User activity estimation system and a user activity estimating method

• US 20070033083A1
• Filed: 08/02/2006
• Published: 02/08/2007
• Est. Priority Date: 08/04/2005
• Status: Active Grant

• Current Assignee: NTT Docomo Incorporated (Nippon Telegraph and Telephone Corporation)
• Original Assignee: NTT Docomo Incorporated (Nippon Telegraph and Telephone Corporation)
• Inventors: Tanaka, Satoshi, Yamazaki, Kenichi, Kunito, Goro, Yamada, Naoharu, Sakamoto, Kenji
• Granted Patent: US 8,200,517 B2
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06F 3/002 Specific input/output arrangements not covered by G06F3/01 - G06F3/16 other optical apparatus G02B27/00
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A noun and a verb is mapped as the information about an article to which an article identifier such as a radio tag, etc. is attached and a user activity, thereby estimating a user activity from the article to which the article identifier is attached and providing a user with appropriate information. An article identifier for identification of an article is associated with article information and stored (step S202), and the relationship between a noun relating to the article information and a verb relating to the article are associated with a conditional probability and held in the probability information holding unit (step S207). Upon detection of the article identifier, the probability of the verb to the noun is calculated based on the contents held in the probability information holding unit, thereby estimating a user activity (step S212). Thus, based on the detection result of the article identifier attached to the article, the activity of the user on the article can be estimated. As a result, an appropriate service can be provided for the activity of the user.

Claims

1. A user activity estimation system which estimates a user activity from an article to which an article identifier for identification of an article is attached, comprising:

attribute information holding means for holding the article identifier associated with article information;

probability information holding means for holding a relationship between a noun relating to the article information and a verb relating to the article associated with a conditional probability; and

activity estimation means for estimating a user activity upon detection of the article identifier based on contents held in the probability information holding means.

2. The user activity estimation system according to claim 1, further comprising

learning means for learning a relationship between the noun and the verb relating to the user activity, wherein

the probability information holding means holds a learning result of the learning means.

3. The user activity estimation system according to claim 1, wherein

the activity estimation means replaces the noun with information about an article corresponding to the article identifier, and replaces the verb with a user activity, thereby obtaining a relationship between the information about the article and the user activity on the article from the relationship between the noun and the verb, and estimating a user activity based on detecting result of article to which the article identifier is attached.

4. The user activity estimation system according to claim 1, wherein

when a plurality of article identifiers are detected, the activity estimation means totalizes the conditional probability, and estimates a user activity based on a totalizing result.

5. The user activity estimation system according to claim 1, further comprising

user interaction means for communication with a user, wherein

contents of the probability information holding means are changed based on a result of selection by a user on contents presented by the user interaction means.

6. A user activity estimating method for estimating a user activity from an article to which an article identifier for identification of an article is attached, comprising:

an attribute information holding step of holding the article identifier associated with article information;

a probability information holding step of holding a relationship between a noun relating to the article information and a verb relating to the article associated with a conditional probability in probability information holding means; and

an activity estimating step of estimating a user activity upon detection of the article identifier based on contents held in the probability information holding means.

7. A user activity estimating method for estimating a user activity from an article to which an article identifier for identification of an article is attached, comprising:

an attribute information holding step of holding the article identifier associated with article information;

a probability information holding step of holding a relationship between a noun relating to the article information and a verb relating to the article associated with a conditional probability in probability information holding means;

a learning step of holding a result of learning a relationship between the noun and the verb relating to a user activity; and

an activity estimating step of estimating a user activity upon detection of the article identifier based on contents held in the probability information holding means.