INFORMATION RECOMMENDATION APPARATUS AND INFORMATION RECOMMENDATION SYSTEM

• US 20080195607A1
• Filed: 04/11/2008
• Published: 08/14/2008
• Est. Priority Date: 05/17/2000
• Status: Abandoned Application

• Current Assignee: Sovereign Peak Ventures, LLC (Dominion Harbor Enterprises, LLC)
• Original Assignee: Matsushita Electric Industrial Company Limited (Panasonic Holdings Corporation)
• Inventors: Naito, Eiichi, Kutsumi, Hiroshi, Araki, Shouichi, Jitousho, Yuumi, Hiratsuka, Tomoyasu
• Application Number:
  US12/101,539
• Publication Number:
  US 20080195607A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A23L 35/00 Food or foodstuffs not provided for in groups A23L5/00 – A23L33/00; Preparation or treatment thereof
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

An information recommendation apparatus has

• • recommendation means of selecting and recommending contents coincident with or similar to conditions input by condition input means of inputting the conditions represented by predetermined items and attribute values corresponding thereto designated through the terminal of a user via the Internet, 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 the contents are registered by registration means, wherein
  • the recommended contents are output to the terminal by output means via the Internet.

Claims

1. 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, and

said conditions input to said condition input means are conditions extracted by condition extraction means of automatically extracting said conditions.

2. An information recommendation apparatus according to claim 1, wherein the conditions to be input to said condition input means are those extracted on the basis of contents registered in the past by a user who will receive recommendation.

3. An information recommendation apparatus according to claim 1, wherein the characteristic of each item of said user is obtained by calculation each time said user registers said data.

4. An information recommendation apparatus according to claim 1, wherein the conditions to be input to said condition input means are extracted on the basis of contents recommended in the past to a user who is attempting to receive recommendation or on the basis of contents recommended to and specified by said user.

5. An information recommendation apparatus according to claim 4, wherein the characteristic of each item of said user is obtained by calculation by characteristic calculation means each time said user receives recommendation or each time said user receives recommendation and specifies the contents.

6. An information recommendation apparatus according to claim 2, wherein, when said conditions are extracted from said contents, said conditions having tendencies opposite to those of said contents are extracted.

7. An information recommendation apparatus according to claim 1, wherein said condition input means inputs said externally input conditions and said automatically extracted conditions, and

said recommendation means selects contents coincident with or similar to said automatically extracted conditions from only said contents conforming to said externally input conditions and recommend said selected contents.

8. An information recommendation apparatus according to claim 4, wherein, when said conditions are extracted from said contents, said conditions having tendencies opposite to those of said contents are extracted.