Information recommendation apparatus and information recommendation system

An information recommendation apparatus comprising:

• recommendation means of selecting and recommending contents coincident with or similar to conditions input by condition input means of inputting said conditions represented by predetermined items and attribute values corresponding thereto, from among contents formed of plural pieces of data having plural items and attribute values corresponding thereto and stored in a content database in which said contents are registered by registration means, wherein
• said recommended contents are output by output means,
• on the basis of contents registered in the past by a user attempting to receive recommendation, contents recommended to said user or contents recommended to and specified by said user, characteristic information calculation means of obtaining characteristic information by calculation for each of said items and storing said characteristic information obtains said characteristic information by calculation and stores said characteristic information, and
• in the case of recommendation to a specific user, said recommendation means specifies other users whose characteristic information is coincident or similar to said characteristic information of said specific user by using said stored characteristic information, and selects and recommends contents registered in the past by said other users, contents recommended to said other users or contents recommended to and specified by said other users.

An information recommendation apparatus comprising:

• recommendation means of selecting and recommending recipes coincident with or similar to conditions input by condition input means of inputting said conditions represented by predetermined items and attribute values corresponding thereto from a content database, that is, from among said recipes formed of plural pieces of data having plural items and attribute values corresponding thereto and stored in said content database in which said recipes are registered by registration means, wherein
• said recommended contents are output by output means,
• said content database is classified into recipe groups for dishes taken for a meal, and
• when said conditions are input, said recommendation means determines a recipe coincident with or most similar to said conditions, and selects and determines all or part of recipes other than said determined recipe.

An information recommendation apparatus comprising:

• recommendation means of selecting and recommending contents coincident with or similar to conditions input by condition input means of inputting said conditions represented by predetermined items and attribute values corresponding thereto, from among contents formed of plural pieces of data having plural items and attribute values corresponding thereto and stored in a content database in which said contents are registered by registration means, wherein
• said recommended contents are output by output means,
• on the basis of contents registered in the past by a user attempting to receive recommendation, contents recommended to said user or contents recommended to and specified by said user, characteristic information calculation means of obtaining characteristic information by calculation for each of said items and storing said characteristic information obtains said characteristic information by calculation and stores said characteristic information,
• while various characteristics regarding said user have been input, type information calculation means of using said characteristic information obtained for each of said items by calculation for each characteristic as said type information, and
• type judgment means judges the type of said user attempting to receive recommendation by comparing said characteristic information of said user attempting to receive recommendation with said type information.

An information recommendation apparatus comprising:

• from among contents formed of plural pieces of data having plural items and attribute values corresponding thereto and stored in a content database in which said contents are registered by registration means,
• recommendation means, in the case when recommendation is performed to said user having an input user ID, of specifying other users whose characteristic information is coincident or similar to said characteristic information of said user having said user ID by using said characteristic information, and of selecting and recommending only the contents not recommended to said user having said user ID or only the contents recommended to but not specified by said user from among contents registered in the past by said specified user, contents recommended to said user or contents recommended to and specified by said user,
• wherein said recommended contents are output by output means, and
• said characteristic information is obtained by calculation for each item and stored by characteristic information calculation means on the basis of contents registered in the past by each user attempting to receive recommendation, contents recommended to said user or contents recommended to and specified by said user.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values via the Internet when said conditions are designated through the terminal of a user;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• and
• output means of outputting said recommended contents to said terminal via said Internet.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• and
• output means of outputting said selected contents, wherein
• said items are subjective items resulting from human decisions and impressions, and/or objective items free from human decisions and impressions.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• and
• output means of outputting said recommended contents, wherein
• a scoring method for scoring points to each of said items depending on the degree of similarity is predetermined in order to judge the similarity between said conditions to be input and each of said contents.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• and
• output means of outputting said recommended contents, wherein
• a thesaurus is used to judge the similarity between said conditions to be input and each of said contents in the case when said attribute values are represented by words.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• and
• output means of outputting said recommended contents, wherein
• the number of times a user attempting to receive recommendation receives recommendation or the content of the recommendation is determined depending on the number of times said user carried out registration by using said content registration means.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• output means of outputting said recommended contents, and
• condition extraction means of automatically extracting said conditions, wherein
• said conditions input to said condition input means are conditions extracted by condition extraction means.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• output means of outputting said recommended contents;
• and
• characteristic information calculation means of obtaining characteristic information by calculation for each of said items and storing said characteristic information on the basis of contents registered in the past by a user attempting to receive recommendation, contents recommended to said user or contents recommended to and specified by said user, wherein,
• in the case of recommendation to a specific user, said recommendation means specifies other users whose characteristic information is coincident or similar to said characteristic information of said specific user by using said stored characteristic information, and selects and recommends contents registered in the past by said other users, contents recommended to said other users or contents recommended to and specified by said other users.

An information recommendation system comprising:

• a content database for storing recipes formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said recipes in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending recipes coincident with or similar to said input conditions from said content database;
• and
• output means of outputting said recommended contents, wherein
• said content database is classified into recipe groups for dishes taken for a meal, and
• when said conditions are input, said recommendation means determines a recipe coincident with or most similar to said conditions, and selects and determines all or part of recipes other than said determined recipe.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined item and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• output means of outputting said recommended contents;
• characteristic information calculation means of obtaining characteristic information by calculation for each of said items and storing said characteristic information on the basis of contents registered in the past by a user attempting to receive recommendation, contents recommended to said user or contents recommended to and specified by said user;
• type information calculation means of using said characteristic information obtained by calculation for each characteristic as type information, while various characteristics regarding said user have been input;
• and
• type judgment means of judging the type of said user attempting to receive recommendation by comparing said characteristic information of said user with said type information.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• output means of outputting said recommended contents;
• advertisement database for storing plural advertisements having related information having the same configuration as those of said items and said attribute values in said contents;
• and
• advertisement specifying means of specifying advertisements coincident with or similar to said input conditions among advertisements stored in said advertisement database.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• condition input means of inputting conditions represented by predetermined items and attribute values;
• recommendation means of selecting and recommending contents coincident with or similar to said input conditions from said content database;
• output means of outputting said recommended contents;
• advertisement database for storing plural advertisements having related information having the same configuration as those of said items and said attribute values in said contents;
• and
• advertisement specifying means of specifying an advertisement, which is similar to the characteristic information of each item for a user and obtained by calculation and stored on the basis of contents registered in the past by said user attempting to receive recommendation, contents recommended to said user or contents recommended to and specified by said user, among said advertisements stored in said advertisement database.

An information recommendation system comprising:

• a content database for storing contents formed of plural pieces of data having plural items and attribute values corresponding thereto;
• content registration means of registering said contents in said content database;
• characteristic information calculation means of obtaining characteristic information by calculation for each of said items and storing said characteristic information on the basis of contents registered in the past by a user attempting to receive recommendation, contents recommended to said user or contents recommended to and specified by said user;
• recommendation means, in the case when recommendation is performed to said user having an input user ID, of specifying other users whose characteristic information is coincident with or similar to said characteristic information to said user having said user ID by using stored characteristic information, and of selecting and recommending only the contents not recommended to said user having said user ID or the contents recommended to but not specified by said user from among contents registered in the past by said specified user, contents recommended to said user or contents recommended to and specified by said user, in said content database;
• and
• output means of outputting said recommended contents.