RECOMMENDATION APPARATUS, RECOMMENDATION METHOD, AND STORAGE MEDIUM

• US 20140297677A1
• Filed: 03/25/2014
• Published: 10/02/2014
• Est. Priority Date: 03/29/2013
• Status: Active Grant

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Shimizu, Tomoyuki
• Granted Patent: US 9,672,275 B2
• Time in Patent Office: Days
• US Class Current: 707/767
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence

Abstract

There is provided a technique capable of recommending more useful contents to a recommendation target user who is the current work user. A group of recommendation candidate contents is obtained from a similar work case similar to work by the recommendation target user. A relationship between an arbitrary user and the recommendation candidate contents is detected. Recommendation candidate contents having the detected relationship with the recommendation target user are recommended by priority from among the group of recommendation candidate contents.

Claims

1. A recommendation apparatus of contents, comprising:

an acquisition unit configured to obtain a group of recommendation candidate contents from a similar work case similar to work by a recommendation target user;

a detection unit configured to detect a relationship between an arbitrary user and the recommendation candidate contents; and

a recommendation unit configured to recommend recommendation candidate contents having the detected relationship with the recommendation target user by priority from among the group of recommendation candidate contents.

2. The recommendation apparatus according to claim 1, wherein the detection unit is configured to detect the relationship from a relationship storage unit configured to store a relationship between a user and contents.

3. The recommendation apparatus according to claim 2, wherein the relationship stored in the relationship storage unit is written in an RDFS/OWL format.

4. The recommendation apparatus according to claim 2, wherein the relationship stored in the relationship storage unit is written in a graph format.

5. The recommendation apparatus according to claim 1, wherein the recommendation unit is configured to determine contents having the detected relationship with the recommendation target user by using a SPARQL language.

6. The recommendation apparatus according to claim 1, wherein the acquisition unit is configured to obtain a group of recommendation candidate contents from a similar work case in subdivided units of the work.

7. The recommendation apparatus according to claim 1, wherein the recommendation unit is configured to, if there is no recommendation candidate contents having the detected relationship with the recommendation target user, recommend recommendation candidate contents having a relationship of a superordinate concept with the recommendation target user, the relationship of the superordinate concept being detected by the detection unit.

8. A recommendation method of contents, comprising:

obtaining a group of recommendation candidate contents from a similar work case similar to work by a recommendation target user;

detecting a relationship between an arbitrary user and the recommendation candidate contents; and

recommending recommendation candidate contents having the detected relationship with the recommendation target user by priority from among the group of recommendation candidate contents.

9. A computer-readable storage medium storing a program for causing a computer to perform a recommendation method comprising:

obtaining a group of recommendation candidate contents from a similar work case similar to work by a recommendation target user;

detecting a relationship between an arbitrary user and the recommendation candidate contents; and

recommending recommendation candidate contents having the detected relationship with the recommendation target user by priority from among the group of recommendation candidate contents.