Information use frequency prediction program, information use frequency prediction method, and information use frequency prediction apparatus

• US 6,873,983 B2
• Filed: 01/18/2002
• Issued: 03/29/2005
• Est. Priority Date: 05/22/2001
• Status: Expired due to Fees

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Misue, Kazuo, Ugai, Takanori
• Primary Examiner(s): Rones, Charles
• Assistant Examiner(s): Ortiz, Belix M.
• Application Number:
  US10/050,862
• Publication Number:
  US 20020184212A1
• Time in Patent Office: 1,166 Days
• Field of Search: 707/3, 707/4, 707 5- 6, 707/1, 381 29- 43, 381 51- 53
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99936 Pattern matching access

Abstract

The information use frequency prediction device is provided with a comparison section for shifting a second time series data related to the use frequency of a first keyword, sequentially on the time base in a unit of predetermined time, based on a first time series data related to the use frequency of a second keyword input while searching over the Internet, and calculating a correlation coefficient between the first time series data and the second time series data, for each unit of predetermined time. Moreover, a prediction section specifies a pair of the first time series data and the second time series data, corresponding to the correlation coefficient having the highest value, of a plurality of correlation coefficients calculated by the comparison section and for predicting the use frequency of the first time series data constituting the pair, based on the second time series data.

Claims

1. An information use frequency prediction program which causes a computer to function as:

a temporal operation unit which sequentially performs temporal operations in a unit of predetermined times, the temporal operations being performed with respect to a relative relation between a first pattern of a first data including use frequency based on first time series information that represents a temporal change of the use frequency of the first time series information of the first data, and a second pattern of a second data including use frequency of second time series information that represents a temporal change of the use frequency of the second time sense information based on the second data;

a correlation coefficient calculation unit which calculates a correlation coefficient between the first time series information and the second time series information for each unit of the predetermined times based on the relative relation between the first and second patterns;

a pair specifying unit which specifies a pair of the first time series information and the second time series information, corresponding to the correlation coefficient having the highest value, of a plurality of correlation coefficients calculated by the correlation coefficient calculation unit; and

a prediction unit which predicts additional data of the use frequency of the first time series information constituting the pair based on the second pattern corresponding to the pair, and

wherein a time corresponding to each data contained in the first data is different from a time corresponding to the additional data.

2. The information use frequency prediction program according to claim 1, wherein the temporal operation unit performs the temporal operation, with regard to all combinations of a plurality of first time series information belonging to a first group, and a plurality of second time series information belonging to a second group.

3. The information use frequency prediction program according to 2, which causes a computer to function as sod unit which sorts a plurality of prediction results in the prediction unit, by using the use frequency as a key.

4. The information use frequency prediction program according to claim 1, wherein the temporal operation unit shifts the second time series information, sequentially on the time base in a unit of the predetermined time, based on the first time series information.

5. The information use frequency prediction program according to claim 1, wherein the temporal operation unit expands or contracts the second time series information time wise, sequentially, in a unit of predetermined expansion and contraction, based on the first time series information.

6. The information use frequency prediction program according to claim 1, wherein the temporal operation unit shifts the second time series information, sequentially on the time base in a unit of the predetermined time, and expands and contracts the shifted second time series information time wise, sequentially, in a unit of predetermined expansion and contraction, based on the first time series information.

7. The information use frequency prediction program according to claim 1, wherein the first time series information and the second time series information are time series information of use frequency of keywords in a keyword search engine on the Internet.

8. The information use frequency prediction program according to claim 1, wherein the first time series information and the second time series information are collected via different collection routes.

9. The information use frequency prediction program according to claim 1, wherein the first time series information and the second time series information are collected via the same collection route, and the collected time series information is grouped into two.

10. An information use frequency prediction apparatus, comprising:

a temporal operation unit which sequentially performs temporal operations in a unit of predetermined times, the temporal operations being performed with respect to a relative relation between a first pattern of a first data including use frequency based on first time series information that represents a temporal change of the use frequency of the first time series information of the first data, and a second pattern of a second data including use frequency of second time series information that represents a temporal change of the use frequency of the second time series information based on the second data;

a correlation coefficient calculation unit which calculates a correlation coefficient between the first time series information and the second time series information for each unit of the predetermined times based on the relative relation between the first and second patterns;

a pair specifying unit which specifies a pair of the first time series information and the second time series information, corresponding to the correlation coefficient having the highest value, of a plurality of correlation coefficients calculated by the correlation coefficient calculation unit; and

a prediction unit which predicts additional data of the use frequency of the first time series information constituting the pair based on the second pattern corresponding to the pair, and

wherein a time corresponding to each data contained in the first data is different from a time corresponding to the additional data.

11. The information use frequency prediction apparatus according to claim 10, wherein the temporal operation unit shifts the second time series information on the time base, sequentially, in a unit of predetermined time, based on the first time series information.

12. The information use frequency prediction apparatus according to claim 10, wherein the temporal operation unit expands or contracts the second time series information time wise, sequentially, in a unit of predetermined expansion and contraction, based on the first time series information.

13. An information use frequency prediction method, comprising:

sequentially performs temporal operations in a unit of predetermined times, the temporal operations being performed with respect to a relative relation between a first pattern of a first data including use frequency based on first time series information that represents a temporal change of the use frequency of the first time series information of the first data, and a second pattern of a second data including use frequency of second time series information that represents a temporal change of the use frequency of the second time series information based on the second data;

calculation unit which calculates a correlation coefficient between the first time series information and the second time series information for each unit of the predetermined times based on the relative relation between the first and second patterns;

specifies a pair of the first time series information and the second time series information, corresponding to the correlation coefficient having the highest value, of a plurality of correlation coefficients calculated by the correlation coefficient calculation unit; and

predicts additional data of the use frequency of the first time series information constituting the pair based on the second pattern corresponding to the pair, and

wherein a time corresponding to each data contained in the first data is different from a time corresponding to the additional data.

14. The information use frequency prediction method according to claim 13, wherein in the temporal operation step, the second time series information is shifted on the time base, sequentially, in a unit of predetermined time, based on the first time series information.

15. The information use frequency prediction method according to claim 13, wherein in the temporal operation step, the second time series information is expanded or contracted time wise, sequentially, in a unit of predetermined expansion and contraction, based on the first time series information.