DATA DISPLAY SERVER, DATA DISPLAY METHOD AND PROGRAM THEREOF

• US 20130124516A1
• Filed: 01/10/2013
• Published: 05/16/2013
• Est. Priority Date: 01/07/2004
• Status: Abandoned Application

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Naito, Taketo, Kamachi, Naoya
• Application Number:
  US13/738,663
• Publication Number:
  US 20130124516A1
• Time in Patent Office: Days
• US Class Current: 707/731
• CPC Class Codes: G06F 16/38 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

The present invention relates to recommendation of items to a user for providing items more satisfying a user'"'"'s request on the basis of new association. The present invention provides a data display server connected to a user terminal, which includes a posting database for storing posting data posted through the user terminal, a reference data base for storing reference data, relational metadata generating means which generates relational metadata making association between two pieces of reference data, and a relational database for storing the relational metadata. According to the arrangement, tight linking between reference data is made possible so that items more suitable for a user'"'"'s preference can be recommended.

Claims

1. An information processing apparatus comprising:

a post information analyzing unit configured to analyze post information corresponding to item information, the post information being included in content posted by a user in social media;

a related information generating unit configured to generate related information based on reference information associated with the content and the post information; and

a recommendation information displaying unit configured to display recommendation information based on the related information and to display a recommendation reason.

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

a user database configured to store user data, including at least one category of interest of the user; and

a reference database configured to store the item information and category information, each piece of item information corresponding to at least one piece of category information.

3. The information processing apparatus according to claim 2, wherein

the recommendation information includes one or more pieces of item information related to the item information corresponding to the post information, and

the one or more pieces of the recommendation information are displayed in order of relevancy to the at least one category of interest of the user stored in the user database.

4. The information processing apparatus according to claim 1, wherein the displayed recommendation reason describes a relationship between the item information corresponding to the post information and one or more pieces of item information included in the recommendation information.

5. An information processing method comprising:

analyzing post information corresponding to item information, the post information being included in content posted by a user in social media;

generating related information based on reference information associated with the content and the post information; and

displaying recommendation information based on the related information and to display a recommendation reason.

6. The information processing method according to claim 5, further comprising:

storing user data, including at least one category of interest of the user; and

storing the item information and category information, each piece of item information corresponding to at least one piece of category information.

7. The information processing method according to claim 6, wherein

the recommendation information includes one or more pieces of item information related to the item information corresponding to the post information, and

the one or more pieces of the recommendation information are displayed in order of relevancy to the at least one category of interest of the user stored in the user database.

8. The information processing method according to claim 5, wherein the displayed recommendation reason describes a relationship between the item information corresponding to the post information and one or more pieces of item information included in the recommendation information.

9. A non-transitory computer-readable storage medium storing computer-readable instructions thereon, which, when executed by a computer, cause the computer to perform an information processing method comprising:

analyzing post information corresponding to item information, the post information being included in content posted by a user in social media;

generating related information based on reference information associated with the content and the post information; and

displaying recommendation information based on the related information and to display a recommendation reason.

10. The non-transitory computer-readable storage medium according to claim 9, further comprising:

storing user data, including at least one category of interest of the user; and

storing the item information and category information, each piece of item information corresponding to at least one piece of category information.

11. The non-transitory computer-readable storage medium according to claim 10, wherein

the recommendation information includes one or more pieces of item information related to the item information corresponding to the post information, and

the one or more pieces of the recommendation information are displayed in order of relevancy to the at least one category of interest of the user stored in the user database.

12. The non-transitory computer-readable storage medium according to claim 9, wherein the displayed recommendation reason describes a relationship between the item information corresponding to the post information and one or more pieces of item information included in the recommendation information.