Information processing apparatus, information processing method, and program

• US 20060036640A1
• Filed: 07/28/2005
• Published: 02/16/2006
• Est. Priority Date: 08/03/2004
• Status: Abandoned Application

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Miyazaki, Mitsuhiro, Saito, Mari, Yamamoto, Noriyuki, Tateno, Kei
• Application Number:
  US11/190,858
• Publication Number:
  US 20060036640A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

The present invention enables execution of the processing using metadata such as content recommendation in consideration to cooccurrence relation among metadata. A matrix generating section generates a metadata matrix having N rows corresponding to N metadata (N: integral number of 1 or more) respectively and M columns corresponding to M metadata (M: integral number of 1 or more). A LSA computing section generated an approximated matrix of a metadata matrix by subjecting the metadata matrix to singular value decomposition. The metadata extracting section computes, for each of the N metadata, an index value such as a feature difference indicating importance of metadata corresponding to the metadata above, and extracts important metadata or unnecessary metadata from among the N metadata. The present invention may be applied to an information processing apparatus for content recommendation.

Claims

1. An information processing apparatus comprising:

a matrix generating unit for vectorizing each of M (integral value of 1 or more) contents among a plurality of contents referring to N (integral value of 1 or more) metadata correlated to at least one of the plurality of contents and generating a matrix including M vectors obtained as a result of vectorization as column components or row components as a metadata matrix;

an approximated matrix generating unit for generating an approximated matrix for the metadata matrix by subjecting the metadata matrix generated by the matrix generating unit to singular value decomposition;

an index value computing unit for computing an index value indicating importance of corresponding metadata for each of the N metadata based on a difference between the metadata matrix generated by the matrix generating unit and the approximated matrix generated by the approximated matrix generating unit; and

an extracting unit for extracting at least one from the N metadata as important metadata having high importance or unnecessary metadata having low importance based on the N index values computed by the index value computing unit.

2. The information processing apparatus according to claim 1,

wherein said index value computing unit successively sets the N metadata as remarked metadata respectively, computes difference values between each of the M row or column component values indicating remarked metadata in the approximated matrix and a corresponding component value in the metadata matrix, and also computes an average value of or a maximum value among the computed M difference values as an index value indicating importance of the remarked metadata.

3. The information processing apparatus according to claim 1,

wherein said index value computing unit successively sets N metadata as remarked metadata respectively, computes quotients obtained by dividing M row or column component values indicating remarked metadata in the approximated matrix by a corresponding component value in the metadata matrix, and computes an average value of or a maximum value among the computed M quotients as an index value indicating importance of the remarked metadata.

4. The information processing apparatus according to claim 1 further comprising:

a recommending unit for deciding one or more contents to be recommended to a user from among the plurality of contents by making use of said important metadata extracted by said extracting unit or metadata excluding said unnecessary metadata extracted by said extracting unit among said N metadata; and

a presenting unit for presenting said contents decided by said recommending unit as those to be recommended to said user.

5. The information processing apparatus according to claim 1 further comprising:

a presenting unit for presenting said important metadata or said unnecessary metadata extracted by said extracting unit to the user.

6. The information processing apparatus according to claim 1 further comprising:

a storage unit for storing therein said important metadata or said unnecessary metadata extracted by said extracting unit.

7. An information processing method comprising the steps of:

generating a matrix, for vectorizing each of M (integral value of 1 or more) contents among a plurality of contents based on N (integral value of 1 or more) metadata correlated to at least one of the plurality of contents and generating a matrix including M vectors obtained as a result of vectorization as column components or row components as a metadata matrix;

generating an approximated matrix, for the metadata matrix, by subjecting the metadata matrix generated in said matrix generating step to singular value decomposition;

computing an index value, in which the index value indicating importance of corresponding metadata for each of the N metadata based on a difference between the metadata matrix generated in the matrix generating step and said approximated matrix generated in said approximated matrix generating step; and

extracting, at least one from the N metadata as important metadata having high importance or unnecessary metadata having low importance based on the N index values computed in said index value computing step.

8. A program to be executed by a computer, comprising the steps of:

generating a matrix, for vectorizing each of M (integral value of 1 or more) contents among a plurality of contents based on N (integral value of 1 or more) metadata correlated to at least one of the plurality of contents and generating a matrix including M vectors obtained as a result of vectorization as column components or row components as a metadata matrix;

generating an approximated matrix, for the metadata matrix, by subjecting the metadata matrix generated in said matrix generating step to singular value decomposition;

computing an index value, in which the index value indicating importance of corresponding metadata for each of the N metadata based on a difference between the metadata matrix generated in the matrix generating step and said approximated matrix generated in said approximated matrix generating step; and

extracting, at least one from the N metadata as important metadata having high importance or unnecessary metadata having low importance based on the N index values computed in said index value computing step.