INFORMATION PROCESSING APPARATUS, AND METHOD, INFORMATION PROCESSING SYSTEM, AND PROGRAM

• US 20120123977A1
• Filed: 11/08/2011
• Published: 05/17/2012
• Est. Priority Date: 11/15/2010
• Status: Active Grant

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Sakamoto, Takayuki, TAKAGI, Tsuyoshi
• Granted Patent: US 8,832,005 B2
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06F 16/4387 by the use of playlists
• CPC Class Codes: G06F 16/635 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Disclosed is an information processing apparatus including: a learning unit that learns user preference for each type in each category for classifying content items in a server; a selection unit that, based on type information indicating a recommendable type which is a type of content items recommendable by the server and a substitutable type which is a type that satisfies a predetermined condition out of the recommendable type, selects one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selects one or more substitutable types in the selected category in a case where there is no recommendable type corresponding with user preference; and an obtaining unit that obtains a content of the selected type from the server.

Claims

1. An information processing apparatus comprising:

a learning unit that learns user preference for each type in each category for classifying content items in a server;

a selection unit that, based on type information indicating a recommendable type which is a type of content items recommendable by the server and a substitutable type which is a type that satisfies a predetermined condition out of the recommendable type, selects one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selects one or more substitutable types in the selected category in a case where there is no recommendable type corresponding with user preference; and

an obtaining unit that obtains a content of the selected type from the server.

2. The information processing apparatus according to claim 1, wherein, in a case where the selection unit selects a category that does not learn user preference, the selection unit selects one or more substitutable types when there is the substitutable type in the selected category, and the selection unit selects other categories when there is no substitutable type in the selected category.

3. The information processing apparatus according to claim 1, wherein the selection unit selects a type having high user preference as a priority out of the recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category.

4. The information processing apparatus according to claim 3, wherein the selection unit as a priority selects a type approximate to the type corresponding with user preference out of the substitutable type in the selected category in a case where the recommendable type corresponding with user preference is not present in the selected category.

5. The information processing apparatus according to claim 1, wherein the obtaining unit obtains the type information from the server or another server different from the server.

6. The information processing apparatus according to claim 1, wherein the obtaining unit obtains a list of the content items of the selected type from the sever or another server different from the server, and obtains a content from the server based on the list.

7. The information processing apparatus according to claim 1, wherein the recommendable type is a type of content items in the server, the number of content items of the recommendable type being equal to or greater than a first threshold value, and the substitutable type is a type of content items in the server, the number of content items of the substitutable type being equal to or greater than a second threshold value which is higher than the first threshold value.

8. An information processing method of an image processing apparatus, the method comprising:

learning user preference for each type in each category for classifying content items in a server;

based on type information indicating a recommendable type which is a type of content items recommendable by the server and a substitutable type satisfying a predetermined condition out of the recommendable type, selecting one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selecting one or more substitutable types in the selected category in a case where there is no recommendable type corresponding with user preference; and

obtaining a content of the selected type from the server.

9. A program for executing an information processing method on a computer, the method comprising:

learning user preference for each type in each category for classifying content items in a server;

based on type information indicating a recommendable type which is a type of content items recommendable by the server and a substitutable type satisfying a predetermined condition out of the recommendable type, selecting one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selecting one or more substitutable types in the selected category in a case where there is no recommendable type corresponding with user preference; and

obtaining a content of the selected type from the server.

10. An information processing system comprising a client, a first server, and a second server,

wherein the client has

a learning unit that learns user preference for each type in each category for classifying content items in a server,

a selection unit that, based on type information indicating a recommendable type which is a type of content items recommendable by the server and a substitutable type satisfying a predetermined condition out of the recommendable type, selects one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selects one or more substitutable types in the selected category in a case where there is no recommendable type corresponding with user preference, and

an obtaining unit that obtains a content of the selected type from the server,

wherein the first server includes a first transmission unit for transmitting the content of the type selected by the client to the client, and

wherein the second server includes an information creating unit for creating the type information, and a second transmission unit for transmitting the type information to the client.

11. The information processing system according to claim 10, wherein

the second server further includes a list creating unit for creating a list of content items of the type selected by the client,

the second transmission unit of the second server further transmits the list to the client, and

the obtaining unit of the client further obtains the list from the second server, and obtains content items from the first sever based on the list.

12. An information processing method comprising:

in a client,

learning user preference for each type in each category for classifying the content on a first server;

in a second server,

creating type information indicating a recommendable type which is a type of content items recommendable by the first server and a substitutable type satisfying a predetermined condition out of the recommendable type, and

transmitting the type information to the client; and

in the client,

based on the type information, selecting one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selecting one or more substitutable types in the selected category in a case where there is no recommendable type corresponding with user preference, and obtaining the content of the selected type from the first server.

13. An information processing apparatus comprising:

a learning unit that learns user preference for each type in each category for classifying content items in a server;

a selection unit that, based on type information indicating a recommendable type which is a type of content items recommendable by the server, selecting one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selecting one or more types out of a type corresponding with user preference or a type approximate to the type corresponding with user preference satisfying a predetermined first condition in the selected category in a case where there is no recommendable type corresponding with user preference; and

an obtaining unit that obtains a content of the selected type from the server.

14. The information processing apparatus according to claim 13, wherein the selection unit selects one or more types satisfying the first condition out of the recommendable types approximate to the type corresponding with user preference in the selected category in a case where there is no recommendable type corresponding with user preference in the selected category.

15. The information processing apparatus according to claim 13, wherein the selection unit selects one or more types satisfying the first condition only from types corresponding with user preference in the selected category in a case where there is no recommendable type corresponding with user preference in the selected category.

16. The information processing apparatus according to claim 13, wherein the type information further indicates the number of content items for each type, and

the first condition is to determine whether or not a total number of content items of the selected type is equal to or greater than a predetermined threshold value.

17. The information processing apparatus according to claim 13, wherein the type information further indicates a substitutable type satisfying a predetermined second condition out of the recommendable types, and

the selection unit selects one or more substitutable types in the selected category in a case where there is no type corresponding with user preference in the selected category.

18. The information processing apparatus according to claim 17, wherein the recommendable type is a type of content items having a number equal to or greater than a first threshold value out of the content items in the server, and

the substitutable type is a type of content items having a number equal to or greater than a second threshold value which is higher than the first threshold value out of the content items in the server.

19. An information processing method of an information processing apparatus, the method comprising:

learning user preference for each type in each category for classifying content items in a server;

based on type information indicating a recommendable type which is a type of content items recommendable by the server, selecting one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selecting one or more types out of a type corresponding with user preference or a type approximate to the type corresponding with user preference satisfying a predetermined first condition in the selected category in a case where there is no recommendable type corresponding with user preference; and

obtaining a content of the selected type from the server.

20. A program for executing an information processing method in a computer, the method comprising:

learning user preference for each type in each category for classifying content items in a server;

based on type information indicating a recommendable type which is a type of content items recommendable by the server, selecting one or more recommendable types in a case where there is the recommendable type corresponding with user preference in the selected category, and selecting one or more types out of a type corresponding with user preference or a type approximate to the type corresponding with user preference satisfying a predetermined first condition in the selected category in a case where there is no recommendable type corresponding with user preference, and

obtaining a content of the selected type from the server.