Apparatus and method for automatically recording content, and recording medium and program thereof

An automatic content recommending method, comprising:

• providing a processor that carries out the following steps:
• generating preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations,
• generating and renewing preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information, and
• calculating a preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and recommending a specific portion of the content based on the preference degree.

A recording medium recorded with a computer program for executing a process for automatically recommending content, the process comprising:

• generating preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations;
• generating and renewing preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information;
• and
• calculating a preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and recommending a specific portion of the content based on the preference degree.

A system, comprising:

• a processor operable to execute instructions;
• and
• instructions for executing a process for automatically recommending content, the instructions including:
• generating preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations,
• generating and renewing preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information, and
• calculating a preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and recommending a specific portion of the content based on the preference degree.

An apparatus for automatic recommending of content, comprising:

• preference operation history managing means for generating preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations, and for picking up a keyword from the plurality of explanation information using a keyword dictionary when an operation other than a keyword registering operation is performed so as to include the picked up keyword in the preference operation history information;
• preference information managing means for generating and renewing preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information;
• and
• content recommending means for calculating a preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and for recommending a specific portion of the content based on the preference degree.

An automatic content recommending method, comprising:

• providing a processor that carries out the following steps:
• generating preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations, and picking up a keyword from the plurality of explanation information using a keyword dictionary when an operation other than a keyword registering operation is performed so as to include the picked up keyword in the preference operation history information,
• generating and renewing preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information, and
• calculating a preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and recommending a specific portion of the content based on the preference degree.

A recording medium recorded with a computer program for executing a process for automatically recommending content, the process comprising:

• generating preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations, and picking up a keyword from the plurality of explanation information using a keyword dictionary when an operation other than a keyword registering operation is performed so as to include the picked up keyword in the preference operation history information;
• generating and renewing preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information;
• and
• calculating a preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and recommending a specific portion of the content based on the preference degree.

A system, comprising:

• a processor operable to execute instructions;
• and
• instructions for executing a process for automatically recommending content, the instructions including:
• generating preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations, and picking up a keyword from the plurality of explanation information using a keyword dictionary when an operation other than a keyword registering operation is performed so as to include the picked up keyword in the preference operation history information,
• generating and renewing preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information, and
• calculating a preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and recommending a specific portion of the content based on the preference degree.

An automatic content recommending apparatus, comprising:

• a preference operation history managing section operable to generate preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations;
• a preference information managing section operable to generate and renew preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information;
• and
• preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and to recommend a specific portion of the content based on the preference degree.

An content recommending apparatus, comprising:

• a preference operation history managing section operable to generate preference operation history information from a plurality of operations that is performed on particular content and that relates to preferences for the content and from a plurality of explanation information relating to the content, the preference operation history information being generated using a plurality of operation preference value parameters that correspond to a plurality of kinds of operations associated with the plurality of operations, and to pick up a keyword from the plurality of explanation information using a keyword dictionary when an operation other than a keyword registering operation is performed so as to include the picked up keyword in the preference operation history information;
• a preference information managing section operable to generate and renew preference information that includes a plurality of preference values corresponding to a plurality of preference elements relating to the preferences for the content, the plurality of preference values being determined based on the preference operation history information;
• and
• a content recommending section operable to calculate a preference degree relating to the content using the generated and renewed preference information and the plurality of explanation information relating to the content, and to recommend a specific portion of the content based on the preference degree.