended moving image list is presented to the user. However, the present invention is not limited to this, and the recommended scene may be presented to the user using the scene point for each scene obtained when the recommended moving image management table T3 is created.
Next, the process of the control unit 32 will be described with reference to a flowchart.

  FIG. 11 is a flowchart illustrating the processing of the control unit. In the following description, an example will be described in which a list of moving image contents recommended for a user with a user ID “100” operating the terminal device 4a is presented.

  [Step S1] Upon acquiring an operation log for viewing moving image content via the terminal device 4a, the control unit 32 stores the operation log in the operation log management table T1.

[Step S2] The control unit 32 calculates the number-of-reproductions rank of each user ID at a predetermined time (for example, once a day (eg, at night) based on the operation log management table T1 for the past several months), and performs the reproduction. The number rank management table T2 is updated, and the process proceeds to step S3.
[Step S3] The control unit 32 creates a recommended moving image management table T3 based on the reproduction number rank management table T2 updated in step S2.

  [Step S4] Upon receiving an access request to the recommended moving image list by operating the user ID “100” that operates the terminal device 4a, the control unit 32 transitions to step S5. As the above-mentioned operation of the user, for example, the user operates the terminal device 4a to access the screen of the recommended moving image list information or to view some moving image content.

[Step S5] The control unit 32 accesses the content distribution server device 2 based on the list of video IDs in the recommended video management table T3. The content distribution server device 2 acquires a title, a reproduction time, a cast, a thumbnail image, and the like associated with the moving image ID, and presents a list of recommended contents to the user via the terminal device 4a.
This is the end of the description of FIG.

Next, the process of creating the recommended moving image management table T3 in step S3 in FIG. 11 (recommended moving image list creation process) will be described using a flowchart. Note that the recommended moving image list creation processing is executed for each user.
FIG. 12 is a flowchart illustrating the recommended moving image list creation processing.
[Step S3a] The control unit 32 creates a scene rank management table T4. After that, the processing makes a transition to Step S3b.
[Step S3b] The control unit 32 calculates the degree of coincidence. This processing will be described later in detail. After that, the processing makes a transition to Step S3c.

[Step S3c] The control unit 32 calculates a scene point for each scene rank management table T4 using the degree of coincidence calculated in step S3b. After that, the processing makes a transition to Step S3d.
[Step S3d] The control unit 32 totalizes the scene points calculated in step S3c for each scene. After that, the processing makes a transition to Step S3e.
[Step S3e] The control unit 32 totals the scene points for each moving image ID.
This is the end of the description of FIG.
Next, the processing of calculating the degree of coincidence in step S3b (the degree of coincidence calculation processing) will be described.
FIG. 13 is a flowchart illustrating the coincidence calculation processing.

[Step S3b1] The control unit 32 selects whether or not there is a scene rank management table T4 that has not been selected (the processing of steps S3b2 to 3b4 has not been performed). When there is an unselected scene rank management table T4 (Yes in step S3b1), the process transits to step S3b2. If there is no unselected scene rank management table T4 (No in step S3b1), the processing in FIG. 13 ends.
[Step S3b2] The control unit 32 selects one unselected scene rank management table T4. After that, the processing makes a transition to Step S3b3.

  [Step S3b3] The control unit 32 determines whether or not a record with a matching moving image ID and a scene with the scene rank management table T4 of the user ID “100” exists in the scene rank management table T4 selected in step S3b2. Judge. If it exists (Yes in step S3b3), the process transits to step S3b4. If not (No in step S3b3), the process proceeds to step S3b1, and the process in step S3b1 is repeatedly executed.

[Step S3b4] The control unit 32 calculates the degree of coincidence and records it for each scene rank management table T4. After that, the processing makes a transition to Step S3b1, and repeatedly executes the processing of Step S3b1.
This is the end of the description of the processing in FIG.

  As described above, according to the information processing system 1, the recommended content determination device 3 includes the storage unit 31 that stores the operation log including the playback time of each scene of the moving image content viewed by each user, and the recommended content determination device 3 includes the operation log. A second user having a viewing pattern close to the viewing pattern of the first user is extracted based on the playback time and the number of playbacks for each scene to be extracted, and the extracted second user views and views the second user. And a control unit that determines the content that does not exist based on the operation log of the second user and outputs identification information of the determined content.

  Specifically, the control unit 32 creates a user reproduction number rank management table T2 and specifies a scene viewed for each user. Then, the control unit 32 creates the scene rank management table T4, totalizes the number of times of reproduction of the specified scene, and quantifies the degree of coincidence between the viewing pattern of the first user and the viewing pattern of another user.

Then, the control unit 32 creates the recommended moving image management table T3 in which the second user views using the degree of coincidence and obtains the recommended order of the content not viewed by the first user.
That is, by recording and analyzing the operation log of the video viewer, the preference of the viewer can be analyzed for each scene, and a video including the favorite scene can be recommended.

  In the embodiment, the recommended moving image list is presented to the user. However, the recommended reproduction start time is presented to the user based on the reproduction start time set in the extracted user reproduction number rank management table T2. Is also good.

  In the present embodiment, the obtained recommended moving image list is displayed on the monitor regardless of the type of moving image content viewed by the user. However, regardless of this, for example, a recommended moving image list of a genre common to the genre of the moving image content being viewed by the user may be displayed on the monitor. Specifically, a certain rule (for example, 1000s for action, 2000s for suspense, etc.) is set for the video ID of the video content of the common genre, and the user can view the video from the recommended video list. It is also possible to extract only recommended moving pictures of a genre common to the genre of the moving picture content being displayed and display them on the monitor.

  The processing performed by the recommended content determination device 3 may be distributed by a plurality of devices. For example, one device may generate the user reproduction number rank management table T2, and another device may determine recommended content using the table.

As described above, the information processing apparatus, the information processing method, and the program of the present invention have been described based on the illustrated embodiments. However, the present invention is not limited to this, and the configuration of each unit has the same function. Any configuration can be used. Further, other arbitrary components and steps may be added to the present invention.
Further, the present invention may be a combination of any two or more configurations (features) of the embodiments described above.

  Note that the above processing functions can be realized by a computer. In this case, a program describing the processing contents of the functions of the recommended content determination device 3 is provided. By executing the program on a computer, the above processing functions are realized on the computer. The program describing the processing content can be recorded on a computer-readable recording medium. Examples of the computer-readable recording medium include a magnetic storage device, an optical disk, a magneto-optical recording medium, and a semiconductor memory. Examples of the magnetic storage device include a hard disk drive, a flexible disk (FD), and a magnetic tape. The optical disk includes a DVD, a DVD-RAM, a CD-ROM / RW, and the like. The magneto-optical recording medium includes an MO (Magneto-Optical disk) and the like.

  When distributing the program, portable recording media such as DVDs and CD-ROMs on which the program is recorded are sold. Alternatively, the program may be stored in a storage device of a server computer, and the program may be transferred from the server computer to another computer via a network.

  The computer that executes the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable recording medium and execute processing according to the program. Further, the computer may execute the processing according to the received program each time the program is transferred from the server computer connected via the network.

  Further, at least a part of the above processing functions can be realized by an electronic circuit such as a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), and a PLD (Programmable Logic Device).

Reference Signs List 1 information processing system 2 content distribution server device 3 recommended content determination device 4a, 4b, 4c terminal device 31 storage unit 32 control unit 50 network T1 operation log management table T2 user reproduction number rank management table T3 recommended video management table T4 scene rank management table

Claims (3)

A receiving unit that the terminal device receives in response to an operation related to the user's viewing, and receives operation information including a reproduction time for each scene of the content viewed by each user,
A storage unit for storing the operation information,
A second user having a viewing pattern close to the viewing pattern of the first user is extracted based on the playback time and the number of playbacks for each scene included in the operation information, and the extracted second user views and listens to the second user. A control unit that determines content not viewed by the first user based on the operation information of the second user, and outputs identification information of the determined content;
Has ,
The operation information includes a reproduction start time and a reproduction end time for each content,
The control unit specifies scenes viewed by the first user and the second user based on the reproduction start time and the reproduction end time, and counts the number of times of reproduction of the specified scenes to collect the first user. Quantifies the similarity between the viewing pattern of another user and the viewing pattern of another user,
Calculate scene points by multiplying the quantified similarity by a numerical value obtained by weighting the scene of the content viewed by the second user in accordance with the number of times of reproduction, and aggregate the calculated scene points for each scene. An information processing apparatus for outputting identification information of a content including a scene .   Computer
  The first user's viewing pattern based on the playback time and the number of playbacks for each scene included in the operation information including the playback time for each scene of the content watched by each user, obtained by the terminal device in response to the user's viewing-related operation Extract a second user with a viewing pattern close to
  The extracted content that is viewed by the second user and not viewed by the first user is determined based on the operation information of the second user,
  When outputting the identification information of the determined content,
  Identifying a scene viewed by the first user and the second user based on a reproduction start time and a reproduction end time for each content;
  Counting the number of times of reproduction of the specified scene and quantifying the similarity between the viewing pattern of the first user and the viewing pattern of another user;
  Calculate scene points by multiplying the quantified similarity by a numerical value obtained by weighting the scene of the content viewed by the second user according to the number of times of reproduction, and aggregate the calculated scene points for each scene. Output the identification information of the content including the scene,
  An information processing method, comprising:   On the computer,
  The first user's viewing pattern based on the playback time and the number of playbacks for each scene included in the operation information including the playback time for each scene of the content watched by each user, obtained by the terminal device in response to the user's viewing-related operation Extract a second user with a viewing pattern close to
  The extracted content that is viewed by the second user and not viewed by the first user is determined based on the operation information of the second user,
  When outputting the identification information of the determined content,
  Identifying a scene viewed by the first user and the second user based on a reproduction start time and a reproduction end time for each content;
  Counting the number of times of reproduction of the specified scene and quantifying the similarity between the viewing pattern of the first user and the viewing pattern of another user;
  Calculate scene points by multiplying the quantified similarity by a numerical value obtained by weighting the scene of the content viewed by the second user in accordance with the number of times of reproduction, and aggregate the calculated scene points for each scene. Output the identification information of the content including the scene,
  A program for executing a process.

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