CONTENT RECOMMENDATION SYSTEM, CONTENT RECOMMENDATION METHOD, CONTENT RECOMMENDATION APPARATUS, PROGRAM, AND INFORMATION STORAGE MEDIUM

• US 20150006539A1
• Filed: 09/12/2014
• Published: 01/01/2015
• Est. Priority Date: 09/05/2008
• Status: Active Grant

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: SAKAMOTO, Takayuki, KATO, Hiroki, TAKAGI, Tsuyoshi
• Granted Patent: US 10,459,948 B2
• Time in Patent Office: Days
• US Class Current: 707/740
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/637 Administration of user profiles, e.g. generation, initialization, adaptation or distribution
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A content recommendation system includes: an attribute value storage means which stores one or more attribute values of attributes for each content; a preference distribution storage means which stores a user preference degree for each attribute value; an attribute value acquisition means which acquires an attribute value of at least one attribute for each content; a preference distribution update means which updates the storage contents in the preference distribution storage means in accordance with the acquired attribute value; a condition determination means which selects an attribute value of one or more attributes in accordance with probability based on the user preference degree stored in the preference distribution storage means and determines the condition of the attribute value of the one or more attributes in accordance with the selected attribute value; and a content selection means which selects some or all of the contents in accordance with the determined condition.

Claims

1-20. -20. (canceled)

21. A content recommendation system comprising:

a memory configured to store;

metadata of content,

a plurality of templates, each template having metadata of content, and

a user preference with respect to each template and each category of the metadata; and

a circuitry configured to;

select one template among the plurality of templates based on the user preference with respect to each template, and

select content based on the metadata of the selected template, metadata of the content, and the user preference with respect to each category of the metadata.

22. The system of claim 21, wherein the circuitry is further configured to obtain the user preference with respect to at least one category of the metadata.

23. The system of claim 21, wherein the circuitry is further configured to update the user preference with respect to each category of the metadata stored in the memory.

24. The system of claim 21, wherein the circuitry is further configured to present the selected content to the user.

25. The system of claim 21, wherein the circuitry is further configured to use at least one random number to select one template among the plurality of templates.

26. The system of claim 21, wherein the metadata of content comprise:

a plurality of attribute values of attributes; and

a plurality of feature quantities of features.

27. The system of claim 26, wherein the circuitry is further configured to filter the selected content based on the plurality of feature quantities of features.

28. A computer-implemented content recommendation method, the method comprising the following operations performed by one or more processors:

selecting one template among a plurality of templates based on a user preference with respect to each template among the plurality of templates, and

selecting content based on metadata of the selected template, metadata of content, and a user preference with respect to each category of the metadata of content.

29. The method of claim 28, wherein the operations further comprise obtaining the user preference with respect to at least one category of the metadata.

30. The method of claim 28, wherein the operations further comprise updating the user preference with respect to each category of the metadata.

31. The method of claim 28, wherein the operations further comprise presenting the selected content to the user.

32. The method of claim 28, wherein the operations further comprise using at least one random number to select one template among the plurality of templates.

33. The method of claim 28, wherein the metadata of content comprise:

a plurality of attribute values of attributes; and

a plurality of feature quantities of features.

34. The method of claim 33, wherein the operations further comprise filtering the selected content based on the plurality of feature quantities of features

35. A non-transitory computer readable medium storing instructions that, when executed by a processor, cause the processor to:

select one template among a plurality of templates based on a user preference with respect to each template among the plurality of templates, and

select content based on metadata of the selected template, metadata of content, and a user preference with respect to each category of the metadata of content.

36. The medium of claim 35, wherein the instructions further cause the processor to obtain the user preference with respect to at least one category of the metadata.

37. The medium of claim 35, wherein the instructions further cause the processor to update the user preference with respect to each category of the metadata.

38. The medium of claim 35, wherein the instructions further cause the processor to present the selected content to the user.

39. The medium of claim 35, wherein the instructions further cause the processor to use at least one random number to select one template among the plurality of templates.

40. The medium of claim 35, wherein:

the metadata of content comprise;

a plurality of attribute values of attributes, and

a plurality of feature quantities of features; and

the instructions further cause the processor to filter the selected content based on the plurality of feature quantities of features.