Content processing apparatus, content processing method, program, and recording medium

A content processing method comprising the steps of:

• generating commercial preference information by associating each of types of commercials included in content viewed by a user with the number of times commercials of a corresponding one of the types have been viewed by the user in a predetermined period;
• generating program commercial information of each of a plurality of pieces of recorded content by associating each of types of commercials inserted in each of the plurality of pieces of recorded content with the number of commercials of a corresponding one of the types, and computing a similarity between the program commercial information and the commercial preference information;
• and
• specifying content corresponding to the program commercial information having the computed similarity equal to or larger than a predetermined threshold value as content to be recommended for the user.

A program causing a computer to function as:

• commercial specifying means for specifying types of commercials included in content viewed by a user;
• commercial preference information generating means for generating commercial preference information by associating each of the types of commercials with the number of times commercials of a corresponding one of the types have been viewed by the user in a predetermined period;
• similarity computing means for generating program commercial information of each of a plurality of pieces of recorded content by associating each of types of commercials inserted in each of the plurality of pieces of recorded content with the number of commercials of a corresponding one of the types, and computing a similarity between the program commercial information and the commercial preference information;
• and
• recommendation specifying means for specifying content corresponding to the program commercial information having the computed similarity equal to or larger than a predetermined threshold value as content to be recommended for the user.

A content processing apparatus comprising:

• commercial specifying means for specifying types of commercials included in content viewed by a user;
• commercial preference information generating means for generating commercial preference information by associating each of the types of commercials with the number of times commercials of a corresponding one of the types have been viewed by the user in a predetermined period;
• similarity computing means for computing a similarity between the commercial preference information and viewing characteristic information provided in advance;
• and
• recommendation specifying means for specifying information about a product corresponding to the viewing characteristic information having the computed similarity equal to or larger than a predetermined threshold value as information about a product to be recommended for the user.

A content processing method comprising the steps of:

• generating commercial preference information by associating each of types of commercials included in content viewed by a user with the number of times commercials of a corresponding one of the types have been viewed by the user in a predetermined period;
• computing a similarity between the commercial preference information and viewing characteristic information provided in advance;
• and
• specifying information about a product corresponding to the viewing characteristic information having the computed similarity equal to or larger than a predetermined threshold value as information about a product to be recommended for the user.

A program causing a computer to function as:

• commercial specifying means for specifying types of commercials included in content viewed by a user;
• commercial preference information generating means for generating commercial preference information by associating each of the types of commercials with the number of times commercials of a corresponding one of the types have been viewed by the user in a predetermined period;
• similarity computing means for computing a similarity between the commercial preference information and viewing characteristic information provided in advance;
• and
• recommendation specifying means for specifying information about a product corresponding to the viewing characteristic information having the computed similarity equal to or larger than a predetermined threshold value as information about a product to be recommended for the user.

A content processing apparatus comprising:

• a commercial specification unit configured to specify types of commercials included in content viewed by a user;
• a commercial preference information generation unit configured to generate commercial preference information by associating each of the types of commercials with the number of times commercials of a corresponding one of the types have been viewed by the user in a predetermined period;
• a similarity computation unit configured to generate program commercial information of each of a plurality of pieces of recorded content by associating each of types of commercials inserted in each of the plurality of pieces of recorded content with the number of commercials of a corresponding one of the types, and compute a similarity between the program commercial information and the commercial preference information;
• and
• a recommendation specification unit configured to specify content corresponding to the program commercial information having the computed similarity equal to or larger than a predetermined threshold value as content to be recommended for the user.

A content processing apparatus comprising:

• a commercial specification unit configured to specify types of commercials included in content viewed by a user;
• a commercial preference information generation unit configured to generate commercial preference information by associating each of the types of commercials with the number of times commercials of a corresponding one of the types have been viewed by the user in a predetermined period;
• a similarity computation unit configured to compute a similarity between the commercial preference information and viewing characteristic information provided in advance;
• and
• a recommendation specification unit configured to specify information about a product corresponding to the viewing characteristic information having the computed similarity equal to or larger than a predetermined threshold value as information about-a product to be recommended for the user.