INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM

• US 20110313956A1
• Filed: 06/08/2011
• Published: 12/22/2011
• Est. Priority Date: 06/16/2010
• Status: Abandoned Application

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Abe, Shinichiro, Usui, Takashi, Takada, Masayuki
• Application Number:
  US13/155,637
• Publication Number:
  US 20110313956A1
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/90344 by using string matching techniques
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

There is provided an apparatus including an information processing apparatus, including a behavior learning unit that learns an activity model representing an activity state of a user as a probabilistic state transition model from time-series data of the user'"'"'s location, and that finds a state node corresponding to a location where the user conducts activities using the user'"'"'s activity model, a candidate assigning unit that assigns category candidates related to location or time to the state node, and a display unit that presents the category candidate to the user.

Claims

1. An information processing apparatus, comprising:

a behavior learning unit that learns an activity model representing an activity state of a user as a probabilistic state transition model from time-series data of the user'"'"'s location, and that finds a state node corresponding to a location where the user conducts activities using the user'"'"'s activity model;

a candidate assigning unit that assigns category candidates related to location or time to the state node; and

a display unit that presents the category candidate to the user.

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

a map database including map data and attribute information of a location associated with the map data; and

a category extraction unit that extracts the category candidates based on the state node and the map database.

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

a behavior prediction unit that predicts routes available from the state node;

a labeling unit that registers at least one of the category candidates among the category candidates as a label to the state node; and

an information presenting unit that provides information related to the state node included in the predicted routes based on the registered label.

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

the information related to the state node is determined in accordance with an attribute of the label.

5. An information processing method comprising:

learning an activity model representing an activity state of a user as a probabilistic state transition model from time-series data of the user'"'"'s location, and finding a state node corresponding to a location where the user takes actions using the user'"'"'s activity model;

assigning category candidates related to location or time to the state node; and

presenting the category candidate to the user.

6. A program for causing a computer to execute:

learning an activity model representing an activity state of a user as a probabilistic state transition model from time-series data of the user'"'"'s location, and that finds a state node corresponding to a location where the user takes actions using the user'"'"'s activity model;

assigning category candidates related to location or time to the state node; and

presenting the category candidate to the user.